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u(e){let{components:t,...n}=e;return(0,o.kt)("wrapper",(0,r.Z)({},l,n,{components:t,mdxType:"MDXLayout"}),(0,o.kt)("h1",{id:"vac-deep-research"},"Vac Deep Research"),(0,o.kt)("p",null,"Vac Deep Research is at the forefront of cutting-edge exploration and innovation within the IFT.\nTheir work extends beyond scientific publications, actively bridging the gap between theory and practice.\nThe team collaborates with various entities, such as Vac R&D units, incubator projects, and IFT projects, to bring their research findings to fruition.\nPart of this effort includes identifying opportunities for and spawning new incubator projects,\nallowing Vac Deep Research to translate their research findings into practical applications within the IFT.\nDeep research encompasses several key areas, including zero knowledge (ZK), decentralised privacy-preserving node provider networks, validator privacy, and libp2p gossipsub improvements."),(0,o.kt)("h2",{id:"zero-knowledge-proofs"},"Zero-knowledge Proofs"),(0,o.kt)("p",null,"In the realm of ZKP, Vac Deep Research has made contributions that have given rise to the ",(0,o.kt)("a",{parentName:"p",href:"/vips"},"incubator project")," Nescience.\nThe team delved into the intricacies of zero-knowledge proofs, exploring their applications and pushing the boundaries of privacy-preserving technologies.\nBy advancing the field of ZK, Vac Deep Research strengthens the foundation for secure and confidential interactions within decentralised networks."),(0,o.kt)("h2",{id:"libp2p-gossipsub-improvements"},"Libp2p Gossipsub Improvements"),(0,o.kt)("p",null,'Another area of focus for Vac Deep Research is "libp2p gossipsub improvements".\nThe team explores ways to enhance the performance, efficiency, and reliability of the libp2p gossipsub protocol.\nBy conducting in-depth research and proposing improvements, Vac Deep Research aims to optimise information sharing and communication within decentralised networks,\ncontributing to the overall 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strategies\nbased on TKE's research.\nThe team brings together a broad spectrum of skills and knowledge, ranging from the modeling of dynamic systems to theoretical modeling,\nand general cryptoeconomics."),(0,r.kt)("h2",{id:"distributed-systems-testing-dst"},"Distributed Systems Testing (DST)"),(0,r.kt)("p",null,"The Distributed Systems Testing (DST) R&D Service Unit is responsible for developing distributed systems testing software.\nDST's primary objective is to assist IFT projects in understanding the scaling behaviour of their nodes within larger networks.\nBy conducting thorough regression testing, the DST unit helps identify potential bottlenecks and performance issues,\nensuring the reliability and stability of the projects.\nThe DST unit's expertise in distributed systems testing enables IFT projects to deliver scalable and resilient solutions that can withstand the demands of real-world decentralised applications."),(0,r.kt)("h2",{id:"quality-assurance-qa"},"Quality Assurance (QA)"),(0,r.kt)("p",null,"The QA Service Unit is dedicated to supporting IFT projects through the development and execution of comprehensive test plans.\nPrimary responsibilities include implementing unit tests and interoperability tests to ensure seamless integration and functionality across systems."),(0,r.kt)("p",null,"The QA unit plays a crucial role in the verification of project implementations.\nBy rigorously testing project implementations against defined specifications, QA ensures that all functionalities align with the project's requirements.\nQA's proactive approach in identifying and reporting bugs ensures that any issues are addressed promptly, enhancing the overall quality and reliability of the software.\nThrough meticulous testing and quality assurance processes, the QA Service Unit ensures that IFT projects deliver robust and high-performing software solutions."),(0,r.kt)("h2",{id:"smart-contracts-sc"},"Smart Contracts (SC)"),(0,r.kt)("p",null,"The IFT Smart Contracts Service Unit specializes in the development, maintenance, and auditing of smart contracts for IFT projects.\nThe SC unit ensures that all smart contracts are robust, secure, and aligned with project requirements.\nSC designs and develops smart contracts tailored to the specific needs of IFT projects,\nensuring they function as intended and are up-to-date with any project changes or requirements.\nThe unit's thorough auditing process involves meticulously reviewing smart contracts to identify and rectify potential vulnerabilities,\nensuring the highest standards of security and reliability."),(0,r.kt)("h2",{id:"nim"},"Nim"),(0,r.kt)("p",null,"With IFT's extensive use of the ",(0,r.kt)("a",{parentName:"p",href:"https://nim-lang.org/"},"Nim")," ecosystem,\nthe Nim Service Unit focuses on the development and maintenance of Nim tooling and core libraries essential for IFT projects.\nThe Nim unit works on critical tools in the Nim ecosystem, including the Nim compiler, Nimble (package manager),\nand nim-suggest, ensuring they are efficient, reliable, and up-to-date.\nThe Nim unit further plans to maintain core libraries developed by IFT, such as ",(0,r.kt)("a",{parentName:"p",href:"https://github.com/status-im/nim-chronos"},"Chronos"),".\nThe mandate of the Nim unit also includes providing support to IFT projects regarding the use of Nim,\nidentifying and addressing specific project needs and demands related to the Nim ecosystem."),(0,r.kt)("h2",{id:"applied-cryptography--zk-acz"},"Applied Cryptography & ZK (ACZ)"),(0,r.kt)("p",null,"The Applied Cryptography & ZK R&D Service Unit focuses on cryptographic solutions and zero-knowledge (ZK) proofs.\nACZ provides valuable assistance to IFT projects by offering expertise in employing ZK proofs and implementing cryptographic techniques.\nThe ACZ unit specialises in areas such as employing noise protocol channels and other cryptographic-related aspects.\nBy leveraging cutting-edge cryptographic technologies, ACZ enhances the security, privacy, and trustworthiness of Logos projects,\ncontributing to the overall integrity and resilience of the decentralised web ecosystem.\nACZ develops ",(0,r.kt)("a",{parentName:"p",href:"https://github.com/vacp2p/zerokit"},"zerokit")," and ",(0,r.kt)("a",{parentName:"p",href:"https://github.com/vacp2p/stealth-address-kit"},"stealth-address-kit"),"."),(0,r.kt)("h2",{id:"rfc"},"RFC"),(0,r.kt)("p",null,"The Vac RFC unit serves as a vital cornerstone in the IFT,\ntaking on the responsibility of shepherding and editing ",(0,r.kt)("a",{parentName:"p",href:"https://rfc.vac.dev/"},"specifications")," for IFT projects.\nBy meticulously crafting and overseeing these specifications,\nthe Vac RFC unit acts as a linchpin for ensuring standardised and interoperable protocols within the Logos ecosystem\nThe RFC unit's expertise and attention to detail contribute to a cohesive and collaborative environment,\nfacilitating seamless integration and advancement of decentralised technologies\nthroughout the IFT and beyond."))}d.isMDXComponent=!0},3905:(e,t,n)=>{n.d(t,{Zo:()=>p,kt:()=>h});var i=n(67294);function r(e,t,n){return t in e?Object.defineProperty(e,t,{value:n,enumerable:!0,configurable:!0,writable:!0}):e[t]=n,e}function s(e,t){var n=Object.keys(e);if(Object.getOwnPropertySymbols){var i=Object.getOwnPropertySymbols(e);t&&(i=i.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),n.push.apply(n,i)}return n}function a(e){for(var t=1;t=0||(r[n]=e[n]);return r}(e,t);if(Object.getOwnPropertySymbols){var s=Object.getOwnPropertySymbols(e);for(i=0;i=0||Object.prototype.propertyIsEnumerable.call(e,n)&&(r[n]=e[n])}return r}var c=i.createContext({}),l=function(e){var t=i.useContext(c),n=t;return e&&(n="function"==typeof e?e(t):a(a({},t),e)),n},p=function(e){var t=l(e.components);return i.createElement(c.Provider,{value:t},e.children)},d={inlineCode:"code",wrapper:function(e){var t=e.children;return 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Service Units play a crucial role in supporting ",(0,r.kt)("a",{parentName:"p",href:"https://free.technology"},"IFT")," projects.\nIn addition to providing expertise, resources, and technical guidance,\nthey also develop software artefacts, such as ",(0,r.kt)("a",{parentName:"p",href:"https://github.com/status-im/nim-libp2p"},"nim-libp2p")," and ",(0,r.kt)("a",{parentName:"p",href:"https://github.com/vacp2p/zerokit"},"zerokit"),"."),(0,r.kt)("h2",{id:"p2p"},"P2P"),(0,r.kt)("p",null,"The P2P R&D Service Unit is a vital part of Vac, specialising in peer-to-peer (P2P) technologies.\nThe P2P unit develops ",(0,r.kt)("a",{parentName:"p",href:"https://github.com/status-im/nim-libp2p"},"nim-libp2p"),",\nworks on improving the ",(0,r.kt)("a",{parentName:"p",href:"https://docs.libp2p.io/concepts/pubsub/overview/"},"libp2p gossipsub")," protocol,\nand assists projects with the integration of P2P network layers.\nThe P2P unit collaborates closely with ",(0,r.kt)("a",{parentName:"p",href:"/deepresearch"},"Vac Deep Research")," to conduct research aimed at enhancing libp2p gossipsub.\nBy focusing on advancing P2P technologies, the P2P unit contributes to the overall improvement and efficiency of decentralised networks,\nenabling seamless decentralised communication within IFT projects and beyond."),(0,r.kt)("h2",{id:"token-economics-tke"},"Token Economics (TKE)"),(0,r.kt)("p",null,"The Vac Token Economics Unit is dedicated to assisting IFT projects in designing their token economies, incentives, and markets.\nTKE's collaboration with IFT project teams is intensive and occurs on a day-to-day basis,\nwhere TKE not only responds to their needs but also proactively drives the conversation forward by suggesting new ideas and strategies\nbased on TKE's research.\nThe team brings together a broad spectrum of skills and knowledge, ranging from the modelling of dynamic systems to theoretical modelling\nand general cryptoeconomics."),(0,r.kt)("h2",{id:"distributed-systems-testing-dst"},"Distributed Systems Testing (DST)"),(0,r.kt)("p",null,"The Distributed Systems Testing (DST) R&D Service Unit is responsible for developing distributed systems testing software.\nDST's primary objective is to assist IFT projects in understanding the scaling behaviour of their nodes within larger networks.\nBy conducting thorough regression testing, the DST unit helps identify potential bottlenecks and performance issues,\nensuring the reliability and stability of the projects.\nThe DST unit's expertise in distributed systems testing enables IFT projects to deliver scalable and resilient solutions that can withstand the demands of real-world decentralised applications."),(0,r.kt)("h2",{id:"quality-assurance-qa"},"Quality Assurance (QA)"),(0,r.kt)("p",null,"The QA Service Unit is dedicated to supporting IFT projects through the development and execution of comprehensive test plans.\nPrimary responsibilities include 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We("div",{ref:v,...ws(h),className:Qe(h.className,m.className,lu.root,lu[t],a&&lu.disabled,n&&lu.withIcon,"outlined"===p?lu.outlined:lu.underlined),children:[e&&Ge(Vs,{htmlFor:T,className:lu.label,variant:"label2",component:"label",children:e}),We("div",{className:lu.inputContainer,children:[Ge("input",{id:T,ref:g,value:b.value,placeholder:u,onChange:b.onChange,disabled:a,onFocus:()=>x(!0),...f,className:Qe(f.className,lu.input,o&&lu.error)}),n&&b.value?Ge("span",{className:lu.icon,onClick:()=>b.setValue(""),children:Ge(Ps,{color:"primary"})}):n&&!b.value?Ge("span",{className:lu.icon,children:Ge(Fs,{color:"primary"})}):null]}),Ge(au,{id:"autocomplete",children:Ge(ru,{handleRef:v,open:C,onClose:()=>x(!1),size:t,...ys(h),children:S.map(((e,n)=>Ge(Gs,{size:t,tabIndex:0,label:We(qe,{children:[e[1],Ge("span",{className:lu.dropdownItemPlaceholder,children:e[2]})]}),onClick:()=>E(e[0]),onKeyDown:t=>"Enter"===t.key&&E(e[0])},n)))})})]})};su.classes=lu;const uu={root:"lsd-badge",label:"lsd-badge__label",outlined:"lsd-badge--outlined",filled:"lsd-badge--filled",disabled:"lsd-badge--disabled",small:"lsd-badge--small",large:"lsd-badge--large"},cu=({variant:e="outlined",disabled:t,size:n="large",icon:r,iconDirection:o="left",children:a,...i})=>{const l=bs(i);return We("div",{"aria-label":a,...ws(i),className:Qe(i.className,l.className,uu.root,uu[e],t&&uu.disabled,uu[n]),children:["left"===o&&r,Ge(Vs,{component:"span",variant:"small"===n?"label2":"label1",className:uu.label,children:a}),"right"===o&&r]})};cu.classes=uu;const du={root:"lsd-breadcrumb-item",outlined:"lsd-breadcrumb-item--outlined",itemLink:"lsd-breadcrumb-item__link",large:"lsd-breadcrumb-item--large",small:"lsd-breadcrumb-item--small"},fu=({size:e="large",label:t,link:n,linkComponent:r=(e=>Ge("a",{...e,children:e.children})),outlined:o,selected:a,ellipsisRef:i,onClick:l,className:s,...u})=>{const c=bs(u);return Ge("li",{...ws(u),className:Qe(c.className,du.root,du[e],s),"aria-selected":a?"true":"false",onClick:l,ref:i,children:Ge(r,{href:n,className:Qe(du.itemLink,o&&du.outlined),children:Ge(Vs,{color:"primary",component:"span",variant:"large"===e?"label1":"label2",children:t})})})};fu.classes=du;const pu={root:"lsd-breadcrumb",list:"lsd-breadcrumb__list",listBox:"lsd-breadcrumb__dropdown-menu",open:"lsd-breadcrumb--open",disabled:"lsd-breadcrumb--disabled"},hu=({size:e="large",disabled:t=!1,ellipsis:n=!1,maxItems:o,value:a=[],onChange:i,options:l=[],...s})=>{const u=bs(s),c=r.useRef(null),[d,f]=r.useState(!1);o=Math.max(2,Math.min(o||2,l.length));const[p,...h]=l,[m,g]=n?[h.slice(0,h.length-o+1),h.slice(h.length-o+1)]:[[],h],v=t=>t.map(((t,n)=>Ge(fu,{outlined:n===g.length-1&&t!==p,label:t.value,link:t.link,linkComponent:null==t?void 0:t.linkComponent,size:e},n)));return 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mu=r.createContext(null),gu={root:"lsd-button",disabled:"lsd-button--disabled",large:"lsd-button--large",medium:"lsd-button--medium",small:"lsd-button--small",withIcon:"lsd-button--with-icon",outlined:"lsd-button--outlined",filled:"lsd-button--filled",text:"lsd-button__text",icon:"lsd-button__icon"},vu=({size:e,variant:t,disabled:n,icon:o,children:a,...i})=>{const l=r.useContext(mu),s=bs(i),u=bs(l||{}),c=s.className||u.className,d=e??(null==l?void 0:l.size)??"medium",f=t??(null==l?void 0:l.variant)??"outlined",p=n??(null==l?void 0:l.disabled)??!1;return Ge(qe,{children:We("button",{...ws(i),className:Qe(c,i.className,gu.root,gu[d],gu[f],p&&gu.disabled,o&&gu.withIcon),children:[Ge(Vs,{component:"span",className:gu.text,variant:"small"===d?"label2":"label1",children:a}),o&&Ge("span",{className:gu.icon,children:o})]})})};vu.classes=gu;const bu={root:"lsd-card",small:"lsd-card--small",medium:"lsd-card--medium",large:"lsd-card--large"},yu=r.createContext(null),wu=({size:e="large",children:t,...n})=>{const r=bs(n);return Ge(yu.Provider,{value:{size:e},children:Ge("div",{...ws(n),className:Qe(r.className,bu.root,bu[e]),children:t})})};wu.classes=bu;const xu={root:"lsd-card-body"},_u=({children:e,...t})=>{const n=bs(t);return Ge("div",{...ws(t),className:Qe(n.className,t.className,xu.root),children:e})};_u.classes=xu;const ku={root:"lsd-card-header",title:"lsd-card-header__title",small:"lsd-card-header--small",medium:"lsd-card-header--medium",large:"lsd-card-header--large"},Eu=({size:e="large",children:t,...n})=>{const o=bs(n),a=r.useContext(yu),i=(null==a?void 0:a.size)??e;return Ge("div",{...ws(n),className:Qe(o.className,n.className,ku.root,ku[i]),children:Ge(Vs,{className:ku.title,component:"div",variant:"large"===i?"label1":"label2",children:t})})};Eu.classes=ku;const 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We("div",{ref:v,...ws(m),className:Qe(g.className,m.className,Ru.root,Ru[t],n&&Ru.error,o&&Ru.disabled,y&&Ru.open,"outlined"===d?Ru.outlined:Ru.underlined),children:[e&&Ge(Vs,{htmlFor:S,className:Ru.label,variant:"label2",component:"label",children:e}),Ge("div",{className:Ru.buttonContainer,children:We("button",{id:S,className:Qe(Ru.trigger),onClick:()=>{o||E(!y)},children:[Ge(Vs,{color:"primary",component:"label",variant:"large"===t?"label1":"label2",className:Ru.optionLabel,children:k.length>0?k.map((e=>e.name)).join(", 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Ge(qe,{children:Ge("div",{...ws(n),className:Qe(r.className,n.className,Uu.root,e&&"parentheses"===e?Uu.parentheses:Uu.indentedInline),children:Ge(Vs,{color:"primary",component:"label",variant:"label1",children:t})})})};Hu.classes=Uu;const Vu=r.createContext(null),qu={root:"lsd-radio-button",input:"lsd-radio-button__input",label:"lsd-radio-button__label",disabled:"lsd-radio-button--disabled",large:"lsd-radio-button--large",medium:"lsd-radio-button--medium",small:"lsd-radio-button--small"},Gu=({size:e="large",onChange:t,checked:n,defaultChecked:o,disabled:a=!1,value:i,name:l,inputProps:s={},children:u,...c})=>{const d=bs(c),f=r.useRef(null),p=r.useContext(Vu),h=(null==p?void 0:p.size)??e,m=(null==p?void 0:p.name)??l??"",g=p?p.value===i:n,v=Ye({value:g,defaultValue:o??!1,onChange:t,ref:f});return We(Vs,{color:"primary",variant:"large"===h?"label1":"label2",component:"label","aria-disabled":a?"true":"false",...ws(c),className:Qe(d.className,c.className,qu.root,qu[h],a&&qu.disabled),children:[Ge("input",{ref:f,name:m,value:i,type:"radio",checked:v.value,onChange:e=>{p?p.setActiveRadioButton(e.target.value):v.onChange(e)},defaultChecked:o,className:Qe(s.className,qu.input),...s}),v.value?Ge($s,{color:"primary",focusable:!1}):Ge(zs,{color:"primary",focusable:!1}),Ge("span",{className:qu.label,children:u})]})};Gu.classes=qu;const Wu={root:"lsd-radio-button-group",label:"lsd-radio-button-group__label"},Zu=({size:e="large",label:t,value:n,name:o,onChange:a,children:i,...l})=>{const s=bs(l),u=r.useRef(null),[c,d]=r.useState(n);return r.useEffect((()=>d(n)),[n]),Ge(Vu.Provider,{value:{value:c,setActiveRadioButton:e=>{a?a(e):d(e)},name:o,size:e},children:We("div",{ref:u,...ws(l),className:Qe(s.className,l.className,Wu.root),children:[Ge(Vs,{component:"span",variant:"small"===e?"label2":"label1",className:Wu.label,children:t&&t}),i]})})};Zu.classes=Wu;const Qu=r.createContext(null),Yu={root:"lsd-tab-item",text:"lsd-tab-item--text",icon:"lsd-tab-item--icon",disabled:"lsd-tab-item--disabled",selected:"lsd-tab-item--selected",small:"lsd-tab-item--small",medium:"lsd-tab-item--medium",large:"lsd-tab-item--large",withIcon:"lsd-tab-item--with-icon"},Xu=({name:e,size:t="large",selected:n=!1,inactive:o=!1,icon:a,children:i,...l})=>{const s=bs(l),u=r.useContext(Qu),c=(null==u?void 0:u.size)??t,d=u?u.activeTab===e:n;return We("button",{...ws(l),className:Qe(s.className,l.className,Yu.root,Yu[c],d&&Yu.selected,l.disabled&&Yu.disabled,!!a&&Yu.withIcon),onClick:t=>{l.onClick&&l.onClick(t),o||(null==u?void 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a.test(e)&&(t=(P=a.exec(e))[1],(a=p).test(t)&&(s=w,u=x,(a=y).test(e=t)?e+="e":s.test(e)?(o=b,e=e.replace(o,"")):u.test(e)&&(e+="e")));return(o=_).test(e)&&(e=(t=(P=o.exec(e))[1])+"i"),(o=k).test(e)&&(t=(P=o.exec(e))[1],n=P[2],(o=c).test(t)&&(e=t+i[n])),(o=E).test(e)&&(t=(P=o.exec(e))[1],n=P[2],(o=c).test(t)&&(e=t+l[n])),a=C,(o=S).test(e)?(t=(P=o.exec(e))[1],(o=d).test(t)&&(e=t)):a.test(e)&&(t=(P=a.exec(e))[1]+P[2],(a=d).test(t)&&(e=t)),(o=T).test(e)&&(t=(P=o.exec(e))[1],a=f,s=D,((o=d).test(t)||a.test(t)&&!s.test(t))&&(e=t)),a=d,(o=O).test(e)&&a.test(e)&&(o=b,e=e.replace(o,"")),"y"==r&&(e=r.toLowerCase()+e.substr(1)),e},function(e){return e.update(P)}),N.Pipeline.registerFunction(N.stemmer,"stemmer"),N.generateStopWordFilter=function(e){var t=e.reduce((function(e,t){return e[t]=t,e}),{});return function(e){if(e&&t[e.toString()]!==e.toString())return e}},N.stopWordFilter=N.generateStopWordFilter(["a","able","about","across","after","all","almost","also","am","among","an","and","any","are","as","at","be","because","been","but","by","can","cannot","could","dear","did","do","does","either","else","ever","every","for","from","get","got","had","has","have","he","her","hers","him","his","how","however","i","if","in","into","is","it","its","just","least","let","like","likely","may","me","might","most","must","my","neither","no","nor","not","of","off","often","on","only","or","other","our","own","rather","said","say","says","she","should","since","so","some","than","that","the","their","them","then","there","these","they","this","tis","to","too","twas","us","wants","was","we","were","what","when","where","which","while","who","whom","why","will","with","would","yet","you","your"]),N.Pipeline.registerFunction(N.stopWordFilter,"stopWordFilter"),N.trimmer=function(e){return e.update((function(e){return e.replace(/^\W+/,"").replace(/\W+$/,"")}))},N.Pipeline.registerFunction(N.trimmer,"trimmer"),N.TokenSet=function(){this.final=!1,this.edges={},this.id=N.TokenSet._nextId,N.TokenSet._nextId+=1},N.TokenSet._nextId=1,N.TokenSet.fromArray=function(e){for(var t=new N.TokenSet.Builder,n=0,r=e.length;n<r;n++)t.insert(e[n]);return t.finish(),t.root},N.TokenSet.fromClause=function(e){return"editDistance"in e?N.TokenSet.fromFuzzyString(e.term,e.editDistance):N.TokenSet.fromString(e.term)},N.TokenSet.fromFuzzyString=function(e,t){for(var n=new N.TokenSet,r=[{node:n,editsRemaining:t,str:e}];r.length;){var o=r.pop();if(o.str.length>0){var a,i=o.str.charAt(0);i in o.node.edges?a=o.node.edges[i]:(a=new N.TokenSet,o.node.edges[i]=a),1==o.str.length&&(a.final=!0),r.push({node:a,editsRemaining:o.editsRemaining,str:o.str.slice(1)})}if(0!=o.editsRemaining){if("*"in o.node.edges)var l=o.node.edges["*"];else{l=new N.TokenSet;o.node.edges["*"]=l}if(0==o.str.length&&(l.final=!0),r.push({node:l,editsRemaining:o.editsRemaining-1,str:o.str}),o.str.length>1&&r.push({node:o.node,editsRemaining:o.editsRemaining-1,str:o.str.slice(1)}),1==o.str.length&&(o.node.final=!0),o.str.length>=1){if("*"in o.node.edges)var s=o.node.edges["*"];else{s=new N.TokenSet;o.node.edges["*"]=s}1==o.str.length&&(s.final=!0),r.push({node:s,editsRemaining:o.editsRemaining-1,str:o.str.slice(1)})}if(o.str.length>1){var u,c=o.str.charAt(0),d=o.str.charAt(1);d in o.node.edges?u=o.node.edges[d]:(u=new N.TokenSet,o.node.edges[d]=u),1==o.str.length&&(u.final=!0),r.push({node:u,editsRemaining:o.editsRemaining-1,str:c+o.str.slice(2)})}}}return n},N.TokenSet.fromString=function(e){for(var t=new N.TokenSet,n=t,r=0,o=e.length;r<o;r++){var a=e[r],i=r==o-1;if("*"==a)t.edges[a]=t,t.final=i;else{var l=new N.TokenSet;l.final=i,t.edges[a]=l,t=l}}return n},N.TokenSet.prototype.toArray=function(){for(var e=[],t=[{prefix:"",node:this}];t.length;){var n=t.pop(),r=Object.keys(n.node.edges),o=r.length;n.node.final&&(n.prefix.charAt(0),e.push(n.prefix));for(var a=0;a<o;a++){var i=r[a];t.push({prefix:n.prefix.concat(i),node:n.node.edges[i]})}}return e},N.TokenSet.prototype.toString=function(){if(this._str)return this._str;for(var e=this.final?"1":"0",t=Object.keys(this.edges).sort(),n=t.length,r=0;r<n;r++){var o=t[r];e=e+o+this.edges[o].id}return e},N.TokenSet.prototype.intersect=function(e){for(var t=new N.TokenSet,n=void 0,r=[{qNode:e,output:t,node:this}];r.length;){n=r.pop();for(var o=Object.keys(n.qNode.edges),a=o.length,i=Object.keys(n.node.edges),l=i.length,s=0;s<a;s++)for(var u=o[s],c=0;c<l;c++){var d=i[c];if(d==u||"*"==u){var f=n.node.edges[d],p=n.qNode.edges[u],h=f.final&&p.final,m=void 0;d in n.output.edges?(m=n.output.edges[d]).final=m.final||h:((m=new N.TokenSet).final=h,n.output.edges[d]=m),r.push({qNode:p,output:m,node:f})}}}return t},N.TokenSet.Builder=function(){this.previousWord="",this.root=new N.TokenSet,this.uncheckedNodes=[],this.minimizedNodes={}},N.TokenSet.Builder.prototype.insert=function(e){var t,n=0;if(e<this.previousWord)throw new Error("Out of order word insertion");for(var r=0;r<e.length&&r<this.previousWord.length&&e[r]==this.previousWord[r];r++)n++;this.minimize(n),t=0==this.uncheckedNodes.length?this.root:this.uncheckedNodes[this.uncheckedNodes.length-1].child;for(r=n;r<e.length;r++){var o=new N.TokenSet,a=e[r];t.edges[a]=o,this.uncheckedNodes.push({parent:t,char:a,child:o}),t=o}t.final=!0,this.previousWord=e},N.TokenSet.Builder.prototype.finish=function(){this.minimize(0)},N.TokenSet.Builder.prototype.minimize=function(e){for(var t=this.uncheckedNodes.length-1;t>=e;t--){var n=this.uncheckedNodes[t],r=n.child.toString();r in this.minimizedNodes?n.parent.edges[n.char]=this.minimizedNodes[r]:(n.child._str=r,this.minimizedNodes[r]=n.child),this.uncheckedNodes.pop()}},N.Index=function(e){this.invertedIndex=e.invertedIndex,this.fieldVectors=e.fieldVectors,this.tokenSet=e.tokenSet,this.fields=e.fields,this.pipeline=e.pipeline},N.Index.prototype.search=function(e){return this.query((function(t){new N.QueryParser(e,t).parse()}))},N.Index.prototype.query=function(e){for(var t=new N.Query(this.fields),n=Object.create(null),r=Object.create(null),o=Object.create(null),a=Object.create(null),i=Object.create(null),l=0;l<this.fields.length;l++)r[this.fields[l]]=new N.Vector;e.call(t,t);for(l=0;l<t.clauses.length;l++){var s=t.clauses[l],u=null,c=N.Set.empty;u=s.usePipeline?this.pipeline.runString(s.term,{fields:s.fields}):[s.term];for(var d=0;d<u.length;d++){var f=u[d];s.term=f;var p=N.TokenSet.fromClause(s),h=this.tokenSet.intersect(p).toArray();if(0===h.length&&s.presence===N.Query.presence.REQUIRED){for(var m=0;m<s.fields.length;m++){a[A=s.fields[m]]=N.Set.empty}break}for(var g=0;g<h.length;g++){var v=h[g],b=this.invertedIndex[v],y=b._index;for(m=0;m<s.fields.length;m++){var w=b[A=s.fields[m]],x=Object.keys(w),_=v+"/"+A,k=new N.Set(x);if(s.presence==N.Query.presence.REQUIRED&&(c=c.union(k),void 0===a[A]&&(a[A]=N.Set.complete)),s.presence!=N.Query.presence.PROHIBITED){if(r[A].upsert(y,s.boost,(function(e,t){return e+t})),!o[_]){for(var E=0;E<x.length;E++){var S,C=x[E],T=new N.FieldRef(C,A),O=w[C];void 0===(S=n[T])?n[T]=new N.MatchData(v,A,O):S.add(v,A,O)}o[_]=!0}}else void 0===i[A]&&(i[A]=N.Set.empty),i[A]=i[A].union(k)}}}if(s.presence===N.Query.presence.REQUIRED)for(m=0;m<s.fields.length;m++){a[A=s.fields[m]]=a[A].intersect(c)}}var D=N.Set.complete,P=N.Set.empty;for(l=0;l<this.fields.length;l++){var A;a[A=this.fields[l]]&&(D=D.intersect(a[A])),i[A]&&(P=P.union(i[A]))}var I=Object.keys(n),L=[],R=Object.create(null);if(t.isNegated()){I=Object.keys(this.fieldVectors);for(l=0;l<I.length;l++){T=I[l];var j=N.FieldRef.fromString(T);n[T]=new N.MatchData}}for(l=0;l<I.length;l++){var M=(j=N.FieldRef.fromString(I[l])).docRef;if(D.contains(M)&&!P.contains(M)){var F,B=this.fieldVectors[j],z=r[j.fieldName].similarity(B);if(void 0!==(F=R[M]))F.score+=z,F.matchData.combine(n[j]);else{var $={ref:M,score:z,matchData:n[j]};R[M]=$,L.push($)}}}return L.sort((function(e,t){return t.score-e.score}))},N.Index.prototype.toJSON=function(){var e=Object.keys(this.invertedIndex).sort().map((function(e){return[e,this.invertedIndex[e]]}),this),t=Object.keys(this.fieldVectors).map((function(e){return[e,this.fieldVectors[e].toJSON()]}),this);return{version:N.version,fields:this.fields,fieldVectors:t,invertedIndex:e,pipeline:this.pipeline.toJSON()}},N.Index.load=function(e){var t={},n={},r=e.fieldVectors,o=Object.create(null),a=e.invertedIndex,i=new N.TokenSet.Builder,l=N.Pipeline.load(e.pipeline);e.version!=N.version&&N.utils.warn("Version mismatch when loading serialised index. Current version of lunr '"+N.version+"' does not match serialized index '"+e.version+"'");for(var s=0;s<r.length;s++){var u=(d=r[s])[0],c=d[1];n[u]=new N.Vector(c)}for(s=0;s<a.length;s++){var d,f=(d=a[s])[0],p=d[1];i.insert(f),o[f]=p}return i.finish(),t.fields=e.fields,t.fieldVectors=n,t.invertedIndex=o,t.tokenSet=i.root,t.pipeline=l,new N.Index(t)},N.Builder=function(){this._ref="id",this._fields=Object.create(null),this._documents=Object.create(null),this.invertedIndex=Object.create(null),this.fieldTermFrequencies={},this.fieldLengths={},this.tokenizer=N.tokenizer,this.pipeline=new N.Pipeline,this.searchPipeline=new N.Pipeline,this.documentCount=0,this._b=.75,this._k1=1.2,this.termIndex=0,this.metadataWhitelist=[]},N.Builder.prototype.ref=function(e){this._ref=e},N.Builder.prototype.field=function(e,t){if(/\//.test(e))throw new RangeError("Field '"+e+"' contains illegal character '/'");this._fields[e]=t||{}},N.Builder.prototype.b=function(e){this._b=e<0?0:e>1?1:e},N.Builder.prototype.k1=function(e){this._k1=e},N.Builder.prototype.add=function(e,t){var n=e[this._ref],r=Object.keys(this._fields);this._documents[n]=t||{},this.documentCount+=1;for(var o=0;o<r.length;o++){var a=r[o],i=this._fields[a].extractor,l=i?i(e):e[a],s=this.tokenizer(l,{fields:[a]}),u=this.pipeline.run(s),c=new N.FieldRef(n,a),d=Object.create(null);this.fieldTermFrequencies[c]=d,this.fieldLengths[c]=0,this.fieldLengths[c]+=u.length;for(var f=0;f<u.length;f++){var p=u[f];if(null==d[p]&&(d[p]=0),d[p]+=1,null==this.invertedIndex[p]){var h=Object.create(null);h._index=this.termIndex,this.termIndex+=1;for(var m=0;m<r.length;m++)h[r[m]]=Object.create(null);this.invertedIndex[p]=h}null==this.invertedIndex[p][a][n]&&(this.invertedIndex[p][a][n]=Object.create(null));for(var g=0;g<this.metadataWhitelist.length;g++){var v=this.metadataWhitelist[g],b=p.metadata[v];null==this.invertedIndex[p][a][n][v]&&(this.invertedIndex[p][a][n][v]=[]),this.invertedIndex[p][a][n][v].push(b)}}}},N.Builder.prototype.calculateAverageFieldLengths=function(){for(var e=Object.keys(this.fieldLengths),t=e.length,n={},r={},o=0;o<t;o++){var a=N.FieldRef.fromString(e[o]),i=a.fieldName;r[i]||(r[i]=0),r[i]+=1,n[i]||(n[i]=0),n[i]+=this.fieldLengths[a]}var l=Object.keys(this._fields);for(o=0;o<l.length;o++){var s=l[o];n[s]=n[s]/r[s]}this.averageFieldLength=n},N.Builder.prototype.createFieldVectors=function(){for(var e={},t=Object.keys(this.fieldTermFrequencies),n=t.length,r=Object.create(null),o=0;o<n;o++){for(var a=N.FieldRef.fromString(t[o]),i=a.fieldName,l=this.fieldLengths[a],s=new N.Vector,u=this.fieldTermFrequencies[a],c=Object.keys(u),d=c.length,f=this._fields[i].boost||1,p=this._documents[a.docRef].boost||1,h=0;h<d;h++){var m,g,v,b=c[h],y=u[b],w=this.invertedIndex[b]._index;void 0===r[b]?(m=N.idf(this.invertedIndex[b],this.documentCount),r[b]=m):m=r[b],g=m*((this._k1+1)*y)/(this._k1*(1-this._b+this._b*(l/this.averageFieldLength[i]))+y),g*=f,g*=p,v=Math.round(1e3*g)/1e3,s.insert(w,v)}e[a]=s}this.fieldVectors=e},N.Builder.prototype.createTokenSet=function(){this.tokenSet=N.TokenSet.fromArray(Object.keys(this.invertedIndex).sort())},N.Builder.prototype.build=function(){return this.calculateAverageFieldLengths(),this.createFieldVectors(),this.createTokenSet(),new N.Index({invertedIndex:this.invertedIndex,fieldVectors:this.fieldVectors,tokenSet:this.tokenSet,fields:Object.keys(this._fields),pipeline:this.searchPipeline})},N.Builder.prototype.use=function(e){var t=Array.prototype.slice.call(arguments,1);t.unshift(this),e.apply(this,t)},N.MatchData=function(e,t,n){for(var r=Object.create(null),o=Object.keys(n||{}),a=0;a<o.length;a++){var i=o[a];r[i]=n[i].slice()}this.metadata=Object.create(null),void 0!==e&&(this.metadata[e]=Object.create(null),this.metadata[e][t]=r)},N.MatchData.prototype.combine=function(e){for(var t=Object.keys(e.metadata),n=0;n<t.length;n++){var r=t[n],o=Object.keys(e.metadata[r]);null==this.metadata[r]&&(this.metadata[r]=Object.create(null));for(var a=0;a<o.length;a++){var i=o[a],l=Object.keys(e.metadata[r][i]);null==this.metadata[r][i]&&(this.metadata[r][i]=Object.create(null));for(var s=0;s<l.length;s++){var u=l[s];null==this.metadata[r][i][u]?this.metadata[r][i][u]=e.metadata[r][i][u]:this.metadata[r][i][u]=this.metadata[r][i][u].concat(e.metadata[r][i][u])}}}},N.MatchData.prototype.add=function(e,t,n){if(!(e in this.metadata))return this.metadata[e]=Object.create(null),void(this.metadata[e][t]=n);if(t in this.metadata[e])for(var r=Object.keys(n),o=0;o<r.length;o++){var a=r[o];a in this.metadata[e][t]?this.metadata[e][t][a]=this.metadata[e][t][a].concat(n[a]):this.metadata[e][t][a]=n[a]}else this.metadata[e][t]=n},N.Query=function(e){this.clauses=[],this.allFields=e},N.Query.wildcard=new String("*"),N.Query.wildcard.NONE=0,N.Query.wildcard.LEADING=1,N.Query.wildcard.TRAILING=2,N.Query.presence={OPTIONAL:1,REQUIRED:2,PROHIBITED:3},N.Query.prototype.clause=function(e){return"fields"in e||(e.fields=this.allFields),"boost"in e||(e.boost=1),"usePipeline"in e||(e.usePipeline=!0),"wildcard"in e||(e.wildcard=N.Query.wildcard.NONE),e.wildcard&N.Query.wildcard.LEADING&&e.term.charAt(0)!=N.Query.wildcard&&(e.term="*"+e.term),e.wildcard&N.Query.wildcard.TRAILING&&e.term.slice(-1)!=N.Query.wildcard&&(e.term=e.term+"*"),"presence"in e||(e.presence=N.Query.presence.OPTIONAL),this.clauses.push(e),this},N.Query.prototype.isNegated=function(){for(var e=0;e<this.clauses.length;e++)if(this.clauses[e].presence!=N.Query.presence.PROHIBITED)return!1;return!0},N.Query.prototype.term=function(e,t){if(Array.isArray(e))return e.forEach((function(e){this.term(e,N.utils.clone(t))}),this),this;var n=t||{};return n.term=e.toString(),this.clause(n),this},N.QueryParseError=function(e,t,n){this.name="QueryParseError",this.message=e,this.start=t,this.end=n},N.QueryParseError.prototype=new Error,N.QueryLexer=function(e){this.lexemes=[],this.str=e,this.length=e.length,this.pos=0,this.start=0,this.escapeCharPositions=[]},N.QueryLexer.prototype.run=function(){for(var e=N.QueryLexer.lexText;e;)e=e(this)},N.QueryLexer.prototype.sliceString=function(){for(var e=[],t=this.start,n=this.pos,r=0;r<this.escapeCharPositions.length;r++)n=this.escapeCharPositions[r],e.push(this.str.slice(t,n)),t=n+1;return e.push(this.str.slice(t,this.pos)),this.escapeCharPositions.length=0,e.join("")},N.QueryLexer.prototype.emit=function(e){this.lexemes.push({type:e,str:this.sliceString(),start:this.start,end:this.pos}),this.start=this.pos},N.QueryLexer.prototype.escapeCharacter=function(){this.escapeCharPositions.push(this.pos-1),this.pos+=1},N.QueryLexer.prototype.next=function(){if(this.pos>=this.length)return 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e;this.length<e.length?(t=this,n=e):(t=e,n=this),r=Object.keys(t.elements);for(var a=0;a<r.length;a++){var i=r[a];i in n.elements&&o.push(i)}return new N.Set(o)},N.Set.prototype.union=function(e){return e===N.Set.complete?N.Set.complete:e===N.Set.empty?this:new N.Set(Object.keys(this.elements).concat(Object.keys(e.elements)))},N.idf=function(e,t){var n=0;for(var r in e)"_index"!=r&&(n+=Object.keys(e[r]).length);var o=(t-n+.5)/(n+.5);return Math.log(1+Math.abs(o))},N.Token=function(e,t){this.str=e||"",this.metadata=t||{}},N.Token.prototype.toString=function(){return this.str},N.Token.prototype.update=function(e){return this.str=e(this.str,this.metadata),this},N.Token.prototype.clone=function(e){return e=e||function(e){return e},new N.Token(e(this.str,this.metadata),this.metadata)},N.tokenizer=function(e,t){if(null==e||null==e)return[];if(Array.isArray(e))return e.map((function(e){return new N.Token(N.utils.asString(e).toLowerCase(),N.utils.clone(t))}));for(var n=e.toString().toLowerCase(),r=n.length,o=[],a=0,i=0;a<=r;a++){var l=a-i;if(n.charAt(a).match(N.tokenizer.separator)||a==r){if(l>0){var s=N.utils.clone(t)||{};s.position=[i,l],s.index=o.length,o.push(new N.Token(n.slice(i,a),s))}i=a+1}}return o},N.tokenizer.separator=/[\s\-]+/,N.Pipeline=function(){this._stack=[]},N.Pipeline.registeredFunctions=Object.create(null),N.Pipeline.registerFunction=function(e,t){t in this.registeredFunctions&&N.utils.warn("Overwriting existing registered function: "+t),e.label=t,N.Pipeline.registeredFunctions[e.label]=e},N.Pipeline.warnIfFunctionNotRegistered=function(e){e.label&&e.label in this.registeredFunctions||N.utils.warn("Function is not registered with pipeline. This may cause problems when serialising the index.\n",e)},N.Pipeline.load=function(e){var t=new N.Pipeline;return e.forEach((function(e){var n=N.Pipeline.registeredFunctions[e];if(!n)throw new Error("Cannot load unregistered function: "+e);t.add(n)})),t},N.Pipeline.prototype.add=function(){var e=Array.prototype.slice.call(arguments);e.forEach((function(e){N.Pipeline.warnIfFunctionNotRegistered(e),this._stack.push(e)}),this)},N.Pipeline.prototype.after=function(e,t){N.Pipeline.warnIfFunctionNotRegistered(t);var n=this._stack.indexOf(e);if(-1==n)throw new Error("Cannot find existingFn");n+=1,this._stack.splice(n,0,t)},N.Pipeline.prototype.before=function(e,t){N.Pipeline.warnIfFunctionNotRegistered(t);var n=this._stack.indexOf(e);if(-1==n)throw new Error("Cannot find existingFn");this._stack.splice(n,0,t)},N.Pipeline.prototype.remove=function(e){var t=this._stack.indexOf(e);-1!=t&&this._stack.splice(t,1)},N.Pipeline.prototype.run=function(e){for(var t=this._stack.length,n=0;n<t;n++){for(var r=this._stack[n],o=[],a=0;a<e.length;a++){var i=r(e[a],a,e);if(null!=i&&""!==i)if(Array.isArray(i))for(var l=0;l<i.length;l++)o.push(i[l]);else o.push(i)}e=o}return e},N.Pipeline.prototype.runString=function(e,t){var n=new N.Token(e,t);return this.run([n]).map((function(e){return e.toString()}))},N.Pipeline.prototype.reset=function(){this._stack=[]},N.Pipeline.prototype.toJSON=function(){return this._stack.map((function(e){return N.Pipeline.warnIfFunctionNotRegistered(e),e.label}))},N.Vector=function(e){this._magnitude=0,this.elements=e||[]},N.Vector.prototype.positionForIndex=function(e){if(0==this.elements.length)return 0;for(var t=0,n=this.elements.length/2,r=n-t,o=Math.floor(r/2),a=this.elements[2*o];r>1&&(a<e&&(t=o),a>e&&(n=o),a!=e);)r=n-t,o=t+Math.floor(r/2),a=this.elements[2*o];return a==e||a>e?2*o:a<e?2*(o+1):void 0},N.Vector.prototype.insert=function(e,t){this.upsert(e,t,(function(){throw"duplicate index"}))},N.Vector.prototype.upsert=function(e,t,n){this._magnitude=0;var r=this.positionForIndex(e);this.elements[r]==e?this.elements[r+1]=n(this.elements[r+1],t):this.elements.splice(r,0,e,t)},N.Vector.prototype.magnitude=function(){if(this._magnitude)return this._magnitude;for(var e=0,t=this.elements.length,n=1;n<t;n+=2){var r=this.elements[n];e+=r*r}return this._magnitude=Math.sqrt(e)},N.Vector.prototype.dot=function(e){for(var t=0,n=this.elements,r=e.elements,o=n.length,a=r.length,i=0,l=0,s=0,u=0;s<o&&u<a;)(i=n[s])<(l=r[u])?s+=2:i>l?u+=2:i==l&&(t+=n[s+1]*r[u+1],s+=2,u+=2);return t},N.Vector.prototype.similarity=function(e){return this.dot(e)/this.magnitude()||0},N.Vector.prototype.toArray=function(){for(var e=new Array(this.elements.length/2),t=1,n=0;t<this.elements.length;t+=2,n++)e[n]=this.elements[t];return e},N.Vector.prototype.toJSON=function(){return this.elements},N.stemmer=(i={ational:"ate",tional:"tion",enci:"ence",anci:"ance",izer:"ize",bli:"ble",alli:"al",entli:"ent",eli:"e",ousli:"ous",ization:"ize",ation:"ate",ator:"ate",alism:"al",iveness:"ive",fulness:"ful",ousness:"ous",aliti:"al",iviti:"ive",biliti:"ble",logi:"log"},l={icate:"ic",ative:"",alize:"al",iciti:"ic",ical:"ic",ful:"",ness:""},s="[aeiouy]",u="[^aeiou][^aeiouy]*",c=new RegExp("^([^aeiou][^aeiouy]*)?[aeiouy][aeiou]*[^aeiou][^aeiouy]*"),d=new RegExp("^([^aeiou][^aeiouy]*)?[aeiouy][aeiou]*[^aeiou][^aeiouy]*[aeiouy][aeiou]*[^aeiou][^aeiouy]*"),f=new RegExp("^([^aeiou][^aeiouy]*)?[aeiouy][aeiou]*[^aeiou][^aeiouy]*([aeiouy][aeiou]*)?$"),p=new RegExp("^([^aeiou][^aeiouy]*)?[aeiouy]"),h=/^(.+?)(ss|i)es$/,m=/^(.+?)([^s])s$/,g=/^(.+?)eed$/,v=/^(.+?)(ed|ing)$/,b=/.$/,y=/(at|bl|iz)$/,w=new RegExp("([^aeiouylsz])\\1$"),x=new RegExp("^"+u+s+"[^aeiouwxy]$"),_=/^(.+?[^aeiou])y$/,k=/^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/,E=/^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/,S=/^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/,C=/^(.+?)(s|t)(ion)$/,T=/^(.+?)e$/,O=/ll$/,D=new RegExp("^"+u+s+"[^aeiouwxy]$"),P=function(e){var t,n,r,o,a,s,u;if(e.length<3)return e;if("y"==(r=e.substr(0,1))&&(e=r.toUpperCase()+e.substr(1)),a=m,(o=h).test(e)?e=e.replace(o,"$1$2"):a.test(e)&&(e=e.replace(a,"$1$2")),a=v,(o=g).test(e)){var P=o.exec(e);(o=c).test(P[1])&&(o=b,e=e.replace(o,""))}else a.test(e)&&(t=(P=a.exec(e))[1],(a=p).test(t)&&(s=w,u=x,(a=y).test(e=t)?e+="e":s.test(e)?(o=b,e=e.replace(o,"")):u.test(e)&&(e+="e")));return(o=_).test(e)&&(e=(t=(P=o.exec(e))[1])+"i"),(o=k).test(e)&&(t=(P=o.exec(e))[1],n=P[2],(o=c).test(t)&&(e=t+i[n])),(o=E).test(e)&&(t=(P=o.exec(e))[1],n=P[2],(o=c).test(t)&&(e=t+l[n])),a=C,(o=S).test(e)?(t=(P=o.exec(e))[1],(o=d).test(t)&&(e=t)):a.test(e)&&(t=(P=a.exec(e))[1]+P[2],(a=d).test(t)&&(e=t)),(o=T).test(e)&&(t=(P=o.exec(e))[1],a=f,s=D,((o=d).test(t)||a.test(t)&&!s.test(t))&&(e=t)),a=d,(o=O).test(e)&&a.test(e)&&(o=b,e=e.replace(o,"")),"y"==r&&(e=r.toLowerCase()+e.substr(1)),e},function(e){return e.update(P)}),N.Pipeline.registerFunction(N.stemmer,"stemmer"),N.generateStopWordFilter=function(e){var t=e.reduce((function(e,t){return e[t]=t,e}),{});return function(e){if(e&&t[e.toString()]!==e.toString())return e}},N.stopWordFilter=N.generateStopWordFilter(["a","able","about","across","after","all","almost","also","am","among","an","and","any","are","as","at","be","because","been","but","by","can","cannot","could","dear","did","do","does","either","else","ever","every","for","from","get","got","had","has","have","he","her","hers","him","his","how","however","i","if","in","into","is","it","its","just","least","let","like","likely","may","me","might","most","must","my","neither","no","nor","not","of","off","often","on","only","or","other","our","own","rather","said","say","says","she","should","since","so","some","than","that","the","their","them","then","there","these","they","this","tis","to","too","twas","us","wants","was","we","were","what","when","where","which","while","who","whom","why","will","with","would","yet","you","your"]),N.Pipeline.registerFunction(N.stopWordFilter,"stopWordFilter"),N.trimmer=function(e){return e.update((function(e){return e.replace(/^\W+/,"").replace(/\W+$/,"")}))},N.Pipeline.registerFunction(N.trimmer,"trimmer"),N.TokenSet=function(){this.final=!1,this.edges={},this.id=N.TokenSet._nextId,N.TokenSet._nextId+=1},N.TokenSet._nextId=1,N.TokenSet.fromArray=function(e){for(var t=new N.TokenSet.Builder,n=0,r=e.length;n<r;n++)t.insert(e[n]);return t.finish(),t.root},N.TokenSet.fromClause=function(e){return"editDistance"in e?N.TokenSet.fromFuzzyString(e.term,e.editDistance):N.TokenSet.fromString(e.term)},N.TokenSet.fromFuzzyString=function(e,t){for(var n=new N.TokenSet,r=[{node:n,editsRemaining:t,str:e}];r.length;){var o=r.pop();if(o.str.length>0){var a,i=o.str.charAt(0);i in o.node.edges?a=o.node.edges[i]:(a=new N.TokenSet,o.node.edges[i]=a),1==o.str.length&&(a.final=!0),r.push({node:a,editsRemaining:o.editsRemaining,str:o.str.slice(1)})}if(0!=o.editsRemaining){if("*"in o.node.edges)var l=o.node.edges["*"];else{l=new N.TokenSet;o.node.edges["*"]=l}if(0==o.str.length&&(l.final=!0),r.push({node:l,editsRemaining:o.editsRemaining-1,str:o.str}),o.str.length>1&&r.push({node:o.node,editsRemaining:o.editsRemaining-1,str:o.str.slice(1)}),1==o.str.length&&(o.node.final=!0),o.str.length>=1){if("*"in o.node.edges)var s=o.node.edges["*"];else{s=new N.TokenSet;o.node.edges["*"]=s}1==o.str.length&&(s.final=!0),r.push({node:s,editsRemaining:o.editsRemaining-1,str:o.str.slice(1)})}if(o.str.length>1){var u,c=o.str.charAt(0),d=o.str.charAt(1);d in o.node.edges?u=o.node.edges[d]:(u=new N.TokenSet,o.node.edges[d]=u),1==o.str.length&&(u.final=!0),r.push({node:u,editsRemaining:o.editsRemaining-1,str:c+o.str.slice(2)})}}}return n},N.TokenSet.fromString=function(e){for(var t=new N.TokenSet,n=t,r=0,o=e.length;r<o;r++){var a=e[r],i=r==o-1;if("*"==a)t.edges[a]=t,t.final=i;else{var l=new N.TokenSet;l.final=i,t.edges[a]=l,t=l}}return n},N.TokenSet.prototype.toArray=function(){for(var e=[],t=[{prefix:"",node:this}];t.length;){var n=t.pop(),r=Object.keys(n.node.edges),o=r.length;n.node.final&&(n.prefix.charAt(0),e.push(n.prefix));for(var a=0;a<o;a++){var i=r[a];t.push({prefix:n.prefix.concat(i),node:n.node.edges[i]})}}return e},N.TokenSet.prototype.toString=function(){if(this._str)return this._str;for(var e=this.final?"1":"0",t=Object.keys(this.edges).sort(),n=t.length,r=0;r<n;r++){var o=t[r];e=e+o+this.edges[o].id}return e},N.TokenSet.prototype.intersect=function(e){for(var t=new N.TokenSet,n=void 0,r=[{qNode:e,output:t,node:this}];r.length;){n=r.pop();for(var o=Object.keys(n.qNode.edges),a=o.length,i=Object.keys(n.node.edges),l=i.length,s=0;s<a;s++)for(var u=o[s],c=0;c<l;c++){var d=i[c];if(d==u||"*"==u){var f=n.node.edges[d],p=n.qNode.edges[u],h=f.final&&p.final,m=void 0;d in n.output.edges?(m=n.output.edges[d]).final=m.final||h:((m=new N.TokenSet).final=h,n.output.edges[d]=m),r.push({qNode:p,output:m,node:f})}}}return t},N.TokenSet.Builder=function(){this.previousWord="",this.root=new N.TokenSet,this.uncheckedNodes=[],this.minimizedNodes={}},N.TokenSet.Builder.prototype.insert=function(e){var t,n=0;if(e<this.previousWord)throw new Error("Out of order word insertion");for(var r=0;r<e.length&&r<this.previousWord.length&&e[r]==this.previousWord[r];r++)n++;this.minimize(n),t=0==this.uncheckedNodes.length?this.root:this.uncheckedNodes[this.uncheckedNodes.length-1].child;for(r=n;r<e.length;r++){var o=new N.TokenSet,a=e[r];t.edges[a]=o,this.uncheckedNodes.push({parent:t,char:a,child:o}),t=o}t.final=!0,this.previousWord=e},N.TokenSet.Builder.prototype.finish=function(){this.minimize(0)},N.TokenSet.Builder.prototype.minimize=function(e){for(var t=this.uncheckedNodes.length-1;t>=e;t--){var n=this.uncheckedNodes[t],r=n.child.toString();r in this.minimizedNodes?n.parent.edges[n.char]=this.minimizedNodes[r]:(n.child._str=r,this.minimizedNodes[r]=n.child),this.uncheckedNodes.pop()}},N.Index=function(e){this.invertedIndex=e.invertedIndex,this.fieldVectors=e.fieldVectors,this.tokenSet=e.tokenSet,this.fields=e.fields,this.pipeline=e.pipeline},N.Index.prototype.search=function(e){return this.query((function(t){new N.QueryParser(e,t).parse()}))},N.Index.prototype.query=function(e){for(var t=new N.Query(this.fields),n=Object.create(null),r=Object.create(null),o=Object.create(null),a=Object.create(null),i=Object.create(null),l=0;l<this.fields.length;l++)r[this.fields[l]]=new N.Vector;e.call(t,t);for(l=0;l<t.clauses.length;l++){var s=t.clauses[l],u=null,c=N.Set.empty;u=s.usePipeline?this.pipeline.runString(s.term,{fields:s.fields}):[s.term];for(var d=0;d<u.length;d++){var f=u[d];s.term=f;var p=N.TokenSet.fromClause(s),h=this.tokenSet.intersect(p).toArray();if(0===h.length&&s.presence===N.Query.presence.REQUIRED){for(var m=0;m<s.fields.length;m++){a[A=s.fields[m]]=N.Set.empty}break}for(var g=0;g<h.length;g++){var v=h[g],b=this.invertedIndex[v],y=b._index;for(m=0;m<s.fields.length;m++){var w=b[A=s.fields[m]],x=Object.keys(w),_=v+"/"+A,k=new N.Set(x);if(s.presence==N.Query.presence.REQUIRED&&(c=c.union(k),void 0===a[A]&&(a[A]=N.Set.complete)),s.presence!=N.Query.presence.PROHIBITED){if(r[A].upsert(y,s.boost,(function(e,t){return e+t})),!o[_]){for(var E=0;E<x.length;E++){var S,C=x[E],T=new N.FieldRef(C,A),O=w[C];void 0===(S=n[T])?n[T]=new N.MatchData(v,A,O):S.add(v,A,O)}o[_]=!0}}else void 0===i[A]&&(i[A]=N.Set.empty),i[A]=i[A].union(k)}}}if(s.presence===N.Query.presence.REQUIRED)for(m=0;m<s.fields.length;m++){a[A=s.fields[m]]=a[A].intersect(c)}}var D=N.Set.complete,P=N.Set.empty;for(l=0;l<this.fields.length;l++){var A;a[A=this.fields[l]]&&(D=D.intersect(a[A])),i[A]&&(P=P.union(i[A]))}var I=Object.keys(n),L=[],R=Object.create(null);if(t.isNegated()){I=Object.keys(this.fieldVectors);for(l=0;l<I.length;l++){T=I[l];var j=N.FieldRef.fromString(T);n[T]=new N.MatchData}}for(l=0;l<I.length;l++){var M=(j=N.FieldRef.fromString(I[l])).docRef;if(D.contains(M)&&!P.contains(M)){var F,B=this.fieldVectors[j],z=r[j.fieldName].similarity(B);if(void 0!==(F=R[M]))F.score+=z,F.matchData.combine(n[j]);else{var $={ref:M,score:z,matchData:n[j]};R[M]=$,L.push($)}}}return L.sort((function(e,t){return t.score-e.score}))},N.Index.prototype.toJSON=function(){var e=Object.keys(this.invertedIndex).sort().map((function(e){return[e,this.invertedIndex[e]]}),this),t=Object.keys(this.fieldVectors).map((function(e){return[e,this.fieldVectors[e].toJSON()]}),this);return{version:N.version,fields:this.fields,fieldVectors:t,invertedIndex:e,pipeline:this.pipeline.toJSON()}},N.Index.load=function(e){var t={},n={},r=e.fieldVectors,o=Object.create(null),a=e.invertedIndex,i=new N.TokenSet.Builder,l=N.Pipeline.load(e.pipeline);e.version!=N.version&&N.utils.warn("Version mismatch when loading serialised index. Current version of lunr '"+N.version+"' does not match serialized index '"+e.version+"'");for(var s=0;s<r.length;s++){var u=(d=r[s])[0],c=d[1];n[u]=new N.Vector(c)}for(s=0;s<a.length;s++){var d,f=(d=a[s])[0],p=d[1];i.insert(f),o[f]=p}return i.finish(),t.fields=e.fields,t.fieldVectors=n,t.invertedIndex=o,t.tokenSet=i.root,t.pipeline=l,new N.Index(t)},N.Builder=function(){this._ref="id",this._fields=Object.create(null),this._documents=Object.create(null),this.invertedIndex=Object.create(null),this.fieldTermFrequencies={},this.fieldLengths={},this.tokenizer=N.tokenizer,this.pipeline=new N.Pipeline,this.searchPipeline=new N.Pipeline,this.documentCount=0,this._b=.75,this._k1=1.2,this.termIndex=0,this.metadataWhitelist=[]},N.Builder.prototype.ref=function(e){this._ref=e},N.Builder.prototype.field=function(e,t){if(/\//.test(e))throw new RangeError("Field '"+e+"' contains illegal character 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t=e.consumeLexeme();if(null!=t){switch(t.str){case"-":e.currentClause.presence=N.Query.presence.PROHIBITED;break;case"+":e.currentClause.presence=N.Query.presence.REQUIRED;break;default:var n="unrecognised presence operator'"+t.str+"'";throw new N.QueryParseError(n,t.start,t.end)}var r=e.peekLexeme();if(null==r){n="expecting term or field, found nothing";throw new N.QueryParseError(n,t.start,t.end)}switch(r.type){case N.QueryLexer.FIELD:return N.QueryParser.parseField;case N.QueryLexer.TERM:return N.QueryParser.parseTerm;default:n="expecting term or field, found '"+r.type+"'";throw new N.QueryParseError(n,r.start,r.end)}}},N.QueryParser.parseField=function(e){var t=e.consumeLexeme();if(null!=t){if(-1==e.query.allFields.indexOf(t.str)){var n=e.query.allFields.map((function(e){return"'"+e+"'"})).join(", "),r="unrecognised field '"+t.str+"', possible fields: "+n;throw new N.QueryParseError(r,t.start,t.end)}e.currentClause.fields=[t.str];var o=e.peekLexeme();if(null==o){r="expecting term, 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index 6ede12c7..aab540fa 100644 --- a/deepresearch/index.html +++ b/deepresearch/index.html @@ -3,15 +3,15 @@ <head> <meta charset="UTF-8"> <meta name="generator" content="Docusaurus v2.4.1"> -<title data-rh="true">Deep Research | Vac Research +Deep Research | Vac Research - - + +
@@ -19,18 +19,18 @@ .lsd-dropdown--error ) .lsd-dropdown__trigger:hover .lsd-dropdown__option-label,.lsd-dropdown:not(.lsd-dropdown--disabled):not( .lsd-dropdown--error - ) .lsd-dropdown__trigger:focus .lsd-dropdown__option-label{-webkit-text-decoration:underline;text-decoration:underline;}.lsd-dropdown__label{display:block;}.lsd-dropdown__button-container{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;}.lsd-dropdown__trigger{width:100%;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;border:none;cursor:pointer;background:none;}.lsd-dropdown__trigger:focus{outline:none;}.lsd-dropdown__option-label{cursor:inherit;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;}.lsd-dropdown__icons{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;gap:8px;}.lsd-dropdown__icon{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.lsd-dropdown__supporting-text{margin:6px 14px;}.lsd-dropdown--error .lsd-dropdown__option-label{-webkit-text-decoration:line-through;text-decoration:line-through;}.lsd-dropdown--disabled{opacity:0.34;cursor:initial;}.lsd-dropdown--large{width:208px;}.lsd-dropdown--large.lsd-dropdown--error{width:230px;}.lsd-dropdown--large .lsd-dropdown__label{margin:0 0 6px 18px;}.lsd-dropdown--large .lsd-dropdown__button-container{height:40px;}.lsd-dropdown--large .lsd-dropdown__trigger{padding:10px 0px 10px 18px;}.lsd-dropdown--large .lsd-dropdown__icons{padding:0px 14px;}.lsd-dropdown--medium{width:188px;}.lsd-dropdown--medium.lsd-dropdown--error{width:210px;}.lsd-dropdown--medium .lsd-dropdown__label{margin:0 0 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__button-container{height:32px;}.lsd-dropdown--medium .lsd-dropdown__trigger{padding:6px 0px 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__icons{padding:0px 12px;}.lsd-dropdown--small{width:164px;}.lsd-dropdown--small.lsd-dropdown--error{width:186px;}.lsd-dropdown--small .lsd-dropdown__label{margin:0 0 6px 12px;}.lsd-dropdown--small .lsd-dropdown__button-container{height:28px;}.lsd-dropdown--small .lsd-dropdown__trigger{padding:6px 0px 6px 12px;}.lsd-dropdown--small .lsd-dropdown__icons{padding:0px 10px;}.lsd-dropdown--outlined .lsd-dropdown__button-container{border:1px solid rgb(var(--lsd-border-primary));}.lsd-dropdown--underlined .lsd-dropdown__button-container{border:1px solid transparent;border-bottom:1px solid rgb(var(--lsd-border-primary));}

Vac Deep Research

Vac Deep Research is at the forefront of cutting-edge exploration and innovation within the IFT. + ) .lsd-dropdown__trigger:focus .lsd-dropdown__option-label{-webkit-text-decoration:underline;text-decoration:underline;}.lsd-dropdown__label{display:block;}.lsd-dropdown__button-container{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;}.lsd-dropdown__trigger{width:100%;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;border:none;cursor:pointer;background:none;}.lsd-dropdown__trigger:focus{outline:none;}.lsd-dropdown__option-label{cursor:inherit;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;}.lsd-dropdown__icons{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;gap:8px;}.lsd-dropdown__icon{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.lsd-dropdown__supporting-text{margin:6px 14px;}.lsd-dropdown--error .lsd-dropdown__option-label{-webkit-text-decoration:line-through;text-decoration:line-through;}.lsd-dropdown--disabled{opacity:0.34;cursor:initial;}.lsd-dropdown--large{width:208px;}.lsd-dropdown--large.lsd-dropdown--error{width:230px;}.lsd-dropdown--large .lsd-dropdown__label{margin:0 0 6px 18px;}.lsd-dropdown--large .lsd-dropdown__button-container{height:40px;}.lsd-dropdown--large .lsd-dropdown__trigger{padding:10px 0px 10px 18px;}.lsd-dropdown--large .lsd-dropdown__icons{padding:0px 14px;}.lsd-dropdown--medium{width:188px;}.lsd-dropdown--medium.lsd-dropdown--error{width:210px;}.lsd-dropdown--medium .lsd-dropdown__label{margin:0 0 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__button-container{height:32px;}.lsd-dropdown--medium .lsd-dropdown__trigger{padding:6px 0px 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__icons{padding:0px 12px;}.lsd-dropdown--small{width:164px;}.lsd-dropdown--small.lsd-dropdown--error{width:186px;}.lsd-dropdown--small .lsd-dropdown__label{margin:0 0 6px 12px;}.lsd-dropdown--small .lsd-dropdown__button-container{height:28px;}.lsd-dropdown--small .lsd-dropdown__trigger{padding:6px 0px 6px 12px;}.lsd-dropdown--small .lsd-dropdown__icons{padding:0px 10px;}.lsd-dropdown--outlined .lsd-dropdown__button-container{border:1px solid rgb(var(--lsd-border-primary));}.lsd-dropdown--underlined .lsd-dropdown__button-container{border:1px solid transparent;border-bottom:1px solid rgb(var(--lsd-border-primary));}

Vac Deep Research

Vac Deep Research is at the forefront of exploration and cutting-edge innovation within the IFT. Their work extends beyond scientific publications, actively bridging the gap between theory and practice. The team collaborates with various entities, such as Vac R&D units, incubator projects, and IFT projects, to bring their research findings to fruition. Part of this effort includes identifying opportunities for and spawning new incubator projects, allowing Vac Deep Research to translate their research findings into practical applications within the IFT. -Deep research encompasses several key areas, including zero knowledge (ZK), decentralised privacy-preserving node provider networks, validator privacy, and libp2p gossipsub improvements.

Zero-knowledge Proofs​

In the realm of ZKP, Vac Deep Research has made contributions that have given rise to the incubator project Nescience. +Deep Research encompasses several key areas, including zero knowledge (ZK), decentralised privacy-preserving node provider networks, validator privacy, and libp2p gossipsub improvements.

Zero-Knowledge Proofs​

In the realm of ZKP, Vac Deep Research has made contributions that have given rise to the incubator project Nescience. The team delved into the intricacies of zero-knowledge proofs, exploring their applications and pushing the boundaries of privacy-preserving technologies. By advancing the field of ZK, Vac Deep Research strengthens the foundation for secure and confidential interactions within decentralised networks.

Libp2p Gossipsub Improvements​

Another area of focus for Vac Deep Research is "libp2p gossipsub improvements". The team explores ways to enhance the performance, efficiency, and reliability of the libp2p gossipsub protocol. By conducting in-depth research and proposing improvements, Vac Deep Research aims to optimise information sharing and communication within decentralised networks, -contributing to the overall robustness and scalability of the P2P layers of IFT projects.

Anonymization Networks​

Vac also researches anonymization networks, with the main goal of a libp2p gossipsub anonymization layer with pluggable project specific components.

- - +contributing to the overall robustness and scalability of the P2P layers of IFT projects.

Anonymisation Networks​

Vac also researches anonymisation networks, with the main goal of a libp2p gossipsub anonymisation layer with pluggable project-specific components.

+ + \ No newline at end of file diff --git a/index.html b/index.html index 2cb0c2d9..05318007 100644 --- a/index.html +++ b/index.html @@ -10,8 +10,8 @@ - - + +
@@ -23,7 +23,7 @@ Vac comprises R&D Service Units, Deep Research, and Incubator Projects. We do applied research based on which we build protocols, libraries, specifications, and publications. As custodians of these protocols, our aim is to adhere to a set of principles that ensure their alignment with our core values and objectives.

- - + + \ No newline at end of file diff --git a/join-us/index.html b/join-us/index.html index 93a17212..a710bd54 100644 --- a/join-us/index.html +++ b/join-us/index.html @@ -10,8 +10,8 @@ - - + +
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- - + + \ No newline at end of file diff --git a/principles/index.html b/principles/index.html index d7812c6c..4c661464 100644 --- a/principles/index.html +++ b/principles/index.html @@ -10,8 +10,8 @@ - - + +
@@ -47,7 +47,7 @@ it is our obligation to token holders to fight bureaucracy and inefficiencies within the organisation. This means solving problems in the most effective way possible at lower economic costs (in terms of capital, time, and resources).

- - + + \ No newline at end of file diff --git a/privacy-policy/index.html b/privacy-policy/index.html index f0c2db5d..764ca330 100644 --- a/privacy-policy/index.html +++ b/privacy-policy/index.html @@ -10,8 +10,8 @@ - - + +
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Privacy Policy

Last updated: 9 February 2024

This Privacy Policy is intended to inform users of our approach to privacy in respect of this website ("Website"). In this regard, if you are visiting our Website, this Privacy Policy applies to you.

1) Who we are​

For the purposes of this Privacy Policy and the collection and processing of personal data as a controller, the relevant entity is the Logos Collective Association, which has its registered office in Zug and its legal domicile address at

Logos Collective Association
c/o PST Consulting GmbH
Baarerstrasse 10
6300 Zug
Switzerland

Whenever we refer to “Logos”, “we” or other similar references, we are referring to the Logos Collective Association.

2) We limit the collection and processing of personal data from your use of the Website​

We aim to limit the collection and collection and processing of personal data from users of the Website. We only collect and process certain personal data for specific purposes and where we have the legal basis to do so under applicable privacy legislation. We will not collect or process any personal data that we don’t need and where we do store any personal data, we will only store it for the least amount of time needed for the indicated purpose.

In this regard, we collect and process the following personal data from your use of the Website:

  • IP address: As part of such use of the Website we briefly process your IP address but we have no way of identifying you. We however have a legitimate interest in processing such IP addresses to ensure the technical functionality and enhance the security measures of the Website. This IP address is not stored by us over time.

3) Third party processing of personal data​

In addition to our limited and collection of personal data, third parties may collect or process personal data as a result of the Website making use of certain features or to provide certain content. To the extent you interact with such third party content or features, their respective privacy policies will apply.

4) Security measures we take in respect of the Website​

As a general approach, we take data security seriously and we have implemented a variety of security measures on the Website to maintain the safety of your personal data when you submit such information to us.

5) Exporting data outside the European Union and Switzerland​

We are obliged to protect the privacy of personal data that you may have submitted in the unlikely event that we export your personal data to places outside the European Union or Switzerland. This means that personal data will only be processed in countries or by parties that provide an adequate level of protection as deemed by Switzerland or the European Commission. Otherwise, we will use other forms of protections, such as specific forms of contractual clauses to ensure such personal data is provided the same protection as required in Switzerland or Europe. In any event, the transmission of personal data outside the European Union and Switzerland will always occur in conformity with applicable privacy legislation.

6) Your choices and rights​

As explained in this Privacy Policy, we limit our collection and processing of your personal data wherever possible. Nonetheless, you still have certain choices and rights in respect of the personal data which we do collect and process. As laid out in relevant privacy legislation, you have the right to:

  • Ask us to correct or update your personal data (where reasonably possible);

  • Ask us to remove your personal data from our systems;

  • Ask us for a copy of your personal data, which may also be transferred to another data controller at your request;

  • Withdraw your consent to process your personal data (only if consent was asked for a processing activity), which only affects processing activities that are based on your consent and doesn’t affect the validity of such processing activities before you have withdrawn your consent;

  • Object to the processing of your personal data; and

  • File a complaint with the Federal Data Protection and Information Commissioner (FDPIC), if you believe that your personal data has been processed unlawfully.

On this Website, you may come across links to third party websites. These third party sites have separate and independent privacy policies. We therefore have no responsibility or liability for the content and activities of these third party websites.

8) This Privacy Policy might change​

We may modify or replace any part of this Privacy Policy at any time and without notice. Please check the Website periodically for any changes. The new Privacy Policy will be effective immediately upon its posting on our Website.

9) Contact information​

To the extent that you have any questions about the Privacy Policy, please contact us at legal@free.technology.

This document is licensed under CC-BY-SA.

- - + + \ No newline at end of file diff --git a/publications/index.html b/publications/index.html index 2e0b8c8e..c38aec41 100644 --- a/publications/index.html +++ b/publications/index.html @@ -10,8 +10,8 @@ - - + +
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- - + + \ No newline at end of file diff --git a/rfcprocess/index.html b/rfcprocess/index.html index f1366df6..83af551c 100644 --- a/rfcprocess/index.html +++ b/rfcprocess/index.html @@ -10,8 +10,8 @@ - - + +
@@ -23,7 +23,7 @@ taking on the responsibility of shepherding and editing specifications for Logos projects and Vac incubator projects. By meticulously crafting and overseeing these specifications, the Vac RFC unit acts as a linchpin for ensuring standardised and interoperable protocols within the Logos ecosystem. Their expertise and attention to detail contribute to a cohesive and collaborative environment, facilitating seamless integration and advancement of decentralised technologies throughout the Logos collective and beyond.

- - + + \ No newline at end of file diff --git a/rlog/GossipSub Improvements/index.html b/rlog/GossipSub Improvements/index.html index 6fc635eb..1d407670 100644 --- a/rlog/GossipSub Improvements/index.html +++ b/rlog/GossipSub Improvements/index.html @@ -10,8 +10,8 @@ - - + +
@@ -103,7 +103,7 @@ Regardless of the overlay design, a continuous readjustment to appropriate peering links is essential for superior performance. At the same time, bandwidth preservation (through message aggregation, caching at strategic locations, metadata sharing, pull-based operation, etc.) can help minimize latency. However, problems like peer churn and in-network adversaries can be best alleviated through balanced redundant coverage, and frequent reshuffling of the peering links.

References

  • [1] D. Vyzovitis, Y. Napora, D. McCormick, D. Dias, and Y. Psaras, “Gossipsub: Attack-resilient message propagation in the filecoin and eth2. 0 networks,” arXiv preprint arXiv:2007.02754, 2020. Retrieved from https://arxiv.org/pdf/2007.02754.pdf
  • [2] M. Matos, V. Schiavoni, P. Felber, R. Oliveira, and E. Riviere, “Brisa: Combining efficiency and reliability in epidemic data dissemination,” in 2012 IEEE 26th International Parallel and Distributed Processing Symposium. IEEE, 2012, pp. 983–994. Retrieved from https://ieeexplore.ieee.org/abstract/document/6267905
  • [3] P. T. Eugster, R. Guerraoui, A. M. Kermarrec, and L. Massouli, “Epidemic information dissemination in distributed systems,” IEEE Computer, vol. 37, no. 5, 2004. Retrieved from https://infoscience.epfl.ch/record/83478/files/EugGueKerMas04IEEEComp.pdf
  • [4] D. Frey, “Epidemic protocols: From large scale to big data,” Ph.D. dissertation, Universite De Rennes 1, 2019. Retrieved from https://inria.hal.science/tel-02375909/document
  • [5] M. Jain and C. Dovrolis, “End-to-end available bandwidth: measurement methodology, dynamics, and relation with tcp throughput,” IEEE/ACM Transactions on networking, vol. 11, no. 4, pp. 537–549, 2003. Retrieved from https://ieeexplore.ieee.org/abstract/document/1224454
  • [6] R. Prasad, C. Dovrolis, M. Murray, and K. Claffy, “Bandwidth estimation: metrics, measurement techniques, and tools,” IEEE network, vol. 17, no. 6, pp. 27–35, 2003. Retrieved from https://ieeexplore.ieee.org/abstract/document/1248658
  • [7] D. Kostic, A. Rodriguez, J. Albrecht, and A. Vahdat, “Bullet: High bandwidth data dissemination using an overlay mesh,” in Proceedings of the nineteenth ACM symposium on Operating systems principles, 2003, pp. 282–297. Retrieved from https://dl.acm.org/doi/abs/10.1145/945445.945473
  • [8] V. Pai, K. Kumar, K. Tamilmani, V. Sambamurthy, and A. E. Mohr, “Chainsaw: Eliminating trees from overlay multicast,” in Peer-to-Peer Systems IV: 4th International Workshop, IPTPS 2005, Ithaca, NY, USA, February 24-25, 2005. Revised Selected Papers 4. Springer, 2005, pp. 127–140. Retrieved from https://link.springer.com/chapter/10.1007/11558989_12
  • [9] Y.-D. Bromberg, Q. Dufour, and D. Frey, “Multisource rumor spreading with network coding,” in IEEE INFOCOM 2019-IEEE Conference on Computer Communications. IEEE, 2019, pp. 2359–2367. Retrieved from https://ieeexplore.ieee.org/abstract/document/8737576
  • [10] B. Haeupler, “Analyzing network coding gossip made easy,” in Proceedings of the forty-third annual ACM symposium on Theory of computing, 2011, pp. 293–302. Retrieved from https://dl.acm.org/doi/abs/10.1145/1993636.1993676
  • [11] S. Yu and Z. Li, “Massive data delivery in unstructured peer-to-peer networks with network coding,” in 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007). IEEE, 2007, pp. 592–597. Retrieved from https://ieeexplore.ieee.org/abstract/document/4276446
  • [12] V. Buterin, D. Feist, D. Loerakker, G. Kadianakis, M. Garnett, M. Taiwo, and A. Dietrichs, “Eip-4844: Shard blob transactions scale data-availability of ethereum in a simple, forwards-compatible manner,” 2022. Retrieved from https://eips.ethereum.org/EIPS/eip-4844
  • [13] A. Manning, “Gossipsub extension for epidemic meshes (v1.2.0),” 2022. Retrieved from https://github.com/libp2p/specs/pull/413
  • [14] Z. Duan, C. Tian, M. Zhou, X. Wang, N. Zhang, H. Du, and L. Wang, “Two-layer hybrid peer-to-peer networks,” Peer-to-Peer Networking and Applications, vol. 10, pp. 1304–1322, 2017. Retrieved from https://link.springer.com/article/10.1007/s12083-016-0460-5
  • [15] W. Hao, J. Zeng, X. Dai, J. Xiao, Q. Hua, H. Chen, K.-C. Li, and H. Jin, “Blockp2p: Enabling fast blockchain broadcast with scalable peer-to-peer network topology,” in Green, Pervasive, and Cloud Computing: 14th International Conference, GPC 2019, Uberlandia, Brazil, May 26–28, 2019, Proceedings 14. Springer, 2019, pp. 223–237. Retrieved from https://link.springer.com/chapter/10.1007/978-3-030-19223-5_16
  • [16] H. Qiu, T. Ji, S. Zhao, X. Chen, J. Qi, H. Cui, and S. Wang, “A geography-based p2p overlay network for fast and robust blockchain systems,” IEEE Transactions on Services Computing, 2022. Retrieved from https://ieeexplore.ieee.org/abstract/document/9826458
- - + + \ No newline at end of file diff --git a/rlog/Nescience-A-zkVM-leveraging-hiding-properties/index.html b/rlog/Nescience-A-zkVM-leveraging-hiding-properties/index.html index d48bb612..42afd926 100644 --- a/rlog/Nescience-A-zkVM-leveraging-hiding-properties/index.html +++ b/rlog/Nescience-A-zkVM-leveraging-hiding-properties/index.html @@ -10,8 +10,8 @@ - - + +
@@ -179,7 +179,7 @@ This incentivizes participation and encourages integrity.

  • Staking and Slashing: Introduce a staking mechanism where provers deposit tokens as collateral. Dishonest behavior results in slashing (partial or complete loss) of the staked tokens, while honest actions are rewarded.

  • Proof of Work/Proof of Stake: Implement a proof-of-work or proof-of- stake consensus mechanism for verification, aligning incentives with the blockchain’s broader consensus mechanism.

    • ↩

    - - + + \ No newline at end of file diff --git a/rlog/archive/index.html b/rlog/archive/index.html index a6ff1c2d..6d3ad515 100644 --- a/rlog/archive/index.html +++ b/rlog/archive/index.html @@ -10,8 +10,8 @@ - - + +
    @@ -20,7 +20,7 @@ ) .lsd-dropdown__trigger:hover .lsd-dropdown__option-label,.lsd-dropdown:not(.lsd-dropdown--disabled):not( .lsd-dropdown--error ) .lsd-dropdown__trigger:focus .lsd-dropdown__option-label{-webkit-text-decoration:underline;text-decoration:underline;}.lsd-dropdown__label{display:block;}.lsd-dropdown__button-container{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;}.lsd-dropdown__trigger{width:100%;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;border:none;cursor:pointer;background:none;}.lsd-dropdown__trigger:focus{outline:none;}.lsd-dropdown__option-label{cursor:inherit;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;}.lsd-dropdown__icons{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;gap:8px;}.lsd-dropdown__icon{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.lsd-dropdown__supporting-text{margin:6px 14px;}.lsd-dropdown--error .lsd-dropdown__option-label{-webkit-text-decoration:line-through;text-decoration:line-through;}.lsd-dropdown--disabled{opacity:0.34;cursor:initial;}.lsd-dropdown--large{width:208px;}.lsd-dropdown--large.lsd-dropdown--error{width:230px;}.lsd-dropdown--large .lsd-dropdown__label{margin:0 0 6px 18px;}.lsd-dropdown--large .lsd-dropdown__button-container{height:40px;}.lsd-dropdown--large .lsd-dropdown__trigger{padding:10px 0px 10px 18px;}.lsd-dropdown--large .lsd-dropdown__icons{padding:0px 14px;}.lsd-dropdown--medium{width:188px;}.lsd-dropdown--medium.lsd-dropdown--error{width:210px;}.lsd-dropdown--medium .lsd-dropdown__label{margin:0 0 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__button-container{height:32px;}.lsd-dropdown--medium .lsd-dropdown__trigger{padding:6px 0px 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__icons{padding:0px 12px;}.lsd-dropdown--small{width:164px;}.lsd-dropdown--small.lsd-dropdown--error{width:186px;}.lsd-dropdown--small .lsd-dropdown__label{margin:0 0 6px 12px;}.lsd-dropdown--small .lsd-dropdown__button-container{height:28px;}.lsd-dropdown--small .lsd-dropdown__trigger{padding:6px 0px 6px 12px;}.lsd-dropdown--small .lsd-dropdown__icons{padding:0px 10px;}.lsd-dropdown--outlined .lsd-dropdown__button-container{border:1px solid rgb(var(--lsd-border-primary));}.lsd-dropdown--underlined .lsd-dropdown__button-container{border:1px solid transparent;border-bottom:1px solid rgb(var(--lsd-border-primary));}

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    - - + + \ No newline at end of file diff --git a/rlog/building-privacy-protecting-infrastructure/index.html b/rlog/building-privacy-protecting-infrastructure/index.html index 96886d64..ce878653 100644 --- a/rlog/building-privacy-protecting-infrastructure/index.html +++ b/rlog/building-privacy-protecting-infrastructure/index.html @@ -10,8 +10,8 @@ - - + +
    @@ -261,7 +261,7 @@ Discord. We are also hiring, and we have started expanding into other privacy infrastructure tech like private and provable computation with ZK-WASM.

    - - + + \ No newline at end of file diff --git a/rlog/device-pairing-in-js-waku-and-go-waku/index.html b/rlog/device-pairing-in-js-waku-and-go-waku/index.html index 3ec06155..88d29a0e 100644 --- a/rlog/device-pairing-in-js-waku-and-go-waku/index.html +++ b/rlog/device-pairing-in-js-waku-and-go-waku/index.html @@ -10,8 +10,8 @@ - - + +
    @@ -20,7 +20,7 @@ ) .lsd-dropdown__trigger:hover .lsd-dropdown__option-label,.lsd-dropdown:not(.lsd-dropdown--disabled):not( .lsd-dropdown--error ) .lsd-dropdown__trigger:focus .lsd-dropdown__option-label{-webkit-text-decoration:underline;text-decoration:underline;}.lsd-dropdown__label{display:block;}.lsd-dropdown__button-container{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;}.lsd-dropdown__trigger{width:100%;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;border:none;cursor:pointer;background:none;}.lsd-dropdown__trigger:focus{outline:none;}.lsd-dropdown__option-label{cursor:inherit;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;}.lsd-dropdown__icons{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;gap:8px;}.lsd-dropdown__icon{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.lsd-dropdown__supporting-text{margin:6px 14px;}.lsd-dropdown--error .lsd-dropdown__option-label{-webkit-text-decoration:line-through;text-decoration:line-through;}.lsd-dropdown--disabled{opacity:0.34;cursor:initial;}.lsd-dropdown--large{width:208px;}.lsd-dropdown--large.lsd-dropdown--error{width:230px;}.lsd-dropdown--large .lsd-dropdown__label{margin:0 0 6px 18px;}.lsd-dropdown--large .lsd-dropdown__button-container{height:40px;}.lsd-dropdown--large .lsd-dropdown__trigger{padding:10px 0px 10px 18px;}.lsd-dropdown--large .lsd-dropdown__icons{padding:0px 14px;}.lsd-dropdown--medium{width:188px;}.lsd-dropdown--medium.lsd-dropdown--error{width:210px;}.lsd-dropdown--medium .lsd-dropdown__label{margin:0 0 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__button-container{height:32px;}.lsd-dropdown--medium .lsd-dropdown__trigger{padding:6px 0px 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__icons{padding:0px 12px;}.lsd-dropdown--small{width:164px;}.lsd-dropdown--small.lsd-dropdown--error{width:186px;}.lsd-dropdown--small .lsd-dropdown__label{margin:0 0 6px 12px;}.lsd-dropdown--small .lsd-dropdown__button-container{height:28px;}.lsd-dropdown--small .lsd-dropdown__trigger{padding:6px 0px 6px 12px;}.lsd-dropdown--small .lsd-dropdown__icons{padding:0px 10px;}.lsd-dropdown--outlined .lsd-dropdown__button-container{border:1px solid rgb(var(--lsd-border-primary));}.lsd-dropdown--underlined .lsd-dropdown__button-container{border:1px solid transparent;border-bottom:1px solid rgb(var(--lsd-border-primary));}

    Device Pairing in Js-waku and Go-waku

    by
    5 min read

    Device pairing and secure message exchange using Waku and noise protocol.

    As the world becomes increasingly connected through the internet, the need for secure and reliable communication becomes paramount. In this article it is described how the Noise protocol can be used as a key-exchange mechanism for Waku.

    Recently, this feature was introduced in js-waku and go-waku, providing a simple API for developers to implement secure communication protocols using the Noise Protocol framework. These open-source libraries provide a solid foundation for building secure and decentralized applications that prioritize data privacy and security.

    This functionality is designed to be simple and easy to use, even for developers who are not experts in cryptography. The library offers a clear and concise API that abstracts away the complexity of the Noise Protocol framework and provides an straightforward interface for developers to use. Using this, developers can effortlessly implement secure communication protocols on top of their JavaScript and Go applications, without having to worry about the low-level details of cryptography.

    One of the key benefits of using Noise is that it provides end-to-end encryption, which means that the communication between two parties is encrypted from start to finish. This is essential for ensuring the security and privacy of sensitive information

    Device Pairing​

    In today's digital world, device pairing has become an integral part of our lives. Whether it's connecting our smartphones with other computers or web applications, the need for secure device pairing has become more crucial than ever. With the increasing threat of cyber-attacks and data breaches, it's essential to implement secure protocols for device pairing to ensure data privacy and prevent unauthorized access.

    To demonstrate how device pairing can be achieved using Waku and Noise, we have examples available at https://examples.waku.org/noise-js/. You can try pairing different devices, such as mobile and desktop, via a web application. This can be done by scanning a QR code or opening a URL that contains the necessary data for a secure handshake.

    The process works as follows:

    Actors:

    • Alice the initiator
    • Bob the responder
    1. The first step in achieving secure device pairing using Noise and Waku is for Bob generate the pairing information which could be transmitted out-of-band. For this, Bob opens https://examples.waku.org/noise-js/ and a QR code is generated, containing the data required to do the handshake. This pairing QR code is timeboxed, meaning that after 2 minutes, it will become invalid and a new QR code must be generated
    2. Alice scans the QR code using a mobile phone. This will open the app with the QR code parameters initiating the handshake process which is described in 43/WAKU2-DEVICE-PAIRING. These messages are exchanged between two devices over Waku to establish a secure connection. The handshake messages consist of three main parts: the initiator's message, the responder's message, and the final message, which are exchanged to establish a secure connection. While using js-noise, the developer is abstracted of this process, since the messaging happens automatically depending on the actions performed by the actors in the pairing process.
    3. Both Alice and Bob will be asked to verify each other's identity. This is done by confirming if an 8-digits authorization code match in both devices. If both actors confirm that the authorization code is valid, the handshake concludes succesfully
    4. Alice and Bob receive a set of shared keys that can be used to start exchanging encrypted messages. The shared secret keys generated during the handshake process are used to encrypt and decrypt messages sent between the devices. This ensures that the messages exchanged between the devices are secure and cannot be intercepted or modified by an attacker.

    The above example demonstrates device pairing using js-waku. Additionally, You can also try building and experimenting with other noise implementations like nwaku, or go-waku, with an example available at https://github.com/waku-org/go-waku/tree/master/examples/noise in which the same flow described before is done with Bob (the receiver) using go-waku instead of js-waku.

    Conclusion​

    With its easy to use API built on top of the Noise Protocol framework and the LibP2P networking stack, if you are a developer looking to implement secure messaging in their applications that are both decentralized and censorship resistant, Waku is definitely an excellent choice worth checking out!

    Waku is also Open source with a MIT and APACHEv2 licenses, which means that developers are encouraged to contribute code, report bugs, and suggest improvements to make it even better.

    Don't hesitate to try the live example at https://examples.waku.org/noise-js and build your own webapp using https://github.com/waku-org/js-noise, https://github.com/waku-org/js-waku and https://github.com/waku-org/go-waku. This will give you a hands-on experience of implementing secure communication protocols using the Noise Protocol framework in a practical setting. Happy coding!

    References​

    - - + + \ No newline at end of file diff --git a/rlog/dns-based-discovery/index.html b/rlog/dns-based-discovery/index.html index e2a29c0d..1855ea8d 100644 --- a/rlog/dns-based-discovery/index.html +++ b/rlog/dns-based-discovery/index.html @@ -10,8 +10,8 @@ - - + +
    @@ -20,7 +20,7 @@ ) .lsd-dropdown__trigger:hover .lsd-dropdown__option-label,.lsd-dropdown:not(.lsd-dropdown--disabled):not( .lsd-dropdown--error ) .lsd-dropdown__trigger:focus .lsd-dropdown__option-label{-webkit-text-decoration:underline;text-decoration:underline;}.lsd-dropdown__label{display:block;}.lsd-dropdown__button-container{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;}.lsd-dropdown__trigger{width:100%;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;border:none;cursor:pointer;background:none;}.lsd-dropdown__trigger:focus{outline:none;}.lsd-dropdown__option-label{cursor:inherit;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;}.lsd-dropdown__icons{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;gap:8px;}.lsd-dropdown__icon{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.lsd-dropdown__supporting-text{margin:6px 14px;}.lsd-dropdown--error .lsd-dropdown__option-label{-webkit-text-decoration:line-through;text-decoration:line-through;}.lsd-dropdown--disabled{opacity:0.34;cursor:initial;}.lsd-dropdown--large{width:208px;}.lsd-dropdown--large.lsd-dropdown--error{width:230px;}.lsd-dropdown--large .lsd-dropdown__label{margin:0 0 6px 18px;}.lsd-dropdown--large .lsd-dropdown__button-container{height:40px;}.lsd-dropdown--large .lsd-dropdown__trigger{padding:10px 0px 10px 18px;}.lsd-dropdown--large .lsd-dropdown__icons{padding:0px 14px;}.lsd-dropdown--medium{width:188px;}.lsd-dropdown--medium.lsd-dropdown--error{width:210px;}.lsd-dropdown--medium .lsd-dropdown__label{margin:0 0 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__button-container{height:32px;}.lsd-dropdown--medium .lsd-dropdown__trigger{padding:6px 0px 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__icons{padding:0px 12px;}.lsd-dropdown--small{width:164px;}.lsd-dropdown--small.lsd-dropdown--error{width:186px;}.lsd-dropdown--small .lsd-dropdown__label{margin:0 0 6px 12px;}.lsd-dropdown--small .lsd-dropdown__button-container{height:28px;}.lsd-dropdown--small .lsd-dropdown__trigger{padding:6px 0px 6px 12px;}.lsd-dropdown--small .lsd-dropdown__icons{padding:0px 10px;}.lsd-dropdown--outlined .lsd-dropdown__button-container{border:1px solid rgb(var(--lsd-border-primary));}.lsd-dropdown--underlined .lsd-dropdown__button-container{border:1px solid transparent;border-bottom:1px solid rgb(var(--lsd-border-primary));}

    DNS Based Discovery

    by
    6 min read

    A look at EIP-1459 and the benefits of DNS based discovery.

    Discovery in p2p networks is the process of how nodes find each other and specific resources they are looking for. Popular discovery protocols, such as Kademlia which utilizes a distributed hash table or DHT, are highly inefficient for resource restricted devices. These methods use short connection windows, and it is quite battery intensive to keep establishing connections. Additionally, we cannot expect a mobile phone for example to synchronize an entire DHT using cellular data.

    Another issue is how we do the initial bootstrapping. In other words, how does a client find its first node to then discover the rest of the network? In most applications, including Status right now, this is done with a static list of nodes that a client can connect to.

    In summary, we have a static list that provides us with nodes we can connect to which then allows us to discover the rest of the network using something like Kademlia. But what we need is something that can easily be mutated, guarantees a certain amount of security, and is efficient for resource restricted devices. Ideally our solution would also be robust and scalable.

    How do we do this?

    EIP 1459: Node Discovery via DNS, which is one of the strategies we are using for discovering waku nodes. EIP-1459 is a DNS-based discovery protocol that stores merkle trees in DNS records which contain connection information for nodes.

    Waku is our fork of Whisper. Oskar recently wrote an entire post explaining it. In short, Waku is our method of fixing the shortcomings of Whisper in a more iterative fashion. You can find the specification here

    DNS-based methods for bootstrapping p2p networks are quite popular. Even Bitcoin uses it, but it uses a concept called DNS seeds, which are just DNS servers that are configured to return a list of randomly selected nodes from the network upon being queried. This means that although these seeds are hardcoded in the client, the IP addresses of actual nodes do not have to be.

    > dig dnsseed.bluematt.me +short
    129.226.73.12
    107.180.78.111
    169.255.56.123
    91.216.149.28
    85.209.240.91
    66.232.124.232
    207.55.53.96
    86.149.241.168
    193.219.38.57
    190.198.210.139
    74.213.232.234
    158.181.226.33
    176.99.2.207
    202.55.87.45
    37.205.10.3
    90.133.4.73
    176.191.182.3
    109.207.166.232
    45.5.117.59
    178.211.170.2
    160.16.0.30

    The above displays the result of querying on of these DNS seeds. All the nodes are stored as A records for the given domain name. This is quite a simple solution which Bitcoin almost soley relies on since removing the IRC bootstrapping method in v0.8.2.

    What makes this DNS based discovery useful? It allows us to have a mutable list of bootstrap nodes without needing to ship a new version of the client every time a list is mutated. It also allows for a more lightweight method of discovering nodes, something very important for resource restricted devices.

    Additionally, DNS provides us with a robust and scalable infrastructure. This is due to its hierarchical architecture. This hierarchical architecture also already makes it distributed such that the failure of one DNS server does not result in us no longer being able to resolve our name.

    As with every solution though, there is a trade-off. By storing the list in DNS name an adversary would simply need to censor the DNS records for a specific name. This would prevent any new client trying to join the network from being able to do so.

    One thing you notice when looking at EIP-1459 is that it is a lot more technically complex than Bitcoin's way of doing this. So if Bitcoin uses this simple method and has proven that it works, why did we need a new method?

    There are multiple reasons, but the main one is security. In the Bitcoin example, an attacker could create a new list and no one querying would be able to tell. This is however mitigated in EIP-1459 where we can verify the integrity of the entire returned list by storing an entire merkle tree in the DNS records.

    Let's dive into this. Firstly, a client that is using these DNS records for discovery must know the public key corresponding to the private key controlled by the entity creating the list. This is because the entire list is signed using a secp256k1 private key, giving the client the ability to authenticate the list and know that it has not been tampered with by some external party.

    So that already makes this a lot safer than the method Bitcoin uses. But how are these lists even stored? As previously stated they are stored using merkle trees as follows:

    • The root of the tree is stored in a TXT record, this record contains the tree's root hash, a sequence number which is incremented every time the tree is updated and a signature as stated above.

      Additionally, there is also a root hash to a second tree called a link tree, it contains the information to different lists. This link tree allows us to delegate trust and build a graph of multiple merkle trees stored across multiple DNS names.

      The sequence number ensures that an attacker cannot replace a tree with an older version because when a client reads the tree, they should ensure that the sequence number is greater than the last synchronized version.

    • Using the root hash for the tree, we can find the merkle tree's first branch, the branch is also stored in a TXT record. The branch record contains all the hashes of the branch's leafs.

    • Once a client starts reading all the leafs, they can find one of two things: either a new branch record leading them further down the tree or an Ethereum Name Records (ENR) which means they now have the address of a node to connect to! To learn more about ethereum node records you can have a look at EIP-778, or read a short blog post I wrote explaining them here.

    Below is the zone file taken from the EIP-1459, displaying how this looks in practice.

    ; name                        ttl     class type  content
    @                             60      IN    TXT   enrtree-root:v1 e=JWXYDBPXYWG6FX3GMDIBFA6CJ4 l=C7HRFPF3BLGF3YR4DY5KX3SMBE seq=1 sig=o908WmNp7LibOfPsr4btQwatZJ5URBr2ZAuxvK4UWHlsB9sUOTJQaGAlLPVAhM__XJesCHxLISo94z5Z2a463gA
    C7HRFPF3BLGF3YR4DY5KX3SMBE    86900   IN    TXT   enrtree://AM5FCQLWIZX2QFPNJAP7VUERCCRNGRHWZG3YYHIUV7BVDQ5FDPRT2@morenodes.example.org
    JWXYDBPXYWG6FX3GMDIBFA6CJ4    86900   IN    TXT   enrtree-branch:2XS2367YHAXJFGLZHVAWLQD4ZY,H4FHT4B454P6UXFD7JCYQ5PWDY,MHTDO6TMUBRIA2XWG5LUDACK24
    2XS2367YHAXJFGLZHVAWLQD4ZY    86900   IN    TXT   enr:-HW4QOFzoVLaFJnNhbgMoDXPnOvcdVuj7pDpqRvh6BRDO68aVi5ZcjB3vzQRZH2IcLBGHzo8uUN3snqmgTiE56CH3AMBgmlkgnY0iXNlY3AyNTZrMaECC2_24YYkYHEgdzxlSNKQEnHhuNAbNlMlWJxrJxbAFvA
    H4FHT4B454P6UXFD7JCYQ5PWDY    86900   IN    TXT   enr:-HW4QAggRauloj2SDLtIHN1XBkvhFZ1vtf1raYQp9TBW2RD5EEawDzbtSmlXUfnaHcvwOizhVYLtr7e6vw7NAf6mTuoCgmlkgnY0iXNlY3AyNTZrMaECjrXI8TLNXU0f8cthpAMxEshUyQlK-AM0PW2wfrnacNI
    MHTDO6TMUBRIA2XWG5LUDACK24    86900   IN    TXT   enr:-HW4QLAYqmrwllBEnzWWs7I5Ev2IAs7x_dZlbYdRdMUx5EyKHDXp7AV5CkuPGUPdvbv1_Ms1CPfhcGCvSElSosZmyoqAgmlkgnY0iXNlY3AyNTZrMaECriawHKWdDRk2xeZkrOXBQ0dfMFLHY4eENZwdufn1S1o

    All of this has already been introduced into go-ethereum with the pull request #20094, created by Felix Lange. There's a lot of tooling around it that already exists too which is really cool. So if your project is written in Golang and wants to use this, it's relatively simple! Additionally, here's a proof of concept that shows what this might look like with libp2p on github.

    I hope this was a helpful explainer into DNS based discovery, and shows EIP-1459's benefits over more traditional DNS-based discovery schemes.

    - - + + \ No newline at end of file diff --git a/rlog/ethics-surveillance-tech/index.html b/rlog/ethics-surveillance-tech/index.html index cd0ae645..19439e83 100644 --- a/rlog/ethics-surveillance-tech/index.html +++ b/rlog/ethics-surveillance-tech/index.html @@ -10,8 +10,8 @@ - - + +
    @@ -164,7 +164,7 @@ Targets of increasingly invasive governmental snooping are too often chosen precisely to suppress the mechanisms from which the legitimacy of such governments flow - the consent of ordinary civilians. Free and fair elections, free speech, free media, freedom of thought are all at risk.

    References​

    - - + + \ No newline at end of file diff --git a/rlog/feasibility-discv5/index.html b/rlog/feasibility-discv5/index.html index f6c02057..ac9fe11e 100644 --- a/rlog/feasibility-discv5/index.html +++ b/rlog/feasibility-discv5/index.html @@ -10,8 +10,8 @@ - - + +
    @@ -20,7 +20,7 @@ ) .lsd-dropdown__trigger:hover .lsd-dropdown__option-label,.lsd-dropdown:not(.lsd-dropdown--disabled):not( .lsd-dropdown--error ) .lsd-dropdown__trigger:focus .lsd-dropdown__option-label{-webkit-text-decoration:underline;text-decoration:underline;}.lsd-dropdown__label{display:block;}.lsd-dropdown__button-container{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;}.lsd-dropdown__trigger{width:100%;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;border:none;cursor:pointer;background:none;}.lsd-dropdown__trigger:focus{outline:none;}.lsd-dropdown__option-label{cursor:inherit;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;}.lsd-dropdown__icons{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;gap:8px;}.lsd-dropdown__icon{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.lsd-dropdown__supporting-text{margin:6px 14px;}.lsd-dropdown--error .lsd-dropdown__option-label{-webkit-text-decoration:line-through;text-decoration:line-through;}.lsd-dropdown--disabled{opacity:0.34;cursor:initial;}.lsd-dropdown--large{width:208px;}.lsd-dropdown--large.lsd-dropdown--error{width:230px;}.lsd-dropdown--large .lsd-dropdown__label{margin:0 0 6px 18px;}.lsd-dropdown--large .lsd-dropdown__button-container{height:40px;}.lsd-dropdown--large .lsd-dropdown__trigger{padding:10px 0px 10px 18px;}.lsd-dropdown--large .lsd-dropdown__icons{padding:0px 14px;}.lsd-dropdown--medium{width:188px;}.lsd-dropdown--medium.lsd-dropdown--error{width:210px;}.lsd-dropdown--medium .lsd-dropdown__label{margin:0 0 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__button-container{height:32px;}.lsd-dropdown--medium .lsd-dropdown__trigger{padding:6px 0px 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__icons{padding:0px 12px;}.lsd-dropdown--small{width:164px;}.lsd-dropdown--small.lsd-dropdown--error{width:186px;}.lsd-dropdown--small .lsd-dropdown__label{margin:0 0 6px 12px;}.lsd-dropdown--small .lsd-dropdown__button-container{height:28px;}.lsd-dropdown--small .lsd-dropdown__trigger{padding:6px 0px 6px 12px;}.lsd-dropdown--small .lsd-dropdown__icons{padding:0px 10px;}.lsd-dropdown--outlined .lsd-dropdown__button-container{border:1px solid rgb(var(--lsd-border-primary));}.lsd-dropdown--underlined .lsd-dropdown__button-container{border:1px solid transparent;border-bottom:1px solid rgb(var(--lsd-border-primary));}

    Feasibility Study: Discv5

    by
    6 min read

    Looking at discv5 and the theoretical numbers behind finding peers.

    Disclaimer: some of the numbers found in this write-up could be inaccurate. They are based on the current understanding of theoretical parts of the protocol itself by the author and are meant to provide a rough overview rather than bindable numbers.

    This post serves as a more authoritative overview of the discv5 study, for a discussionary post providing more context make sure to check out the corresponding discuss post. Additionally, if you are unfamiliar with discv5, check out my previous write-up: "From Kademlia to Discv5".

    Motivating Problem​

    The discovery method currently used by Status, is made up of various components and grew over time to solve a mix of problems. We want to simplify this while maintaining some of the properties we currently have.

    Namely, we want to ensure censorship resistance to state-level adversaries. One of the issues Status had which caused us them add to their discovery method was the fact that addresses from providers like AWS and GCP were blocked both in Russia and China. Additionally, one of the main factors required is the ability to function on resource restricted devices.

    Considering we are talking about resource restricted devices, let's look at the implications and what we need to consider:

    • Battery consumption - constant connections like websockets consume a lot of battery life.
    • CPU usage - certain discovery methods may be CPU incentive, slowing an app down and making it unusable.
    • Bandwidth consumption - a lot of users will be using data plans, the discovery method needs to be efficient in order to accommodate those users without using up significant portions of their data plans.
    • Short connection windows - the discovery algorithm needs to be low latency, that means it needs to return results fast. This is because many users will only have the app open for a short amount of time.
    • Not publicly connectable - There is a good chance that most resource restricted devices are not publicly connectable.

    For a node to be able to participate as both a provider, and a consumer in the discovery method. Meaning a node both reads from other nodes' stored DHTs and hosts the DHT for other nodes to read from, it needs to be publically connectable. This means another node must be able to connect to some public IP of the given node.

    With devices that are behind a NAT, this is easier said than done. Especially mobile devices, that when connected to 4G LTE networks are often stuck behind a symmetric NAT, drastically reducing the the succeess rate of NAT traversal. Keeping this in mind, it becomes obvious that most resource restricted devices will be consumers rather than providers due to this technical limitation.

    In order to answer our questions, we formulated the problem with a simple method for testing. The "needle in a haystack" problem was formulated to figure out how easily a specific node can be found within a given network. This issue was fully formulated in vacp2p/research#15.

    Overview​

    The main things we wanted to investigate was the overhead on finding a peer. This means we wanted to look at both the bandwidth, latency and effectiveness of this. There are 2 methods which we can use to find a peer:

    • We can find a peer with a specific ID, using normal lookup methods as documented by Kademlia.
    • We can find a peer that advertises a capability, this is possible using either capabilities advertised in the ENR or through topic tables.

    Feasbility​

    To be able to investigate the feasibility of discv5, we used various methods including rough calculations which can be found in the notebook, and a simulation isolated in vacp2p/research#19.

    CPU & Memory Usage​

    The experimental discv5 has already been used within Status, however what was noticed was that the CPU and memory usage was rather high. It therefore should be investiaged if this is still the case, and if it is, it should be isolated where this stems from. Additionally it is worth looking at whether or not this is the case with both the go and nim implementation.

    See details: vacp2p/research#31

    NAT on Cellular Data​

    If a peer is not publically connectable it can not participate in the DHT both ways. A lot of mobile phones are behind symmetric NATs which UDP hole-punching close to impossible. It should be investigated whether or not mobile phones will be able to participate both ways and if there are good methods for doing hole-punching.

    See details: vacp2p/research#29

    Topic Tables​

    Topic Tables allow us the ability to efficiently find nodes given a specific topic. However, they are not implemented in the status-im/nim-eth implementation nor are they fully finalized in the spec. These are important if the network grows past a size where the concentration of specific nodes is relatively low making them hard to find.

    See details: vacp2p/research#26

    Finding a node​

    It is important to note, that given a network is relatively small sized, eg 100-500 nodes, then finding a node given a specific address is relatively managable. Additionally, if the concentration of a specific capability in a network is reasonable, then finding a node advertising its capabilities using an ENR rather than the topic table is also managable. A reasonable concentration for example would be 10%, which would give us an 80% chance of getting a node with that capability in the first lookup request. This can be explored more using our discv5 notebook.

    Results​

    Research has shown that finding a node in the DHT has a relatively low effect on bandwidth, both inbound and outbound. For example when trying to find a node in a network of 100 nodes, it would take roughly 5668 bytes total. Additionally if we assume 100ms latency per request it would range at ≈ 300ms latency, translating to 3 requests to find a specific node.

    General Thoughts​

    One of the main blockers right now is figuring out what the CPU and memory usage of discv5 is on mobile phones, this is a large blocker as it affects one of the core problems for us. We need to consider whether discv5 is an upgrade as it allows us to simplify our current discovery process or if it is too much of an overhead for resource restricted devices. The topic table feature could largely enhance discovery however it is not yet implemented. Given that CPU and memory isn't too high, discv5 could probably be used as the other issues are more "features" than large scale issues. Implementing it would already reduce the ability for state level adversaries to censor our nodes.

    Acknowledgements​

    • Oskar Thoren
    • Dmitry Shmatko
    • Kim De Mey
    • Corey Petty
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    @@ -20,7 +20,7 @@ ) .lsd-dropdown__trigger:hover .lsd-dropdown__option-label,.lsd-dropdown:not(.lsd-dropdown--disabled):not( .lsd-dropdown--error ) .lsd-dropdown__trigger:focus .lsd-dropdown__option-label{-webkit-text-decoration:underline;text-decoration:underline;}.lsd-dropdown__label{display:block;}.lsd-dropdown__button-container{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;}.lsd-dropdown__trigger{width:100%;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;border:none;cursor:pointer;background:none;}.lsd-dropdown__trigger:focus{outline:none;}.lsd-dropdown__option-label{cursor:inherit;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;}.lsd-dropdown__icons{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;gap:8px;}.lsd-dropdown__icon{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.lsd-dropdown__supporting-text{margin:6px 14px;}.lsd-dropdown--error .lsd-dropdown__option-label{-webkit-text-decoration:line-through;text-decoration:line-through;}.lsd-dropdown--disabled{opacity:0.34;cursor:initial;}.lsd-dropdown--large{width:208px;}.lsd-dropdown--large.lsd-dropdown--error{width:230px;}.lsd-dropdown--large .lsd-dropdown__label{margin:0 0 6px 18px;}.lsd-dropdown--large .lsd-dropdown__button-container{height:40px;}.lsd-dropdown--large .lsd-dropdown__trigger{padding:10px 0px 10px 18px;}.lsd-dropdown--large .lsd-dropdown__icons{padding:0px 14px;}.lsd-dropdown--medium{width:188px;}.lsd-dropdown--medium.lsd-dropdown--error{width:210px;}.lsd-dropdown--medium .lsd-dropdown__label{margin:0 0 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__button-container{height:32px;}.lsd-dropdown--medium .lsd-dropdown__trigger{padding:6px 0px 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__icons{padding:0px 12px;}.lsd-dropdown--small{width:164px;}.lsd-dropdown--small.lsd-dropdown--error{width:186px;}.lsd-dropdown--small .lsd-dropdown__label{margin:0 0 6px 12px;}.lsd-dropdown--small .lsd-dropdown__button-container{height:28px;}.lsd-dropdown--small .lsd-dropdown__trigger{padding:6px 0px 6px 12px;}.lsd-dropdown--small .lsd-dropdown__icons{padding:0px 10px;}.lsd-dropdown--outlined .lsd-dropdown__button-container{border:1px solid rgb(var(--lsd-border-primary));}.lsd-dropdown--underlined .lsd-dropdown__button-container{border:1px solid transparent;border-bottom:1px solid rgb(var(--lsd-border-primary));}

    Feasibility Study: Semaphore rate limiting through zkSNARKs

    by
    8 min read

    A research log. Zero knowledge signaling as a rate limiting mechanism to prevent spam in p2p networks.

    tldr: Moon math promising for solving spam in Whisper, but to get there we need to invest more in performance work and technical upskilling.

    Motivating problem​

    In open p2p networks for messaging, one big problem is spam-resistance. Existing solutions, such as Whisper's proof of work, are insufficient, especially for heterogeneous nodes. Other reputation-based approaches might not be desirable, due to issues around arbitrary exclusion and privacy.

    One possible solution is to use a right-to-access staking-based method, where a node is only able to send a message, signal, at a certain rate, and otherwise they can be slashed. One problem with this is in terms of privacy-preservation, where we specifically don't want a user to be tied to a specific payment or unique fingerprint.

    In addition to above, there are a lot of related problems that share similarities in terms of their structure and proposed solution.

    • Private transactions (Zcash, AZTEC)
    • Private voting (Semaphore)
    • Private group membership (Semaphore)
    • Layer 2 scaling, poss layer 1 (ZK Rollup; StarkWare/Eth2-3)

    Overview​

    Basic terminology​

    A zero-knowledge proof allows a prover to show a verifier that they know something, without revealing what that something is. This means you can do trust-minimized computation that is also privacy preserving. As a basic example, instead of showing your ID when going to a bar you simply give them a proof that you are over 18, without showing the doorman your id.

    zkSNARKs is a form of zero-knowledge proofs. There are many types of zero-knowledge proofs, and the field is evolving rapidly. They come with various trade-offs in terms of things such as: trusted setup, cryptographic assumptions, proof/verification key size, proof/verification time, proof size, etc. See section below for more.

    Semaphore is a framework/library/construct on top of zkSNARks. It allows for zero-knowledge signaling, specifically on top of Ethereum. This means an approved user can broadcast some arbitrary string without revealing their identity, given some specific constraints. An approved user is someone who has been added to a certain merkle tree. See current Github home for more.

    Circom is a DSL for writing arithmetic circuits that can be used in zkSNARKs, similar to how you might write a NAND gate. See Github for more.

    Basic flow​

    We start with a private voting example, and then extend it to the slashable rate limiting example.

    1. A user registers an identity (arbitrary keypair), along with a small fee, to a smart contract. This adds them to a merkle tree and allows them to prove that they are member of that group, without revealing who they are.

    2. When a user wants to send a message, they compute a zero-knowledge proof. This ensures certain invariants, have some public outputs, and can be verified by anyone (including a smart contract).

    3. Any node can verify the proof, including smart contracts on chain (as of Byzantinum HF). Additionally, a node can have rules for the public output. In the case of voting, one such rule is that a specific output hash has to be equal to some predefined value, such as "2020-01-01 vote on Foo Bar for president".

    4. Because of how the proof is constructed, and the rules around output values, this ensures that: a user is part of the approved set of voters and that a user can only vote once.

    5. As a consequence of above, we have a system where registered users can only vote once, no one can see who voted for what, and this can all be proven and verified.

    Rate limiting example​

    In the case of rate limiting, we do want nodes to send multiple messages. This changes step 3-5 above somewhat.

    NOTE: It is a bit more involved than this, and if we precompute proofs the flow might look a bit different. But the general idea is the same.

    1. Instead of having a rule that you can only vote once, we have a rule that you can only send a message per epoch. Epoch here can be every second, as defined by UTC date time +-20s.

    2. Additionally, if a users sends more than one message per epoch, one of the public outputs is a random share of a private key. Using Shamir's Secret Sharing (similar to a multisig) and 2/3 key share as an example threshold: in the normal case only 1/3 private keys is revealed, which is insufficient to have access. In the case where two messages are sent in an epoch, probabilistically 2/3 shares is sufficient to have access to the key (unless you get the same random share of the key).

    3. This means any untrusted user who detects a spamming user, can use it to access their private key corresponding to funds in the contract, and thus slash them.

    4. As a consequence of above, we have a system where registered users can only messages X times per epoch, and no one can see who is sending what messages. Additionally, if a user is violating the above rate limit, they can be punished and any user can profit from it.

    Briefly on scope of 'approved users'​

    In the case of an application like Status, this construct can either be a global StatusNetwork group, or one per chat, or network, etc. It can be applied both at the network and user level. There are no specific limitations on where or who deploys this, and it is thus more of a UX consideration.

    Technical details​

    For a fairly self-contained set of examples above, see exploration in Vac research repo. Note that the Shamir secret sharing is not inside the SNARK, but out-of-band for now.

    The current version of Semaphore is using NodeJS and Circom from Iden3 for Snarks.

    For more on rate limiting idea, see ethresearch post.

    Feasibility​

    The above repo was used to exercise the basic paths and to gain intution of feasibility. Based on it and related reading we outline a few blockers and things that require further study.

    Technical feasibility​

    Proof time​

    Prove time for Semaphore (https://github.com/kobigurk/semaphore) zKSNARKs using circom, groth and snarkjs is currently way too long. It takes on the order of ~10m to generate a proof. With Websnark, it is likely to take 30s, which might still be too long. We should experiment with native code on mobile here.

    See details.

    Proving key size​

    Prover key size is ~110mb for Semaphore. Assuming this is embedded on mobile device, it bloats the APK a lot. Current APK size is ~30mb and even that might be high for people with limited bandwidth.

    See details.

    Trusted setup​

    Using zkSNARKs a trusted setup is required to generate prover and verifier keys. As part of this setup, a toxic parameter lambda is generated. If a party gets access to this lambda, they can prove anything. This means people using zKSNARKs usually have an elaborate MPC ceremony to ensure this parameter doesn't get discovered.

    See details.

    Shamir logic in SNARK​

    For Semaphore RLN we need to embed the Shamir logic inside the SNARK in order to do slashing for spam. Currently the implementation is trusted and very hacky.

    See details.

    End to end integation​

    Currently is standalone and doesn't touch multiple users, deployed contract with merkle tree and verification, actual transactions, a mocked network, add/remove members, etc. There are bound to be edge cases and unknown unknowns here.

    See details.

    Licensing issues​

    Currently Circom uses a GPL license, which can get tricky when it comes to the App Store etc.

    See details.

    Alternative ZKPs?​

    Some of the isolated blockers for zKSNARKs (#7, #8, #9) might be mitigated by the use of other ZKP technology. However, they likely have their own issues.

    See details.

    Social feasibility​

    Technical skill​

    zkSNARKs and related technologies are quite new. To learn how they work and get an intuition for them requires individuals to dedicate a lot of time to studying them. This means we must make getting competence in these technologies if we wish to use them to our advantage.

    Time and resources​

    In order for this and related projects (such as private transaction) to get anywhere, it must be made an explicit area of focus for an extend period of time.

    General thoughts​

    Similar to Whisper, and in line with moving towards protocol and infrastructure, we need to upskill and invest resources into this. This doesn't mean developing all of the technologies ourselves, but gaining enough competence to leverage and extend existing solutions by the growing ZKP community.

    For example, this might also include leveraging largely ready made solutions such as AZTEC for private transaction; more fundamental research into ZK rollup and similar; using Semaphore for private group membership and private voting; Nim based wrapper aronud Bellman, etc.

    Acknowledgement​

    Thanks to Barry Whitehat for patient explanation and pointers. Thanks to WJ for helping with runtime issues.

    Peacock header image from [Tonos](<https://en.wikipedia.org/wiki/File:Flickr-lo.tangelini-Tonos(1).jpg>)._

    - - + + \ No newline at end of file diff --git a/rlog/fixing-whisper-with-waku/index.html b/rlog/fixing-whisper-with-waku/index.html index c0ae0c50..d4395bfe 100644 --- a/rlog/fixing-whisper-with-waku/index.html +++ b/rlog/fixing-whisper-with-waku/index.html @@ -10,8 +10,8 @@ - - + +
    @@ -41,7 +41,7 @@ lay the groundwork (clear specs, common issues/components) necessary to make switching to another protocol easier. In this project we want to emphasize iterative work with results on the order of weeks.

    Briefly on Waku mode​

    • Doesn’t impact existing clients, it’s just a separate node and capability.
    • Other nodes can still use Whisper as is, like a full node.
    • Sacrifices metadata protection and incurs higher connectivity/availability requirements for scalbility

    Requirements:

    • Exposes API to get messages from a set of list of topics (no bloom filter)
    • Way of being identified as a Waku node (e.g. through version string)
    • Option to statically encode this node in app, e.g. similar to custom bootnodes/mailserver
    • Only node that needs to be connected to, possibly as Whisper relay / mailserver hybrid

    Provides:

    • likely provides scalability of up to 10k users and beyond
    • with some enhancements to partition topic logic, can possibly scale up to 1m users (app/network specific)

    Caveats:

    • hasn’t been tested in a large-scale simulation
    • other network and intermediate node bottlenecks might become apparent (e.g. full bloom filter and private cluster capacity; can likely be dealt with in isolation using known techniques, e.g. load balancing) (deployment specific)

    Progress so far​

    In short, we have a Waku version 0 spec up as well as a PoC for backwards compatibility. In the coming weeks, we are going to solidify the specs, get a more fully featured PoC for Waku mode. See rough roadmap, project board [link deprecated] and progress thread on the Vac forum.

    The spec has been rewrittten for clarity, with ABNF grammar and less ambiguous language. The spec also incorporates several previously ad hoc implemented features, such as light nodes and mailserver/client support. This has already caught a few incompatibilities between the geth (Go), status/whisper (Go) and nim-eth (Nim) versions, specifically around light node usage and the handshake.

    If you are interested in this effort, please check out our forum for questions, comments and proposals. We already have some discussion for better spam protection (see previous post for a more complex but privacy-preserving proposal), something that is likely going to be addressed in future versions of Waku, along with many other fixes and enhancement.

    - - + + \ No newline at end of file diff --git a/rlog/future-of-waku-network/index.html b/rlog/future-of-waku-network/index.html index d0b34325..8debc8ce 100644 --- a/rlog/future-of-waku-network/index.html +++ b/rlog/future-of-waku-network/index.html @@ -10,8 +10,8 @@ - - + +
    @@ -57,7 +57,7 @@ maintaining its core principles. As Waku continues to evolve, we expect it to accommodate a diverse range of use cases and business models, all while preserving privacy, resisting censorship, avoiding surveillance, and remaining accessible to devices with limited resources.

    References​

    1. 51/WAKU2-RELAY-SHARDING
    2. 57/STATUS-Simple-Scaling
    3. 58/RLN-V2
    4. Scaling Status Communities: Potential Problems
    5. Waku Network Testing
    6. 51/WAKU2-RELAY-SHARDING: Control Message Shards
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    @@ -24,7 +24,7 @@ scalable communication. Waku is available in several languages and platforms, from Web to mobile to desktop to cloud. Initially, We pushed Waku adoption to the Web ecosystem, we learned that Waku is usable in a variety of complex applications and infrastructure projects. We have prioritized our effort to make Waku usable on various platforms and environments.

    by
    19 min read

    What is privacy-protecting infrastructure? Why do we need it and how we can build it? We'll look at Waku, the communication layer for Web3. We'll see how it uses ZKPs to incentivize and protect the Waku network. We'll also look at Zerokit, a library that makes it easier to use ZKPs in different environments. After reading this, I hope you'll better understand the importance of privacy-protecting infrastructure and how we can build it.

    - - + + \ No newline at end of file diff --git a/rlog/introducing-nwaku/index.html b/rlog/introducing-nwaku/index.html index e643dd6f..a022a4b1 100644 --- a/rlog/introducing-nwaku/index.html +++ b/rlog/introducing-nwaku/index.html @@ -10,8 +10,8 @@ - - + +
    @@ -166,7 +166,7 @@ feel free to join our Vac Discord server or to check out the nwaku repo on Github. You can also view the changelog for past releases here.

    References​

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    From Kademlia to Discv5

    by
    9 min read

    A quick history of discovery in peer-to-peer networks, along with a look into discv4 and discv5, detailing what they are, how they work and where they differ.

    If you've been working on Ethereum or adjacent technologies you've probably heard of discv4 or discv5. But what are they actually? How do they work and what makes them different? To answer these questions, we need to start at the beginning, so this post will assume that there is little knowledge on the subject so the post should be accessible for anyone.

    The Beginning​

    Let's start right at the beginning: the problem of discovery and organization of nodes in peer-to-peer networks.

    Early P2P file sharing technologies, such as Napster, would share information about who holds what file using a single server. A node would connect to the central server and give it a list of the files it owns. Another node would then connect to that central server, find a node that has the file it is looking for and contact that node. This however was a flawed system -- it was vulnerable to attacks and left a single party open to lawsuits.

    It became clear that another solution was needed, and after years of research and experimentation, we were given the distributed hash table or DHT.

    Distributed Hash Tables​

    In 2001 4 new protocols for such DHTs were conceived, Tapestry, Chord, CAN and Pastry, all of which made various trade-offs and changes in their core functionality, giving them unique characteristics.

    But as said, they're all DHTs. So what is a DHT?

    A distributed hash table (DHT) is essentially a distributed key-value list. Nodes participating in the DHT can easily retrieve the value for a key.

    If we have a network with 9 key-value pairs and 3 nodes, ideally each node would store 3 (optimally 6 for redundancy) of those key-value pairs, meaning that if a key-value pair were to be updated, only part of the network would responsible for ensuring that it is. The idea is that any node in the network would know where to find the specific key-value pair it is looking for based on how things are distributed amongst the nodes.

    Kademlia​

    So now that we know what DHTs are, let's get to Kademlia, the predecessor of discv4. Kademlia was created by Petar Maymounkov and David Mazières in 2002. I will naively say that this is probably one of the most popular and most used DHT protocols. It's quite simple in how it works, so let's look at it.

    In Kademlia, nodes and values are arranged by distance (in a very mathematical definition). This distance is not a geographical one, but rather based on identifiers. It is calculated how far 2 identifiers are from eachother using some distance function.

    Kademlia uses an XOR as its distance function. An XOR is a function that outputs true only when inputs differ. Here is an example with some binary identifiers:

    XOR 10011001
        00110010
        --------
        10101011

    The top in decimal numbers means that the distance between 153 and 50 is 171.

    There are several reasons why XOR was taken:

    1. The distance from one ID to itself will be 0.
    2. Distance is symmetric, A to B is the same as B to A.
    3. Follows triangle inequality, if A, B and C are points on a triangle then the distance A to B is closer or equal to that of A to C plus the one from B to C.

    In summary, this distance function allows a node to decide what is "close" to it and make decisions based on that "closeness".

    Kademlia nodes store a routing table. This table contains multiple lists. Each subsequent list contains nodes which are a little further distanced than the ones included in the previous list. Nodes maintain detailed knowledge about nodes closest to them, and the further away a node is, the less knowledge the node maintains about it.

    So let's say I want to find a specific node. What I would do is go to any node which I already know and ask them for all their neighbours closest to my target. I repeat this process for the returned neighbours until I find my target.

    The same thing happens for values. Values have a certain distance from nodes and their IDs are structured the same way so we can calculate this distance. If I want to find a value, I simply look for the neighbours closest to that value's key until I find the one storing said value.

    For Kademlia nodes to support these functions, there are several messages with which the protocol communicates.

    • PING - Used to check whether a node is still running.
    • STORE - Stores a value with a given key on a node.
    • FINDNODE - Returns the closest nodes requested to a given ID.
    • FINDVALUE - The same as FINDNODE, except if a node stores the specific value it will return it directly.

    This is a very simplified explanation of Kademlia and skips various important details. For the full description, make sure to check out the paper or a more in-depth design specification

    Discv4​

    Now after that history lesson, we finally get to discv4 (which stands for discovery v4), Ethereum's current node discovery protocol. The protocol itself is essentially based off of Kademlia, however it does away with certain aspects of it. For example, it does away with any usage of the value part of the DHT.

    Kademlia is mainly used for the organisation of the network, so we only use the routing table to locate other nodes. Due to the fact that discv4 doesn't use the value portion of the DHT at all, we can throw away the FINDVALUE and STORE commands described by Kademlia.

    The lookup method previously described by Kademlia describes how a node gets its peers. A node contacts some node and asks it for the nodes closest to itself. It does so until it can no longer find any new nodes.

    Additionally, discv4 adds mutual endpoint verification. This is meant to ensure that a peer calling FINDNODE also participates in the discovery protocol.

    Finally, all discv4 nodes are expected to maintain up-to-date ENR records. These contain information about a node. They can be requested from any node using a discv4-specific packet called ENRRequest.

    If you want some more details on ENRs, check out one of my posts "Network Addresses in Ethereum"

    Discv4 comes with its own range of problems however. Let's look at a few of them.

    Firstly, the way discv4 works right now, there is no way to differentiate between node sub-protocols. This means for example that an Ethereum node could add an Ethereum Classic Node, Swarm or Whisper node to its DHT without realizing that it is invalid until more communication has happened. This inability to differentiate sub-protocols makes it harder to find specific nodes, such as Ethereum nodes with light-client support.

    Next, in order to prevent replay attacks, discv4 uses timestamps. This however can lead to various issues when a host's clock is wrong. For more details, see the "Known Issues" section of the discv4 specification.

    Finally, we have an issue with the way mutual endpoint verification works. Messages can get dropped and there is no way to tell if both peers have verified eachother. This means that we could consider our peer verified while it does not consider us so making them drop the FINDNODE packet.

    Discv5​

    Finally, let's look at discv5. The next iteration of discv4 and the discovery protocol which will be used by Eth 2.0. It aims at fixing various issues present in discv4.

    The first change is the way FINDNODE works. In traditional Kademlia as well as in discv5, we pass an identifier. However, in discv5 we instead pass the logarithmic distance, meaning that a FINDNODE request gets a response containing all nodes at the specified logarithmic distance from the called node.

    Logarithmic distance means we first calculate the distance and then run it through our log base 2 function. See:

    log2(A xor B)

    And the second, more important change, is that discv5 aims at solving one of the biggest issues of discv4: the differentiation of sub-protocols. It does this by adding topic tables. Topic tables are first in first out lists that contain nodes which have advertised that they provide a specific service. Nodes get themselves added to this list by registering ads on their peers.

    As of writing, there is still an issue with this proposal. There is currently no efficient way for a node to place ads on multiple peers, since it would require separate requests for every peer which is inefficient in a large-scale network.

    Additionally, it is unclear how many peers a node should place these ads on and exactly which peers to place them on. For more details, check out the issue devp2p#136.

    There are a bunch more smaller changes to the protocol, but they are less important hence they were ommitted from this summary.

    Nevertheless, discv5 still does not resolve a couple issues present in discv4, such as unreliable endpoint verification. As of writing this post, there is currently no new method in discv5 to improve the endpoint verification process.

    As you can see discv5 is still a work in progress and has a few large challenges to overcome. However if it does, it will most likely be a large improvement to a more naive Kademlia implementations.

    Hopefully this article helped explain what these discovery protocols are and how they work. If you're interested in their full specifications you can find them on github.

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    P2P Data Sync for Mobile

    by
    12 min read

    A research log. Reliable and decentralized, pick two.

    Together with decanus, I've been working on the problem of data sync lately.

    In building p2p messaging systems, one problem you quickly come across is the problem of reliably transmitting data. If there's no central server with high availability guarantees, you can't meaningfully guarantee that data has been transmitted. One way of solving this problem is through a synchronization protocol.

    There are many synchronization protocols out there and I won't go into detail of how they differ with our approach here. Some common examples are Git and Bittorrent, but there are also projects like IPFS, Swarm, Dispersy, Matrix, Briar, SSB, etc.

    Problem motivation​

    Why do we want to do p2p sync for mobilephones in the first place? There are three components to that question. One is on the value of decentralization and peer-to-peer, the second is on why we'd want to reliably sync data at all, and finally why mobilephones and other resource restricted devices.

    Why p2p?​

    For decentralization and p2p, there are both technical and social/philosophical reasons. Technically, having a user-run network means it can scale with the number of users. Data locality is also improved if you query data that's close to you, similar to distributed CDNs. The throughput is also improved if there are more places to get data from.

    Socially and philosophically, there are several ways to think about it. Open and decentralized networks also relate to the idea of open standards, i.e. compare the longevity of AOL with IRC or Bittorrent. One is run by a company and is shut down as soon as it stops being profitable, the others live on. Additionally increasingly control of data and infrastructure is becoming a liability. By having a network with no one in control, everyone is. It's ultimately a form of democratization, more similar to organic social structures pre Big Internet companies. This leads to properties such as censorship resistance and coercion resistance, where we limit the impact a 3rd party might have a voluntary interaction between individuals or a group of people. Examples of this are plentiful in the world of Facebook, Youtube, Twitter and WeChat.

    Why reliably sync data?​

    At risk of stating the obvious, reliably syncing data is a requirement for many problem domains. You don't get this by default in a p2p world, as it is unreliable with nodes permissionslessly join and leave the network. In some cases you can get away with only ephemeral data, but usually you want some kind of guarantees. This is a must for reliable group chat experience, for example, where messages are expected to arrive in a timely fashion and in some reasonable order. The same is true for messages there represent financial transactions, and so on.

    Why mobilephones?​

    Most devices people use daily are mobile phones. It's important to provide the same or at least similar guarantees to more traditional p2p nodes that might run on a desktop computer or computer. The alternative is to rely on gateways, which shares many of the drawbacks of centralized control and prone to censorship, control and surveillence.

    More generally, resource restricted devices can differ in their capabilities. One example is smartphones, but others are: desktop, routers, Raspberry PIs, POS systems, and so on. The number and diversity of devices are exploding, and it's useful to be able to leverage this for various types of infrastructure. The alternative is to centralize on big cloud providers, which also lends itself to lack of democratization and censorship, etc.

    Minimal Requirements​

    For requirements or design goals for a solution, here's what we came up with.

    1. MUST sync data reliably between devices. By reliably we mean having the ability to deal with messages being out of order, dropped, duplicated, or delayed.

    2. MUST NOT rely on any centralized services for reliability. By centralized services we mean any single point of failure that isn’t one of the endpoint devices.

    3. MUST allow for mobile-friendly usage. By mobile-friendly we mean devices that are resource restricted, mostly-offline and often changing network.

    4. MAY use helper services in order to be more mobile-friendly. Examples of helper services are decentralized file storage solutions such as IPFS and Swarm. These help with availability and latency of data for mostly-offline devices.

    5. MUST have the ability to provide casual consistency. By casual consistency we mean the commonly accepted definition in distributed systems literature. This means messages that are casually related can achieve a partial ordering.

    6. MUST support ephemeral messages that don’t need replication. That is, allow for messages that don’t need to be reliabily transmitted but still needs to be transmitted between devices.

    7. MUST allow for privacy-preserving messages and extreme data loss. By privacy-preserving we mean things such as exploding messages (self-destructing messages). By extreme data loss we mean the ability for two trusted devices to recover from a, deliberate or accidental, removal of data.

    8. MUST be agnostic to whatever transport it is running on. It should not rely on specific semantics of the transport it is running on, nor be tightly coupled with it. This means a transport can be swapped out without loss of reliability between devices.

    MVDS - a minimium viable version​

    The first minimum viable version is in an alpha stage, and it has a specification, implementation and we have deployed it in a console client for end to end functionality. It's heavily inspired by Bramble Sync Protocol.

    The spec is fairly minimal. You have nodes that exchange records over some secure transport. These records are of different types, such as OFFER, MESSAGE, REQUEST, and ACK. A peer keep tracks of the state of message for each node it is interacting with. There's also logic for message retransmission with exponential delay. The positive ACK and retransmission model is quite similar to how TCP is designed.

    There are two different modes of syncing, interactive and batch mode. See sequence diagrams below.

    Interactive mode:

    Interactive mode

    Batch mode:

    Batch mode

    Which mode should you choose? It's a tradeoff of latency and bandwidth. If you want to minimize latency, batch mode is better. If you care about preserving bandwidth interactive mode is better. The choice is up to each node.

    Basic simulation​

    Initial ad hoc bandwidth and latency testing shows some issues with a naive approach. Running with the default simulation settings:

    • communicating nodes: 2
    • nodes using interactive mode: 2
    • interval between messages: 5s
    • time node is offine: 90%
    • nodes each node is sharing with: 2

    we notice a huge overhead. More specifically, we see a ~5 minute latency overhead and a bandwidth multiplier of x100-1000, i.e. 2-3 orders of magnitude just for receiving a message with interactive mode, without acks.

    Now, that seems terrible. A moment of reflection will reveal why that is. If each node is offline uniformly 90% of the time, that means that each record will be lost 90% of the time. Since interactive mode requires offer, request, payload (and then ack), that's three links just for Bob to receive the actual message.

    Each failed attempt implies another retransmission. That means we have (1/0.1)^3 = 1000 expected overhead to receive a message in interactive mode. The latency follows naturally from that, with the retransmission logic.

    Mostly-offline devices​

    The problem above hints at the requirements 3 and 4 above. While we did get reliable syncing (requirement 1), it came at a big cost.

    There are a few ways of getting around this issue. One is having a store and forward model, where some intermediary node picks up (encrypted) messages and forwards them to the recipient. This is what we have in production right now at Status.

    Another, arguably more pure and robust, way is having a remote log, where the actual data is spread over some decentralized storage layer, and you have a mutable reference to find the latest messages, similar to DNS.

    What they both have in common is that they act as a sort of highly-available cache to smooth over the non-overlapping connection windows between two endpoints. Neither of them are required to get reliable data transmission.

    Basic calculations for bandwidth multiplier​

    While we do want better simulations, and this is a work in progress, we can also look at the above scenarios using some basic calculations. This allows us to build a better intuition and reason about the problem without having to write code. Let's start with some assumptions:

    • two nodes exchanging a single message in batch mode
    • 10% uniformly random uptime for each node
    • in HA cache case, 100% uptime of a piece of infrastructure C
    • retransmission every epoch (with constant or exponential backoff)
    • only looking at average (p50) case

    First case, no helper services​

    A sends a message to B, and B acks it.

    A message -> B (10% chance of arrival)
    A   <- ack   B (10% chance of arrival)

    With a constant backoff, A will send messages at epoch 1, 2, 3, .... With exponential backoff and a multiplier of 2, this would be 1, 2, 4, 8, .... Let's assume constant backoff for now, as this is what will influence the success rate and thus the bandwidth multiplier.

    There's a difference between time to receive and time to stop sending. Assuming each send attempt is independent, it takes on average 10 epochs for A's message to arrive with B. Furthermore:

    1. A will send messages until it receives an ACK.
    2. B will send ACK if it receives a message.

    To get an average of one ack through, A needs to send 100 messages, and B send on average 10 acks. That's a multiplier of roughly a 100. That's roughly what we saw with the simulation above for receiving a message in interactive mode.

    Second case, high-availability caching layer​

    Let's introduce a helper node or piece of infrastructure, C. Whenever A or B sends a message, it also sends it to C. Whenever A or B comes online, it queries for messages with C.

    A message    -> B (10% chance of arrival)
    A message    -> C (100% chance of arrival)
    B <- req/res -> C (100% chance of arrival)
    A   <- ack      B (10% chance of arrival)
    C   <- ack      B (100% chance of arrival)
    A <- req/res -> C (100% chance of arrival)

    What's the probability that A's messages will arrive at B? Directly, it's still 10%. But we can assume it's 100% that C picks up the message. (Giving C a 90% chance success rate doesn't materially change the numbers).

    B will pick up A's message from C after an average of 10 epochs. Then B will send ack to A, which will also be picked up by C 100% of the time. Once A comes online again, it'll query C and receive B's ack.

    Assuming we use exponential backoff with a multiplier of 2, A will send a message directly to B at epoch 1, 2, 4, 8 (assuming it is online). At this point, epoch 10, B will be online in the average case. These direct sends will likely fail, but B will pick the message up from C and send one ack, both directly to A and to be picked up by C. Once A comes online, it'll query C and receive the ack from B, which means it won't do any more retransmits.

    How many messages have been sent? Not counting interactions with C, A sends 4 (at most) and B 1. Depending on if the interaction with C is direct or indirect (i.e. multicast), the factor for interaction with C will be ~2. This means the total bandwidth multiplier is likely to be <10, which is a lot more acceptable.

    Since the syncing semantics are end-to-end, this is without relying on the reliablity of C.

    Caveat​

    Note that both of these are probabilistic argument. They are also based on heuristics. More formal analysis would be desirable, as well as better simulations to experimentally verify them. In fact, the calculations could very well be wrong!

    Future work​

    There are many enhancements that can be made and are desirable. Let's outline a few.

    1. Data sync clients. Examples of actual usage of data sync, with more interesting domain semantics. This also includes usage of sequence numbers and DAGs to know what content is missing and ought to be synced.

    2. Remote log. As alluded to above, this is necessary. It needs a more clear specification and solid proof of concepts.

    3. More efficient ways of syncing with large number of nodes. When the number of nodes goes up, the algorithmic complexity doesn't look great. This also touches on things such as ambient content discovery.

    4. More robust simulations and real-world deployments. Exisiting simulation is ad hoc, and there are many improvements that can be made to gain more confidence and identify issues. Additionally, better formal analysis.

    5. Example usage over multiple transports. Including things like sneakernet and meshnets. The described protocol is designed to work over unstructured, structured and private p2p networks. In some cases it can leverage differences in topology, such as multicast, or direct connections.

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    @@ -20,7 +20,7 @@ ) .lsd-dropdown__trigger:hover .lsd-dropdown__option-label,.lsd-dropdown:not(.lsd-dropdown--disabled):not( .lsd-dropdown--error ) .lsd-dropdown__trigger:focus .lsd-dropdown__option-label{-webkit-text-decoration:underline;text-decoration:underline;}.lsd-dropdown__label{display:block;}.lsd-dropdown__button-container{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;}.lsd-dropdown__trigger{width:100%;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;border:none;cursor:pointer;background:none;}.lsd-dropdown__trigger:focus{outline:none;}.lsd-dropdown__option-label{cursor:inherit;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;}.lsd-dropdown__icons{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;gap:8px;}.lsd-dropdown__icon{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.lsd-dropdown__supporting-text{margin:6px 14px;}.lsd-dropdown--error .lsd-dropdown__option-label{-webkit-text-decoration:line-through;text-decoration:line-through;}.lsd-dropdown--disabled{opacity:0.34;cursor:initial;}.lsd-dropdown--large{width:208px;}.lsd-dropdown--large.lsd-dropdown--error{width:230px;}.lsd-dropdown--large .lsd-dropdown__label{margin:0 0 6px 18px;}.lsd-dropdown--large .lsd-dropdown__button-container{height:40px;}.lsd-dropdown--large .lsd-dropdown__trigger{padding:10px 0px 10px 18px;}.lsd-dropdown--large .lsd-dropdown__icons{padding:0px 14px;}.lsd-dropdown--medium{width:188px;}.lsd-dropdown--medium.lsd-dropdown--error{width:210px;}.lsd-dropdown--medium .lsd-dropdown__label{margin:0 0 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__button-container{height:32px;}.lsd-dropdown--medium .lsd-dropdown__trigger{padding:6px 0px 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__icons{padding:0px 12px;}.lsd-dropdown--small{width:164px;}.lsd-dropdown--small.lsd-dropdown--error{width:186px;}.lsd-dropdown--small .lsd-dropdown__label{margin:0 0 6px 12px;}.lsd-dropdown--small .lsd-dropdown__button-container{height:28px;}.lsd-dropdown--small .lsd-dropdown__trigger{padding:6px 0px 6px 12px;}.lsd-dropdown--small .lsd-dropdown__icons{padding:0px 10px;}.lsd-dropdown--outlined .lsd-dropdown__button-container{border:1px solid rgb(var(--lsd-border-primary));}.lsd-dropdown--underlined .lsd-dropdown__button-container{border:1px solid transparent;border-bottom:1px solid rgb(var(--lsd-border-primary));}

    Research Blog

    Blog

    by
    11 min read

    Introducing nwaku, a Nim-based Waku v2 client, including a summary of recent developments and preview of current and future focus areas.

    by
    21 min read

    This post is going to give you an overview of how spam protection can be achieved in Waku Relay through rate-limiting nullifiers. We will cover a summary of spam-protection methods in centralized and p2p systems, and the solution overview and details of the economic spam-protection method. The open issues and future steps are discussed in the end.

    by
    8 min read

    A research log. Read on to find out what is going on with Waku v2, a messaging protocol. What has been happening? What is coming up next?

    - - + + \ No newline at end of file diff --git a/rlog/page/3/index.html b/rlog/page/3/index.html index dd347656..22ff852b 100644 --- a/rlog/page/3/index.html +++ b/rlog/page/3/index.html @@ -10,8 +10,8 @@ - - + +
    @@ -20,7 +20,7 @@ ) .lsd-dropdown__trigger:hover .lsd-dropdown__option-label,.lsd-dropdown:not(.lsd-dropdown--disabled):not( .lsd-dropdown--error ) .lsd-dropdown__trigger:focus .lsd-dropdown__option-label{-webkit-text-decoration:underline;text-decoration:underline;}.lsd-dropdown__label{display:block;}.lsd-dropdown__button-container{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;}.lsd-dropdown__trigger{width:100%;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;border:none;cursor:pointer;background:none;}.lsd-dropdown__trigger:focus{outline:none;}.lsd-dropdown__option-label{cursor:inherit;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;}.lsd-dropdown__icons{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;gap:8px;}.lsd-dropdown__icon{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.lsd-dropdown__supporting-text{margin:6px 14px;}.lsd-dropdown--error .lsd-dropdown__option-label{-webkit-text-decoration:line-through;text-decoration:line-through;}.lsd-dropdown--disabled{opacity:0.34;cursor:initial;}.lsd-dropdown--large{width:208px;}.lsd-dropdown--large.lsd-dropdown--error{width:230px;}.lsd-dropdown--large .lsd-dropdown__label{margin:0 0 6px 18px;}.lsd-dropdown--large .lsd-dropdown__button-container{height:40px;}.lsd-dropdown--large .lsd-dropdown__trigger{padding:10px 0px 10px 18px;}.lsd-dropdown--large .lsd-dropdown__icons{padding:0px 14px;}.lsd-dropdown--medium{width:188px;}.lsd-dropdown--medium.lsd-dropdown--error{width:210px;}.lsd-dropdown--medium .lsd-dropdown__label{margin:0 0 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__button-container{height:32px;}.lsd-dropdown--medium .lsd-dropdown__trigger{padding:6px 0px 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__icons{padding:0px 12px;}.lsd-dropdown--small{width:164px;}.lsd-dropdown--small.lsd-dropdown--error{width:186px;}.lsd-dropdown--small .lsd-dropdown__label{margin:0 0 6px 12px;}.lsd-dropdown--small .lsd-dropdown__button-container{height:28px;}.lsd-dropdown--small .lsd-dropdown__trigger{padding:6px 0px 6px 12px;}.lsd-dropdown--small .lsd-dropdown__icons{padding:0px 10px;}.lsd-dropdown--outlined .lsd-dropdown__button-container{border:1px solid rgb(var(--lsd-border-primary));}.lsd-dropdown--underlined .lsd-dropdown__button-container{border:1px solid transparent;border-bottom:1px solid rgb(var(--lsd-border-primary));}

    Research Blog

    Blog

    by
    9 min read

    A quick history of discovery in peer-to-peer networks, along with a look into discv4 and discv5, detailing what they are, how they work and where they differ.

    by
    6 min read

    A research log. What's the current state of Waku? How many users does it support? What are the bottlenecks? What's next?

    by
    6 min read

    Vac is a modular peer-to-peer messaging stack, with a focus on secure messaging. Overview of terms, stack and open problems.

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    @@ -20,7 +20,7 @@ ) .lsd-dropdown__trigger:hover .lsd-dropdown__option-label,.lsd-dropdown:not(.lsd-dropdown--disabled):not( .lsd-dropdown--error ) .lsd-dropdown__trigger:focus .lsd-dropdown__option-label{-webkit-text-decoration:underline;text-decoration:underline;}.lsd-dropdown__label{display:block;}.lsd-dropdown__button-container{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;}.lsd-dropdown__trigger{width:100%;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;border:none;cursor:pointer;background:none;}.lsd-dropdown__trigger:focus{outline:none;}.lsd-dropdown__option-label{cursor:inherit;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;}.lsd-dropdown__icons{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;gap:8px;}.lsd-dropdown__icon{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.lsd-dropdown__supporting-text{margin:6px 14px;}.lsd-dropdown--error .lsd-dropdown__option-label{-webkit-text-decoration:line-through;text-decoration:line-through;}.lsd-dropdown--disabled{opacity:0.34;cursor:initial;}.lsd-dropdown--large{width:208px;}.lsd-dropdown--large.lsd-dropdown--error{width:230px;}.lsd-dropdown--large .lsd-dropdown__label{margin:0 0 6px 18px;}.lsd-dropdown--large .lsd-dropdown__button-container{height:40px;}.lsd-dropdown--large .lsd-dropdown__trigger{padding:10px 0px 10px 18px;}.lsd-dropdown--large .lsd-dropdown__icons{padding:0px 14px;}.lsd-dropdown--medium{width:188px;}.lsd-dropdown--medium.lsd-dropdown--error{width:210px;}.lsd-dropdown--medium .lsd-dropdown__label{margin:0 0 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__button-container{height:32px;}.lsd-dropdown--medium .lsd-dropdown__trigger{padding:6px 0px 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__icons{padding:0px 12px;}.lsd-dropdown--small{width:164px;}.lsd-dropdown--small.lsd-dropdown--error{width:186px;}.lsd-dropdown--small .lsd-dropdown__label{margin:0 0 6px 12px;}.lsd-dropdown--small .lsd-dropdown__button-container{height:28px;}.lsd-dropdown--small .lsd-dropdown__trigger{padding:6px 0px 6px 12px;}.lsd-dropdown--small .lsd-dropdown__icons{padding:0px 10px;}.lsd-dropdown--outlined .lsd-dropdown__button-container{border:1px solid rgb(var(--lsd-border-primary));}.lsd-dropdown--underlined .lsd-dropdown__button-container{border:1px solid transparent;border-bottom:1px solid rgb(var(--lsd-border-primary));}

    Research Blog

    Blog
    - - + + \ No newline at end of file diff --git a/rlog/presenting-js-waku/index.html b/rlog/presenting-js-waku/index.html index cbab210a..d248145c 100644 --- a/rlog/presenting-js-waku/index.html +++ b/rlog/presenting-js-waku/index.html @@ -10,8 +10,8 @@ - - + +
    @@ -100,7 +100,7 @@ or chat2. You can get support in #dappconnect-support on Vac Discord or Telegram. If you have any ideas on how Waku could enable a specific dapp or use case, do share, we are always keen to hear it.

    - - + + \ No newline at end of file diff --git a/rlog/remote-log/index.html b/rlog/remote-log/index.html index 137d1fd7..5ff9b484 100644 --- a/rlog/remote-log/index.html +++ b/rlog/remote-log/index.html @@ -10,8 +10,8 @@ - - + +
    @@ -24,7 +24,7 @@ helper services are decentralized file storage solutions such as IPFS and Swarm. These help with availability and latency of data for mostly-offline devices.

    Remote log​

    A remote log is a replication of a local log. This means a node can read data from a node that is offline.

    The spec is in an early draft stage and can be found here. A very basic spike / proof-of-concept can be found here.

    Definitions​

    TermDefinition
    CASContent-addressed storage. Stores data that can be addressed by its hash.
    NSName system. Associates mutable data to a name.
    Remote logReplication of a local log at a different location.

    Roles​

    There are four fundamental roles:

    1. Alice
    2. Bob
    3. Name system (NS)
    4. Content-addressed storage (CAS)

    The remote log is the data format of what is stored in the name system.

    "Bob" can represent anything from 0 to N participants. Unlike Alice, Bob only needs read-only access to NS and CAS.

    Flow​

    Figure 1: Remote log data synchronization.

    Data format​

    The remote log lets receiving nodes know what data they are missing. Depending on the specific requirements and capabilities of the nodes and name system, the information can be referred to differently. We distinguish between three rough modes:

    1. Fully replicated log
    2. Normal sized page with CAS mapping
    3. "Linked list" mode - minimally sized page with CAS mapping

    A remote log is simply a mapping from message identifiers to their corresponding address in a CAS:

    Message Identifier (H1)CAS Hash (H2)
    H1_3H2_3
    H1_2H2_2
    H1_1H2_1
    address to next page

    The numbers here corresponds to messages. Optionally, the content itself can be included, just like it normally would be sent over the wire. This bypasses the need for a dedicated CAS and additional round-trips, with a trade-off in bandwidth usage.

    Message Identifier (H1)Content
    H1_3C3
    H1_2C2
    H1_1C1
    address to next page

    Both patterns can be used in parallel, e,g. by storing the last k messages directly and use CAS pointers for the rest. Together with the next_page page semantics, this gives users flexibility in terms of bandwidth and latency/indirection, all the way from a simple linked list to a fully replicated log. The latter is useful for things like backups on durable storage.

    Interaction with MVDS​

    vac.mvds.Message payloads are the only payloads that MUST be uploaded. Other messages types MAY be uploaded, depending on the implementation.

    Future work​

    The spec is still in an early draft stage, so it is expected to change. Same with the proof of concept. More work is needed on getting a fully featured proof of concept with specific CAS and NAS instances. E.g. Swarm and Swarm Feeds, or IPFS and IPNS, or something else.

    For data sync in general:

    • Make consistency guarantees more explicit for app developers with support for sequence numbers and DAGs, as well as the ability to send non-synced messages. E.g. ephemeral typing notifications, linear/sequential history and casual consistency/DAG history
    • Better semantics and scalability for multi-user sync contexts, e.g. CRDTs and joining multiple logs together
    • Better usability in terms of application layer usage (data sync clients) and supporting more transports

    PS1. Thanks everyone who submitted great logo proposals for Vac!

    PPS2. Next week on October 10th decanus and I will be presenting Vac at Devcon, come say hi :)

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    @@ -64,7 +64,7 @@ It can used in other langugages via the FFI API, which is documented here. The usage of RLN in Waku is detailed in our RLN Implementers guide, which provides step-by-step instructions on how to run Waku-RLN-Relay.

    Following is a diagram that will help understand the dependency tree -

    rln-dep-tree

    Future work​

    • Optimizations to zerokit for proof generation time.
    • Incrementing tree depth from 20 to 32, to allow more memberships.
    • Optimizations to the smart contract.
    • An ability to signal validity of a message in different time windows.
    • Usage of proving systems other than Groth16.

    References​

    - - + + \ No newline at end of file diff --git a/rlog/rln-light-verifiers/index.html b/rlog/rln-light-verifiers/index.html index c2347c54..5955bed2 100644 --- a/rlog/rln-light-verifiers/index.html +++ b/rlog/rln-light-verifiers/index.html @@ -10,8 +10,8 @@ - - + +
    @@ -52,7 +52,7 @@ appending the shardIndex of the commitment.

    Proof of concept​

    A proof of concept implementation of the tiered commitment tree is available here, and is deployed on Sepolia at 0xE7987c70B54Ff32f0D5CBbAA8c8Fc1cAf632b9A5.

    It is compatible with the current implementation of the RLN verifier.

    Future work​

    1. Optimize the gas costs of the tiered commitment tree.
    2. Explore using different number of leaves under a given node in the tree (currently set to 2).

    Conclusion​

    The tiered commitment tree is a promising approach to reduce the number of RPC calls required to sync the tree and reduce the gas costs associated with computing the root of the tree. Consequently, it allows for a more scalable and efficient RLN verifier.

    References​

    - - + + \ No newline at end of file diff --git a/rlog/rln-relay/index.html b/rlog/rln-relay/index.html index c05f160c..eed17a9f 100644 --- a/rlog/rln-relay/index.html +++ b/rlog/rln-relay/index.html @@ -10,8 +10,8 @@ - - + +
    @@ -29,7 +29,7 @@

    Figure 3: Publishing, Routing and Slashing workflow.

    Feasibility and Open Issues​

    We've come a long way since a year ago, blockers resolved, now we have implemented it end-to-end. We learned lot and could identify further issues and unknowns some of which are blocking getting to production. The summary of the identified issues are presented below.

    Storage overhead per peer​

    Currently, peers are supposed to maintain the entire tree locally and it imposes storage overhead which is linear in the size of the group (see this issue11 for more details). One way to cope with this is to use the light-node and full-node paradigm in which only a subset of peers who are more resourceful retain the tree whereas the light nodes obtain the necessary information by interacting with the full nodes. Another way to approach this problem is through a more storage efficient method (as described in this research issue12) where peers store a partial view of the tree instead of the entire tree. Keeping the partial view lowers the storage complexity to O(log(N)) where N is the size of the group. There are still unknown unknowns to this solution, as such, it must be studied further to become fully functional.

    Cost-effective way of member insertion and deletion​

    Currently, the cost associated with RLN-Relay membership is around 30 USD10. We aim at finding a more cost-effective approach. Please feel free to share with us your solution ideas in this regard in this issue.

    Exceeding the messaging rate via multiple registrations​

    While the economic-incentive solution has an economic incentive to discourage spamming, we should note that there is still expensive attack(s)23 that a spammer can launch to break the messaging rate limit. That is, the attacker can pay for multiple legit registrations e.g., k, hence being able to publish k messages per epoch. We believe that the higher the membership fee is, the less probable would be such an attack, hence a stronger level of spam-protection can be achieved. Following this argument, the high fee associated with the membership (which we listed above as an open problem) can indeed be contributing to a better protection level.

    Conclusion and Future Steps​

    As discussed in this post, Waku RLN Relay can achieve a privacy-preserving economic spam protection through rate-limiting nullifiers. The idea is to financially discourage peers from publishing more than one message per epoch. In specific, exceeding the messaging rate results in a financial charge. Those who violate this rule are called spammers and their messages are spam. The identification of spammers does not rely on any central entity. Also, the financial punishment of spammers is cryptographically guaranteed. In this solution, privacy is guaranteed since: 1) Peers do not have to disclose any piece of personally identifiable information in any phase i.e., neither in the registration nor in the messaging phase 2) Peers can prove that they have not exceeded the messaging rate in a zero-knowledge manner and without leaving any trace to their membership accounts. Furthermore, all the computations are light hence this solution fits the heterogenous p2p messaging system. Note that the zero-knowledge proof parts are handled through zkSNARKs and the benchmarking result can be found in the RLN benchmark report5.

    Future steps:

    We are still at the PoC level, and the development is in progress. As our future steps,

    • we would like to evaluate the running time associated with the Merkle tree operations. Indeed, the need to locally store Merkle tree on each peer was one of the unknowns discovered during this PoC and yet the concrete benchmarking result in this regard is not available.
    • We would also like to pursue our storage-efficient Merkle Tree maintenance solution in order to lower the storage overhead of peers.
    • In line with the storage optimization, the full-node light-node structure is another path to follow.
    • Another possible improvement is to replace the membership contract with a distributed group management scheme e.g., through distributed hash tables. This is to address possible performance issues that the interaction with the Ethereum blockchain may cause. For example, the registration transactions are subject to delay as they have to be mined before being visible in the state of the membership contract. This means peers have to wait for some time before being able to publish any message.

    Acknowledgement​

    Thanks to Onur Kılıç for his explanation and pointers and for assisting with development and runtime issues. Also thanks to Barry Whitehat for his time and insightful comments. Special thanks to Oskar Thoren for his constructive comments and his guides during the development of this PoC and the writeup of this post.

    References​

    1. RLN-Relay specification: https://rfc.vac.dev/spec/17/↩
    2. RLN documentation: https://hackmd.io/tMTLMYmTR5eynw2lwK9n1w?both↩
    3. RLN repositories: https://github.com/kilic/RLN and https://github.com/kilic/rlnapp↩
    4. Waku v2: https://rfc.vac.dev/spec/10/↩
    5. GossipSub: https://docs.libp2p.io/concepts/publish-subscribe/↩
    6. Waku Relay: https://rfc.vac.dev/spec/11/↩
    7. Proof of work: http://www.infosecon.net/workshop/downloads/2004/pdf/clayton.pdf and https://link.springer.com/content/pdf/10.1007/3-540-48071-4_10.pdf↩
    8. EIP-627 Whisper: https://eips.ethereum.org/EIPS/eip-627↩
    9. Peer Scoring: https://github.com/libp2p/specs/blob/master/pubsub/gossipsub/gossipsub-v1.1.md#peer-scoring↩
    10. Peer scoring security issues: https://github.com/vacp2p/research/issues/44↩
    11. Zero Knowledge Proof: https://dl.acm.org/doi/abs/10.1145/3335741.3335750 and https://en.wikipedia.org/wiki/Zero-knowledge_proof↩
    12. zkSNARKs: https://link.springer.com/chapter/10.1007/978-3-662-49896-5_11 and https://coinpare.io/whitepaper/zcash.pdf↩
    13. Shamir Secret Sharing Scheme: https://en.wikipedia.org/wiki/Shamir%27s_Secret_Sharing↩
    14. zkSNARKs proof time: https://github.com/vacp2p/research/issues/7↩
    15. Prover key size: https://github.com/vacp2p/research/issues/8↩
    16. The lack of Shamir secret sharing in zkSNARKs: https://github.com/vacp2p/research/issues/10↩
    17. The MPC required for zkSNARKs trusted setup: https://github.com/vacp2p/research/issues/9↩
    18. Storage overhead per peer: https://github.com/vacp2p/research/issues/57↩
    19. Storage-efficient Merkle Tree maintenance: https://github.com/vacp2p/research/pull/54↩
    20. Cost-effective way of member insertion and deletion: https://github.com/vacp2p/research/issues/56↩
    21. Attack on the messaging rate: https://github.com/vacp2p/specs/issues/251↩
    22. RLN Benchmark: https://hackmd.io/tMTLMYmTR5eynw2lwK9n1w?view#Benchmarks↩
    - - + + \ No newline at end of file diff --git a/rlog/rln-v3/index.html b/rlog/rln-v3/index.html index 39ed9867..5db9f0b0 100644 --- a/rlog/rln-v3/index.html +++ b/rlog/rln-v3/index.html @@ -10,8 +10,8 @@ - - + +
    @@ -67,7 +67,7 @@ which previously cleared itself every second to the higher bound of the user_epoch_limit, which is 3600. Now, the RLN proof verifier must clear the nullifier log every 3600 seconds to satisfactorily detect double signaling.

    The implementation​

    An implementation of the RLN-v3 scheme in gnark can be found here.

    Comments on performance​

    • Hardware: Macbook Air M2, 16GB RAM
    • Circuit: RLN-v3
    • Proving system: Groth16
    • Framework: gnark
    • Elliptic curve: bn254 (aka bn128) (not to be confused with the 254-bit Weierstrass curve)
    • Finite field: Prime-order subgroup of the group of points on the bn254 curve
    • Default Merkle tree height: 20
    • Hashing algorithm: Poseidon
    • Merkle tree: Sparse Indexed Merkle Tree

    Proving​

    The proving time for the RLN-v3 circuit is 90ms for a single proof.

    Verification​

    The verification time for the RLN-v3 circuit is 1.7ms for a single proof.

    Conclusion​

    The RLN-v3 scheme introduces a new epoch-based message rate-limiting scheme to the RLN protocol. It enhances the user's flexibility in setting their message limits and cost-optimizes their stake.

    Future work​

    • Implementing the RLN-v3 scheme in Zerokit
    • Implementing the RLN-v3 scheme in Waku
    • Formal security analysis of the RLN-v3 scheme

    References​

    - - + + \ No newline at end of file diff --git a/rlog/vac-overview/index.html b/rlog/vac-overview/index.html index 2bd83ec4..a2bdab78 100644 --- a/rlog/vac-overview/index.html +++ b/rlog/vac-overview/index.html @@ -10,8 +10,8 @@ - - + +
    @@ -20,7 +20,7 @@ ) .lsd-dropdown__trigger:hover .lsd-dropdown__option-label,.lsd-dropdown:not(.lsd-dropdown--disabled):not( .lsd-dropdown--error ) .lsd-dropdown__trigger:focus .lsd-dropdown__option-label{-webkit-text-decoration:underline;text-decoration:underline;}.lsd-dropdown__label{display:block;}.lsd-dropdown__button-container{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;}.lsd-dropdown__trigger{width:100%;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;border:none;cursor:pointer;background:none;}.lsd-dropdown__trigger:focus{outline:none;}.lsd-dropdown__option-label{cursor:inherit;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;}.lsd-dropdown__icons{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;gap:8px;}.lsd-dropdown__icon{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.lsd-dropdown__supporting-text{margin:6px 14px;}.lsd-dropdown--error .lsd-dropdown__option-label{-webkit-text-decoration:line-through;text-decoration:line-through;}.lsd-dropdown--disabled{opacity:0.34;cursor:initial;}.lsd-dropdown--large{width:208px;}.lsd-dropdown--large.lsd-dropdown--error{width:230px;}.lsd-dropdown--large .lsd-dropdown__label{margin:0 0 6px 18px;}.lsd-dropdown--large .lsd-dropdown__button-container{height:40px;}.lsd-dropdown--large .lsd-dropdown__trigger{padding:10px 0px 10px 18px;}.lsd-dropdown--large .lsd-dropdown__icons{padding:0px 14px;}.lsd-dropdown--medium{width:188px;}.lsd-dropdown--medium.lsd-dropdown--error{width:210px;}.lsd-dropdown--medium .lsd-dropdown__label{margin:0 0 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__button-container{height:32px;}.lsd-dropdown--medium .lsd-dropdown__trigger{padding:6px 0px 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__icons{padding:0px 12px;}.lsd-dropdown--small{width:164px;}.lsd-dropdown--small.lsd-dropdown--error{width:186px;}.lsd-dropdown--small .lsd-dropdown__label{margin:0 0 6px 12px;}.lsd-dropdown--small .lsd-dropdown__button-container{height:28px;}.lsd-dropdown--small .lsd-dropdown__trigger{padding:6px 0px 6px 12px;}.lsd-dropdown--small .lsd-dropdown__icons{padding:0px 10px;}.lsd-dropdown--outlined .lsd-dropdown__button-container{border:1px solid rgb(var(--lsd-border-primary));}.lsd-dropdown--underlined .lsd-dropdown__button-container{border:1px solid transparent;border-bottom:1px solid rgb(var(--lsd-border-primary));}

    Vac - A Rough Overview

    by
    6 min read

    Vac is a modular peer-to-peer messaging stack, with a focus on secure messaging. Overview of terms, stack and open problems.

    Vac is a modular peer-to-peer messaging stack, with a focus on secure messaging. What does that mean? Let's unpack it a bit.

    Basic terms​

    messaging stack. While the initial focus is on data sync, we are concerned with all layers in the stack. That means all the way from underlying transports, p2p overlays and routing, to initial trust establishment and semantics for things like group chat. The ultimate goal is to give application developers the tools they need to provide secure messaging for their users, so they can focus on their domain expertise.

    modular. Unlike many other secure messaging applications, our goal is not to have a tightly coupled set of protocols, nor is it to reinvent the wheel. Instead, we aim to provide options at each layer in the stack, and build on the shoulders of giants, putting a premimum on interoperability. It's similar in philosophy to projects such as libp2p or Substrate in that regard. Each choice comes with different trade-offs, and these look different for different applications.

    peer-to-peer. The protocols we work on are pure p2p, and aim to minimize centralization. This too is in opposition to many initiatives in the secure messaging space.

    messaging. By messaging we mean messaging in a generalized sense. This includes both human to human communication, as well machine to machine communication. By messaging we also mean something more fundamental than text messages, we also include things like transactions (state channels, etc) under this moniker.

    secure messaging. Outside of traditional notions of secure messaging, such as ensuring end to end encryption, forward secrecy, avoiding MITM-attacks, etc, we are also concerned with two other forms of secure messaging. We call these private messaging and censorship-resistance. Private messaging means viewing privacy as a security property, with all that entails. Censorship resistance ties into being p2p, but also in terms of allowing for transports and overlays that can't easily be censored by port blocking, traffic analysis, and similar.

    Vāc. Is a Vedic goddess of speech. It also hints at being a vaccine.

    Protocol stack​

    What does this stack look like? We take inspiration from core internet architecture, existing survey work and other efforts that have been done to decompose the problem into orthogonal pieces. Each layer provides their own set of properties and only interact with the layers it is adjacent to. Note that this is a rough sketch.

    Layer / ProtocolPurposeExamples
    Application layerEnd user semantics1:1 chat, group chat
    Data SyncData consistencyMVDS, BSP
    Secure TransportConfidentiality, PFS, etcDouble Ratchet, MLS
    Transport PrivacyTransport and metadata protectionWhisper, Tor, Mixnet
    P2P OverlayOverlay routing, NAT traversaldevp2p, libp2p
    Trust EstablishmentEstablishing end-to-end trustTOFU, web of trust

    As an example, end user semantics such as group chat or moderation capabilities can largely work regardless of specific choices further down the stack. Similarly, using a mesh network or Tor doesn't impact the use of Double Ratchet at the Secure Transport layer.

    Data Sync plays a similar role to what TCP does at the transport layer in a traditional Internet architecture, and for some applications something more like UDP is likely to be desirable.

    In terms of specific properties and trade-offs at each layer, we'll go deeper down into them as we study them. For now, this is best treated as a rough sketch or mental map.

    Problems and rough priorities​

    With all the pieces involved, this is quite an undertaking. Luckily, a lot of pieces are already in place and can be either incorporated as-is or iterated on. In terms of medium and long term, here's a rough sketch of priorities and open problems.

    1. Better data sync. While the current MVDS works, it is lacking in a few areas:
    • Lack of remote log for mostly-offline offline devices
    • Better scalability for multi-user chat contexts
    • Better usability in terms of application layer usage and supporting more transports
    1. Better transport layer support. Currently MVDS runs primarily over Whisper, which has a few issues:
    • scalability, being able to run with many nodes
    • spam-resistance, proof of work is a poor mechanism for heterogeneous devices
    • no incentivized infrastructure, leading to centralized choke points

    In addition to these most immediate concerns, there are other open problems. Some of these are overlapping with the above.

    1. Adaptive nodes. Better support for resource restricted devices and nodes of varying capabilities. Light connection strategy for resources and guarantees. Security games to outsource processing with guarantees.

    2. Incentivized and spam-resistant messaging. Reasons to run infrastructure and not relying on altruistic nodes. For spam resistance, in p2p multicast spam is a big attack vector due to amplification. There are a few interesting directions here, such as EigenTrust, proof of burn with micropayments, and leveraging zero-knowledge proofs.

    3. Strong privacy guarantees at transport privacy layer. More rigorous privacy guarantees and explicit trade-offs for metadata protection. Includes Mixnet.

    4. Censorship-resistant and robust P2P overlay. NAT traversal; running in the browser; mesh networks; pluggable transports for traffic obfuscation.

    5. Scalable and decentralized secure conversational security. Strong security guarantees such as forward secrecy, post compromise security, for large group chats. Includes projects such MLS and extending Double Ratchet.

    6. Better trust establishment and key handling. Avoiding MITM attacks while still enabling a good user experience. Protecting against ghost users in group chat and providing better ways to do key handling.

    There is also a set of more general problems, that touch multiple layers:

    1. Ensuring modularity and interoperability. Providing interfaces that allow for existing and new protocols to be at each layer of the stack.

    2. Better specifications. Machine-readable and formally verified specifications. More rigorous analysis of exact guarantees and behaviors. Exposing work in such a way that it can be analyzed by academics.

    3. Better simulations. Providing infrastructure and tooling to be able to test protocols in adverse environments and at scale.

    4. Enabling excellent user experience. A big reason for the lack of widespread adoption of secure messaging is the fact that more centralized, insecure methods provide a better user experience. Given that incentives can align better for users interested in secure messaging, providing an even better user experience should be doable.

    We got some work to do. Come help us if you want. See you in the next update!

    - - + + \ No newline at end of file diff --git a/rlog/waku-for-all/index.html b/rlog/waku-for-all/index.html index 30c832e9..6fd7f2ae 100644 --- a/rlog/waku-for-all/index.html +++ b/rlog/waku-for-all/index.html @@ -10,8 +10,8 @@ - - + +
    @@ -66,7 +66,7 @@ Raspberry Pi Zero and other restricted-resource environments,
  • More communication & marketing effort around Waku and the Waku developer community.

    • References​

    • [1] Waku is modular; it is a suite of protocols; hence some Waku protocols may be mature, while new protocols are still being designed. Which means that research continues to be ongoing while Waku is already used in production.
    • [2] The Optimism Foundation runs the only block produce on the Optimism network.
    • [3] Top 10 L2s are documented has having a centralized operator.
    - - + + \ No newline at end of file diff --git a/rlog/waku-update/index.html b/rlog/waku-update/index.html index 2d1a6f9e..33a74867 100644 --- a/rlog/waku-update/index.html +++ b/rlog/waku-update/index.html @@ -10,8 +10,8 @@ - - + +
    @@ -21,7 +21,7 @@ .lsd-dropdown--error ) .lsd-dropdown__trigger:focus .lsd-dropdown__option-label{-webkit-text-decoration:underline;text-decoration:underline;}.lsd-dropdown__label{display:block;}.lsd-dropdown__button-container{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;}.lsd-dropdown__trigger{width:100%;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;border:none;cursor:pointer;background:none;}.lsd-dropdown__trigger:focus{outline:none;}.lsd-dropdown__option-label{cursor:inherit;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;}.lsd-dropdown__icons{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;gap:8px;}.lsd-dropdown__icon{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.lsd-dropdown__supporting-text{margin:6px 14px;}.lsd-dropdown--error .lsd-dropdown__option-label{-webkit-text-decoration:line-through;text-decoration:line-through;}.lsd-dropdown--disabled{opacity:0.34;cursor:initial;}.lsd-dropdown--large{width:208px;}.lsd-dropdown--large.lsd-dropdown--error{width:230px;}.lsd-dropdown--large .lsd-dropdown__label{margin:0 0 6px 18px;}.lsd-dropdown--large .lsd-dropdown__button-container{height:40px;}.lsd-dropdown--large .lsd-dropdown__trigger{padding:10px 0px 10px 18px;}.lsd-dropdown--large .lsd-dropdown__icons{padding:0px 14px;}.lsd-dropdown--medium{width:188px;}.lsd-dropdown--medium.lsd-dropdown--error{width:210px;}.lsd-dropdown--medium .lsd-dropdown__label{margin:0 0 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__button-container{height:32px;}.lsd-dropdown--medium .lsd-dropdown__trigger{padding:6px 0px 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__icons{padding:0px 12px;}.lsd-dropdown--small{width:164px;}.lsd-dropdown--small.lsd-dropdown--error{width:186px;}.lsd-dropdown--small .lsd-dropdown__label{margin:0 0 6px 12px;}.lsd-dropdown--small .lsd-dropdown__button-container{height:28px;}.lsd-dropdown--small .lsd-dropdown__trigger{padding:6px 0px 6px 12px;}.lsd-dropdown--small .lsd-dropdown__icons{padding:0px 10px;}.lsd-dropdown--outlined .lsd-dropdown__button-container{border:1px solid rgb(var(--lsd-border-primary));}.lsd-dropdown--underlined .lsd-dropdown__button-container{border:1px solid transparent;border-bottom:1px solid rgb(var(--lsd-border-primary));}

    Waku Update

    by
    6 min read

    A research log. What's the current state of Waku? How many users does it support? What are the bottlenecks? What's next?

    Waku is our fork of Whisper where we address the shortcomings of Whisper in an iterative manner. We've seen a in previous post that Whisper doesn't scale, and why. In this post we'll talk about what the current state of Waku is, how many users it can support, and future plans.

    Current state​

    Specs:

    We released Waku spec v0.3 this week! You can see the full changelog here.

    The main change from 0.2 is making the handshake more flexible. This enables us to communicate topic interest immediately without ambiguity. We also did the following:

    • added recommendation for DNS based discovery
    • added an upgradability and compatibility policy
    • cut the spec up into several components

    We cut the spec up in several components to make Vac as modular as possible. The components right now are:

    We can probably factor these out further as the main spec is getting quite big, but this is good enough for now.

    Clients:

    There are currently two clients that implement Waku v0.3, these are Nimbus (Update: now nim-waku) in Nim and status-go in Go.

    For more details on what each client support and don't, you can follow the work in progress checklist.

    Work is currently in progress to integrate it into the Status core app. Waku is expected to be part of their upcoming 1.1 release (see Status app roadmap (link deprecated)).

    Simulation:

    We have a simulation that verifies - or rather, fails to falsify - our scalability model. More on the simulation and what it shows below.

    How many users does Waku support?​

    This is our current understanding of how many users a network running Waku can support. Specifically in the context of the Status chat app, since that's the most immediate consumer of Waku. It should generalize fairly well to most deployments.

    tl;dr (for Status app):

    • beta: 100 DAU
    • v1: 1k DAU
    • v1.1 (waku only): 10k DAU (up to x10 with deployment hotfixes)
    • v1.2 (waku+dns): 100k DAU (can optionally be folded into v1.1)

    Assuming 10 concurrent users = 100 DAU. Estimate uncertainty increases for each order of magnitude until real-world data is observed.

    As far as we know right now, these are the bottlenecks we have:

    • Immediate bottleneck - Receive bandwidth for end user clients (aka ‘Fixing Whisper with Waku’)
    • Very likely bottleneck - Nodes and cluster capacity (aka ‘DNS based node discovery’)
    • Conjecture but not unlikely to appear- Full node traffic (aka ‘the routing / partition problem’)

    We've already seen the first bottleneck being discussed in the initial post. Dean wrote a post on DNS based discovery which explains how we will address the likely second bottleneck. More on the third one in future posts.

    For more details on these bottlenecks, see Scalability estimate: How many users can Waku and the Status app support?.

    Simulation​

    The ultimate test is real-world usage. Until then, we have a simulation thanks to Kim De Mey from the Nimbus team!

    We have two network topologies, Star and full mesh. Both networks have 6 full nodes, one traditional light node with bloom filter, and one Waku light node.

    One of the full nodes sends 1 envelope over 1 of the 100 topics that the two light nodes subscribe to. After that, it sends 10000 envelopes over random topics.

    For light node, bloom filter is set to almost 10% false positive (bloom filter: n=100, k=3, m=512). It shows the number of valid and invalid envelopes received for the different nodes.

    Star network:

    DescriptionPeersValidInvalid
    Master node7100010
    Full node 13100010
    Full node 21100010
    Full node 31100010
    Full node 41100010
    Full node 51100010
    Light node28150
    Waku light node210

    Full mesh:

    DescriptionPeersValidInvalid
    Full node 071000120676
    Full node 17100019554
    Full node 251000123304
    Full node 351000111983
    Full node 451000124425
    Full node 551000123472
    Light node2803803
    Waku light node211

    Things to note:

    • Whisper light node with ~10% false positive gets ~10% of total traffic
    • Waku light node gets ~1000x less envelopes than Whisper light node
    • Full mesh results in a lot more duplicate messages, expect for Waku light node

    Run the simulation yourself here. The parameters are configurable, and it is integrated with Prometheus and Grafana.

    Difference between Waku and Whisper​

    Summary of main differences between Waku v0 spec and Whisper v6, as described in EIP-627:

    • Handshake/Status message not compatible with shh/6 nodes; specifying options as association list
    • Include topic-interest in Status handshake
    • Upgradability policy
    • topic-interest packet code
    • RLPx subprotocol is changed from shh/6 to waku/0.
    • Light node capability is added.
    • Optional rate limiting is added.
    • Status packet has following additional parameters: light-node, confirmations-enabled and rate-limits
    • Mail Server and Mail Client functionality is now part of the specification.
    • P2P Message packet contains a list of envelopes instead of a single envelope.

    Next steps and future plans​

    Several challenges remain to make Waku a robust and suitable base communication protocol. Here we outline a few challenges that we are addressing and will continue to work on:

    • scalability of the network
    • incentived infrastructure and spam-resistance
    • build with resource restricted devices in mind, including nodes being mostly offline

    For the third bottleneck, a likely candidate for fixing this is Kademlia routing. This is similar to what is done in Swarm's PSS. We are in the early stages of experimenting with this over libp2p in nim-libp2p. More on this in a future post!

    Acknowledgements​

    Image from "caged sky" by mh.xbhd.org is licensed under CC BY 2.0 (https://ccsearch.creativecommons.org/photos/a9168311-78de-4cb7-a6ad-f92be8361d0e)

    - - + + \ No newline at end of file diff --git a/rlog/waku-v1-v2-bandwidth-comparison/index.html b/rlog/waku-v1-v2-bandwidth-comparison/index.html index f3993d82..f64dce4c 100644 --- a/rlog/waku-v1-v2-bandwidth-comparison/index.html +++ b/rlog/waku-v1-v2-bandwidth-comparison/index.html @@ -10,8 +10,8 @@ - - + +
    @@ -109,7 +109,7 @@ Some questions that we want to answer include:

    • What proportion of Waku v2's bandwidth usage is used to propagate payload versus bandwidth spent on control messaging to maintain the mesh?
    • To what extent is message latency (time until a message is delivered to its destination) affected by network size and message rate?
    • How reliable is message delivery in Waku v2 for different network sizes and message rates?
    • What are the resource usage profiles of other Waku v2 protocols (e.g.12/WAKU2-FILTER and 19/WAKU2-LIGHTPUSH)?

    Our aim is to get ever closer to a "real world" understanding of Waku v2's performance characteristics, identify and fix vulnerabilities and continually improve the efficiency of our suite of protocols.

    References​

    - - + + \ No newline at end of file diff --git a/rlog/waku-v2-ethereum-coscup/index.html b/rlog/waku-v2-ethereum-coscup/index.html index 151c318a..bf9df4d5 100644 --- a/rlog/waku-v2-ethereum-coscup/index.html +++ b/rlog/waku-v2-ethereum-coscup/index.html @@ -10,8 +10,8 @@ - - + +
    @@ -72,7 +72,7 @@ messaging in Ethereum, including for things like WalletConnect.

    I hope this talk gives you a better idea of what Waku is, why it exists, and that it inspires you to contribute, either to Waku itself or by using it in your own project!

    - - + + \ No newline at end of file diff --git a/rlog/waku-v2-ethereum-messaging/index.html b/rlog/waku-v2-ethereum-messaging/index.html index fbbd34b7..a59cb231 100644 --- a/rlog/waku-v2-ethereum-messaging/index.html +++ b/rlog/waku-v2-ethereum-messaging/index.html @@ -10,8 +10,8 @@ - - + +
    @@ -24,7 +24,7 @@ Currently wallets connect ot dapps with centralized service. Great UX.
  • Solve DAO/Multi-Sig coordination problem. E.g. send message to wallet-derived key when it is time to sign a transaction.
  • Extend dapp-to-user and user-to-dapp communication to more dapps. Use lessons learned and examples to drive adoptation for wallets/dapps.

    • And then build up from there.

    10. We are hiring!​

    A lot of this will happen in Javascript and browsers, since that's the primarily environment for a lot of wallets and dapps. We are currently hiring for a Waku JS Wallet integration lead to help push this effort further.

    Come talk to me after or apply here.

    That's it! You can find us on Status, Telegram, vac.dev. I'm on twitter here.

    Questions?

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    @@ -29,7 +29,7 @@

    While we technically could implement this over existing Waku, we'd have to re-implement it, and we'd lose out on all the other benefits libp2p would provide, as well as the ecosystem of people and projects working on improving the scalability and security of these protocols.

    2. Topic sharding​

    This one is slightly more speculative in terms of its ultimate impact. The basic idea is to split the application topic into N shards, say 10, and then each full node can choose which shards to listen to. This can reduce amplification factors by another factor of 10.

    Note that this means a light node that listens to several topics would have to be connected to more full nodes to get connectivity. For a more exotic version of this, see https://forum.vac.dev/t/rfc-topic-propagation-extension-to-libp2p-pubsub/47

    This is orthogonal from the choice of FloodSub or GossipSub, but due to GossipSub's more dynamic nature it is likely best combined with it.

    3. Other factors​

    Not a primary focus, but worth a look. Looking at the scaling model, there might be other easy wins to improve overall bandwidth consumption between full nodes. For example, can we reduce envelope size by a significant factor?

    Track 3 - Accounting and user-run nodes​

    This is where we make sure the network isn't fragile, become a true p2p app, get our users excited and engaged, and allow us to scale the network without creating an even bigger cluster.

    To work in practice, this has a soft dependency on node discovery such as DNS based discovery (https://eips.ethereum.org/EIPS/eip-1459) or Discovery v5 (https://vac.dev/feasibility-discv5).

    1. Adaptive nodes and capabilities​

    We want to make the gradation between light nodes, full nodes, storing (partial set of) historical messages, only acting for a specific shard, etc more flexible and explicit. This is required to identify and discover the nodes you want. See https://github.com/vacp2p/specs/issues/87

    Depending on how the other tracks come together, this design should allow for a desktop node to identify as a full relaying node for some some app topic shard, but also express waku topic interest and retrieve historical messages itself.

    E.g. Disc v5 can be used to supply node properties through ENR.

    2. Accounting​

    This is based on a few principles:

    1. Some nodes contribute a lot more than other nodes in the network
    2. We can account for the difference in contribution in some fashion
    3. We want to incentivize nodes to tell the true, and be incentivized not to lie

    Accounting here is a stepping stone, where accounting is the raw data upon which some settlement later occurs. It can have various forms of granularity. See https://forum.vac.dev/t/accounting-for-resources-in-waku-and-beyond/31 for discussion.

    We also note that in GossipSub, the mesh is bidrectional. Additionally, it doesn't appears to be a high priority issue in terms of nodes misreporting. What is an issue is having people run full nodes in the first place. There are a few points to that. It has to be possible in the end-user UX, nodes have to be discovered, and it has to be profitable/visible that you are contributing. UX and discovery are out of scope for this work, whereas visibility/accounting is part of this scope. Settlement is a stretch goal here.

    The general shape of the solution is inspired by the Swarm model, where we do accounting separate from settlement. It doesn't require any specific proofs, but nodes are incentivized to tell the truth in the following way:

    1. Both full node and light node do accounting in a pairwise, local fashion
    2. If a light node doesn't ultimately pay or lie about reporting, they get disconnected (e.g.)
    3. If a full node doesn't provide its service the light node may pick another full node (e.g.)

    While accounting for individual resource usage is useful, for the ultimate end user experience we can ideally account for other things such as:

    • end to end delivery
    • online time
    • completeness of storage

    This can be gradually enhanced and strengthened, for example with proofs, consistency checks, Quality of Service, reputation systems. See https://discuss.status.im/t/network-incentivisation-first-draft/1037 for one attempt to provide stronger guarantees with periodic consistency checks and a shared fund mechanism. And https://forum.vac.dev/t/incentivized-messaging-using-validity-proofs/51 for using validity proofs and removing liveness requirement for settlement.

    All of this is optional at this stage, because our goal here is to improve the status quo for user run nodes. Accounting at this stage should be visible and correspond to the net benefit a node provides to another.

    As a concrete example: a light node has some topic interest and cares about historical messages on some topic. A full node communicates envelopes as they come in, communicates their high availability (online time) and stores/forward stored messages. Both nodes have this information, and if they agree settlement (initially just a mock message) can be sending a payment to an address at some time interval / over some defined volume. See future sections for how this can be improved upon.

    Also see below in section 4, using constructs such as eigentrust as a local reputation mechanism.

    3. Relax high availability requirement​

    If we want desktop nodes to participate in the storing of historical messages, high availability is a problem. It is a problem for any node, especially if they lie about it, but assuming they are honest it is still an issue.

    By being connected to multiple nodes, we can get an overlapping online window. Then these can be combined together to get consistency. This is obviously experimental and would need to be tested before being deployed, but if it works it'd be very useful.

    Additionally or alternatively, instead of putting a high requirement on message availability, focus on detection of missing information. This likely requires re-thinking how we do data sync / replication.

    4. Incentivize light and full nodes to tell the truth (policy, etc)​

    In accounting phase it is largely assumed nodes are honest. What happens when they lie, and how do we incentivize them to be honest? In the case of Bittorrent this is done with tit-for-tat, however this is a different kind of relationship. What follows are some examples of how this can be done.

    For light nodes:

    • if they don't, they get disconnected
    • prepayment (especially to "high value" nodes)

    For full nodes:

    • multiple nodes reporting to agree, where truth becomes a shelling point
    • use eigentrust
    • staking for discovery visibility with slashing

    5. Settlement PoC​

    Can be done after phase 2 if so desired. Basically integrate payments based on accounting and policy.

    Out of scope​

    1. We assume the Status Base model requirements are accurate.
    2. We assume Core will improve retention rates.
    3. We assume the Stimbus production team will enable integration of nim-waku.
    4. We assume Discovery mechanisms such as DNS and Discovery v5 will be worked on separately.
    5. We assume Core will, at some point, provide an UX for integrating payment of services.
    6. We assume the desktop client is sufficiently usable.
    7. We assume Core and Infra will investigate ways of improving MaxPeers.
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    @@ -22,7 +22,7 @@ ) .lsd-dropdown__trigger:focus .lsd-dropdown__option-label{-webkit-text-decoration:underline;text-decoration:underline;}.lsd-dropdown__label{display:block;}.lsd-dropdown__button-container{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;}.lsd-dropdown__trigger{width:100%;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;border:none;cursor:pointer;background:none;}.lsd-dropdown__trigger:focus{outline:none;}.lsd-dropdown__option-label{cursor:inherit;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;}.lsd-dropdown__icons{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;gap:8px;}.lsd-dropdown__icon{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.lsd-dropdown__supporting-text{margin:6px 14px;}.lsd-dropdown--error .lsd-dropdown__option-label{-webkit-text-decoration:line-through;text-decoration:line-through;}.lsd-dropdown--disabled{opacity:0.34;cursor:initial;}.lsd-dropdown--large{width:208px;}.lsd-dropdown--large.lsd-dropdown--error{width:230px;}.lsd-dropdown--large .lsd-dropdown__label{margin:0 0 6px 18px;}.lsd-dropdown--large .lsd-dropdown__button-container{height:40px;}.lsd-dropdown--large .lsd-dropdown__trigger{padding:10px 0px 10px 18px;}.lsd-dropdown--large .lsd-dropdown__icons{padding:0px 14px;}.lsd-dropdown--medium{width:188px;}.lsd-dropdown--medium.lsd-dropdown--error{width:210px;}.lsd-dropdown--medium .lsd-dropdown__label{margin:0 0 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__button-container{height:32px;}.lsd-dropdown--medium .lsd-dropdown__trigger{padding:6px 0px 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__icons{padding:0px 12px;}.lsd-dropdown--small{width:164px;}.lsd-dropdown--small.lsd-dropdown--error{width:186px;}.lsd-dropdown--small .lsd-dropdown__label{margin:0 0 6px 12px;}.lsd-dropdown--small .lsd-dropdown__button-container{height:28px;}.lsd-dropdown--small .lsd-dropdown__trigger{padding:6px 0px 6px 12px;}.lsd-dropdown--small .lsd-dropdown__icons{padding:0px 10px;}.lsd-dropdown--outlined .lsd-dropdown__button-container{border:1px solid rgb(var(--lsd-border-primary));}.lsd-dropdown--underlined .lsd-dropdown__button-container{border:1px solid transparent;border-bottom:1px solid rgb(var(--lsd-border-primary));}

    Waku v2 Update

    by
    8 min read

    A research log. Read on to find out what is going on with Waku v2, a messaging protocol. What has been happening? What is coming up next?

    It has been a while since the last post. It is time for an update on Waku v2. Aside from getting more familiar with libp2p (specifically nim-libp2p) and some vacation, what have we been up to? In this post we'll talk about what we've gotten done since last time, and briefly talk about immediate next steps and future. But first, a recap.

    Recap​

    In the last post (Waku v2 plan) we explained the rationale of Waku v2 - the current Waku network is fragile and doesn't scale. To solve this, Waku v2 aims to reduce amplification factors and get more user run nodes. We broke the work down into three separate tracks.

    1. Track 1 - Move to libp2p
    2. Track 2 - Better routing
    3. Track 3 - Accounting and user-run nodes

    As well as various rough components for each track. The primary initial focus is track 1. This means things like: moving to FloodSub, simplify the protocol, core integration, topic interest behavior, historical message caching, and Waku v1<>v2 bridge.

    Current state​

    Let's talk about the state of specs and our main implementation nim-waku. Then we'll go over our recent testnet, Nangang, and finish off with a Web PoC.

    Specs​

    After some back and forth on how to best structure things, we ended up breaking down the specs into a few pieces. While Waku v2 is best thought of as a cohesive whole in terms of its capabilities, it is made up of several protocols. Here's a list of the current specs and their status:

    Raw means there is not yet an implementation that corresponds fully to the spec, and draft means there is an implementation that corresponds to the spec. In the interest of space, we won't go into too much detail on the specs here except to note a few things:

    • The relay spec is essentially a thin wrapper on top of PubSub/FloodSub/GossipSub
    • The filter protocol corresponds to previous light client mode in Waku v1
    • The store protocol corresponds to the previous mailserver construct in Waku v1

    The filter and store protocol allow for adaptive nodes, i.e. nodes that have various capabilities. For example, a node being mostly offline, or having limited bandwidth capacity. The bridge spec outlines how to bridge the Waku v1 and v2 networks.

    Implementation​

    The main implementation we are working on is nim-waku. This builds on top of libraries such as nim-libp2p and others that the Nimbus team have been working on as part of their Ethereum 2.0 client.

    Currently nim-waku implements the relay protocol, and is close to implementing filter and store protocol. It also exposes a Nim Node API that allows libraries such as nim-status to use it. Additionally, there is also a rudimentary JSON RPC API for command line scripting.

    Nangang testnet​

    Last week we launched a very rudimentary internal testnet called Nangang. The goal was to test basic connectivity and make sure things work end to end. It didn't have things like: client integration, encryption, bridging, multiple clients, store/filter protocol, or even a real interface. What it did do is allow Waku developers to "chat" via RPC calls and looking in the log output. Doing this meant we exposed and fixed a few blockers, such as connection issues, deployment, topic subscription management, protocol and node integration, and basic scripting/API usage. After this, we felt confident enough to upgrade the main and relay spec to "draft" status.

    Waku Web PoC​

    As a bonus, we wanted to see what it'd take to get Waku running in a browser. This is a very powerful capability that enables a lot of use cases, and something that libp2p enables with its multiple transport support.

    Using the current stack, with nim-waku, would require quite a lot of ground work with WASM, WebRTC, Websockets support etc. Instead, we decided to take a shortcut and hack together a JS implementation called Waku Web Chat. This quick hack wouldn't be possible without the people behind js-libp2p-examples and js-libp2p and all its libraries. These are people like Jacob Heun, Vasco Santos, and Cayman Nava. Thanks!

    It consists of a brower implementation, a NodeJS implementation and a bootstrap server that acts as a signaling server for WebRTC. It is largely a bastardized version of GossipSub, and while it isn't completely to spec, it does allow messages originating from a browser to eventually end up at a nim-waku node, and vice versa. Which is pretty cool.

    Coming up​

    Now that we know what the current state is, what is still missing? what are the next steps?

    Things that are missing​

    While we are getting closer to closing out work for track 1, there are still a few things missing from the initial scope:

    1. Store and filter protocols need to be finished. This means basic spec, implementation, API integration and proven to work in a testnet. All of these are work in progress and expected to be done very soon. Once the store protocol is done in a basic form, it needs further improvements to make it production ready, at least on a spec/basic implementation level.

    2. Core integration was mentioned in scope for track 1 initially. This work has stalled a bit, largely due to organizational bandwidth and priorities. While there is a Nim Node API that in theory is ready to be used, having it be used in e.g. Status desktop or mobile app is a different matter. The team responsible for this at Status (status-nim has been making progress on getting nim-waku v1 integrated, and is expected to look into nim-waku v2 integration soon. One thing that makes this a especially tricky is the difference in interface between Waku v1 and v2, which brings us too...

    3. Companion spec for encryption. As part of simplifying the protocol, the routing is decoupled from the encryption in v2 (1, 2). There are multiple layers of encryption at play here, and we need to figure out a design that makes sense for various use cases (dapps using Waku on their own, Status app, etc).

    4. Bridge implementation. The spec is done and we know how it should work, but it needs to be implemented.

    5. General tightening up of specs and implementation.

    While this might seem like a lot, a lot has been done already, and the majority of the remaining tasks are more amendable to be pursued in parallel with other efforts. It is also worth mentioning that part of track 2 and 3 have been started, in the form of moving to GossipSub (amplification factors) and basics of adaptive nodes (multiple protocols). This is in addition to things like Waku Web which were not part of the initial scope.

    Upcoming​

    Aside from the things mentioned above, what is coming up next? There are a few areas of interest, mentioned in no particular order. For track 2 and 3, see previous post for more details.

    1. Better routing (track 2). While we are already building on top of GossipSub, we still need to explore things like topic sharding in more detail to further reduce amplification factors.

    2. Accounting and user-run nodes (track 3). With store and filter protocol getting ready, we can start to implement accounting and light connection game for incentivization in a bottom up and iterative manner.

    3. Privacy research. Study better and more rigorous privacy guarantees. E.g. how FloodSub/GossipSub behaves for common threat models, and how custom packet format can improve things like unlinkability.

    4. zkSnarks RLN for spam protection and incentivization. We studied this last year and recent developments have made this relevant to study again. Create an experimental spec/PoC as an extension to the relay protocol. Kudos to Barry Whitehat and others like Kobi Gurkan and Koh Wei Jie for pushing this!

    5. Ethereum M2M messaging. Being able to run in the browser opens up a lot of doors, and there is an opportunity here to enable things like a decentralized WalletConnect, multi-sig transactions, voting and similar use cases. This was the original goal of Whisper, and we'd like to deliver on that.

    As you can tell, quite a lot of thing! Luckily, we have two people joining as protocol engineers soon, which will bring much needed support for the current team of ~2-2.5 people. More details to come in further updates.

    If you are feeling adventurous and want to use early stage alpha software, check out the docs. If you want to read the specs, head over to Waku spec. If you want to talk with us, join us on Status or on Telegram (they are bridged).

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    @@ -159,7 +159,7 @@ Further, sending peer lists allows inferring the position of a node within the mesh, and by extension information about the node. Waku v2 already provides some mitigation, because the mesh for transmitting actual messages, and the peer discovery network are separate. To mitigate information leakage by transmitting peer lists, we plan to only reply with lists of peers that nodes do not use in their active meshes.

    References​

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    @@ -22,7 +22,7 @@ ) .lsd-dropdown__trigger:focus .lsd-dropdown__option-label{-webkit-text-decoration:underline;text-decoration:underline;}.lsd-dropdown__label{display:block;}.lsd-dropdown__button-container{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;}.lsd-dropdown__trigger{width:100%;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;border:none;cursor:pointer;background:none;}.lsd-dropdown__trigger:focus{outline:none;}.lsd-dropdown__option-label{cursor:inherit;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;}.lsd-dropdown__icons{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;gap:8px;}.lsd-dropdown__icon{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.lsd-dropdown__supporting-text{margin:6px 14px;}.lsd-dropdown--error .lsd-dropdown__option-label{-webkit-text-decoration:line-through;text-decoration:line-through;}.lsd-dropdown--disabled{opacity:0.34;cursor:initial;}.lsd-dropdown--large{width:208px;}.lsd-dropdown--large.lsd-dropdown--error{width:230px;}.lsd-dropdown--large .lsd-dropdown__label{margin:0 0 6px 18px;}.lsd-dropdown--large .lsd-dropdown__button-container{height:40px;}.lsd-dropdown--large .lsd-dropdown__trigger{padding:10px 0px 10px 18px;}.lsd-dropdown--large .lsd-dropdown__icons{padding:0px 14px;}.lsd-dropdown--medium{width:188px;}.lsd-dropdown--medium.lsd-dropdown--error{width:210px;}.lsd-dropdown--medium .lsd-dropdown__label{margin:0 0 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__button-container{height:32px;}.lsd-dropdown--medium .lsd-dropdown__trigger{padding:6px 0px 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__icons{padding:0px 12px;}.lsd-dropdown--small{width:164px;}.lsd-dropdown--small.lsd-dropdown--error{width:186px;}.lsd-dropdown--small .lsd-dropdown__label{margin:0 0 6px 12px;}.lsd-dropdown--small .lsd-dropdown__button-container{height:28px;}.lsd-dropdown--small .lsd-dropdown__trigger{padding:6px 0px 6px 12px;}.lsd-dropdown--small .lsd-dropdown__icons{padding:0px 10px;}.lsd-dropdown--outlined .lsd-dropdown__button-container{border:1px solid rgb(var(--lsd-border-primary));}.lsd-dropdown--underlined .lsd-dropdown__button-container{border:1px solid transparent;border-bottom:1px solid rgb(var(--lsd-border-primary));}

    Noise handshakes as key-exchange mechanism for Waku

    by
    22 min read

    We provide an overview of the Noise Protocol Framework as a tool to design efficient and secure key-exchange mechanisms in Waku2.

    Introduction​

    In this post we will provide an overview of how Waku v2 users can adopt Noise handshakes to agree on cryptographic keys used to securely encrypt messages.

    This process belongs to the class of key-exchange mechanisms, consisting of all those protocols that, with different levels of complexity and security guarantees, allow two parties to publicly agree on a secret without letting anyone else know what this secret is.

    But why do we need key-exchange mechanisms in the first place?

    With the advent of public-key cryptography, it become possible to decouple encryption from decryption through use of two distinct cryptographic keys: one public, used to encrypt information and that can be made available to anyone, and one private (kept secret), which enables decryption of messages encrypted with its corresponding public key. The same does not happen in the case of symmetric encryption schemes where, instead, the same key is used for both encryption and decryption operations and hence cannot be publicly revealed as for public keys.

    In order to address specific application needs, many different public, symmetric and hybrid cryptographic schemes were designed: Waku v1 and Waku v2, which inherits part of their design from the Ethereum messaging protocol Whisper, provide support to both public-key primitives (ECIES, ECDSA) and symmetric primitives (AES-256-GCM, KECCAK-256), used to sign, hash, encrypt and decrypt exchanged messages.

    In principle, when communications employ public-key based encryption schemes (ECIES, in the case of Waku), there is no need for a key-agreement among parties: messages can be directly encrypted using the recipient's public-key before being sent over the network. However, public-key encryption and decryption primitives are usually very inefficient in processing large amount of data, and this may constitute a bottleneck for many of today's applications. Symmetric encryption schemes such as AES-256-GCM, on the other hand, are much more efficient, but the encryption/decryption key needs to be shared among users beforehand any encrypted messages is exchanged.

    To counter the downsides given by each of these two approaches while taking advantage of their strengths, hybrid constructions were designed. In these, public-key primitives are employed to securely agree on a secret key which, in turn, is used with a symmetric cipher for encrypting messages. In other words, such constructions specify a (public-key based) key-agreement mechanism!

    Waku, up to payload version 1, does not implement nor recommend any protocol for exchanging symmetric ciphers' keys, leaving such task to the application layer. It is important to note that the kind of key-agreement employed has a direct impact on the security properties that can be granted on later encrypted messages, while security requirements usually depend on the specific application for which encryption is needed in the first place.

    In this regard, Status, which builds on top of Waku, implements a custom version of the X3DH key-agreement protocol, in order to allow users to instantiate end-to-end encrypted communication channels. However, although such a solution is optimal when applied to (distributed) E2E encrypted chats, it is not flexible enough to fit or simplify the variety of applications Waku aims to address. Hence, proposing and implementing one or few key-agreements which provide certain (presumably strong) security guarantees, would inevitably degrade performances of all those applications for which, given their security requirements, more tailored and efficient key-exchange mechanisms can be employed.

    Guided by different examples, in the following sections we will overview Noise, a protocol framework we are currently integrating in Waku, for building secure key-agreements between two parties. One of the great advantage of using Noise is that it is possible to add support to new key-exchanges by just specifying users' actions from a predefined list, requiring none to minimal modifications to existing implementations. Furthermore, Noise provides a framework to systematically analyze protocols' security properties and the corresponding attacker threat models. This allows not only to easily design new key-agreements eventually optimized for specific applications we want to address, but also to easily analyze or even formally verify any of such custom protocol!

    We believe that with its enormous flexibility and features, Noise represents a perfect candidate for bringing key-exchange mechanisms in Waku.

    The Diffie-Hellman Key-exchange​

    The formalization of modern public-key cryptography started with the pioneering work of Whitefield Diffie and Martin Hellman, who detailed one of the earliest known key-agreement protocols: the famous Diffie-Hellman Key-Exchange.

    Diffie-Hellman (DH) key-exchange is largely used today and represents the main cryptographic building block on which Noise handshakes' security is based.

    In turn, the security of DH is based on a mathematical problem called discrete logarithm which is believed to be hard when the agreement is practically instantiated using certain elliptic curves EE defined over finite fields Fp\mathbb{F}_p.

    Informally, a DH exchange between Alice and Bob proceeds as follows:

    • Alice picks a secret scalar sA∈Fps_A\in\mathbb{F}_p and computes, using the underlying curve's arithmetic, the point PA=sA⋅P∈E(Fp)P_A = s_A\cdot P\in E(\mathbb{F}_p) for a certain pre-agreed public generator PP of the elliptic curve E(Fp)E(\mathbb{F}_p). She then sends PAP_A to Bob.
    • Similarly, Bob picks a secret scalar sB∈Fps_B\in\mathbb{F}_p, computes PB=sB⋅P∈E(Fp)P_B = s_B\cdot P\in E(\mathbb{F}_p) and sends PBP_B to Alice.
    • By commutativity of scalar multiplication, both Alice and Bob can now compute the point PAB=sAsB⋅PP_{AB} = s_As_B\cdot P, using the elliptic curve point received from the other party and their secret scalar.

    The assumed hardness of computing discrete logarithms in the elliptic curve, ensures that it is not possible to compute sAs_A or sBs_B from PAP_A and PBP_B, respectively. Another security assumption (named Computational Diffie-Hellman assumption) ensures that it is not possible to compute PABP_{AB} from PP, PAP_A and PBP_B. Hence the point PABP_{AB} shared by Alice and Bob at the end of the above protocol cannot be efficiently computed by an attacker intercepting PAP_A and PBP_B, and can then be used to generate a secret to be later employed, for example, as a symmetric encryption key.

    On a side note, this protocol shows the interplay between two components typical to public-key based schemes: the scalars sAs_A and sBs_B can be seen as private keys associated to the public keys PAP_A and PBP_B, respectively, which allow Alice and Bob only to compute the shared secret point PABP_{AB}.

    Ephemeral and Static Public Keys​

    Although we assumed that it is practically impossible for an attacker to compute the randomly picked secret scalar from the corresponding public elliptic curve point, it may happen that such scalar gets compromised or can be guessed due to a faulty employed random number generator. In such cases, an attacker will be able to recover the final shared secret and all encryption keys eventually derived from that, with clear catastrophic consequences for the privacy of exchanged messages.

    To mitigate such issues, multiple DH operations can be combined using two different types of exchanged elliptic curve points or, better, public keys: ephemeral keys, that is random keys used only once in a DH operation, and long-term static keys, used mainly for authentication purposes since employed multiple times.

    Just to provide an example, let us suppose Alice and Bob perform the following custom DH-based key-exchange protocol:

    • Alice generates an ephemeral key EA=eA⋅PE_A=e_A\cdot P by picking a random scalar eAe_A and sends EAE_A to Bob;
    • Similarly, Bob generates an ephemeral key EB=eB⋅PE_B=e_B\cdot P and sends EBE_B to Alice;
    • Alice and Bob computes EAB=eAeB⋅PE_{AB} = e_Ae_B \cdot P and from it derive a secret encryption key kk.
    • Bob sends to Alice his static key SB=sB⋅PS_B = s_B\cdot P encrypted with kk.
    • Alice encrypts with kk her static key SA=sA⋅PS_A = s_A\cdot P and sends it to Bob.
    • Alice and Bob decrypt the received static keys, compute the secret SAB=sAsB⋅PS_{AB} = s_As_B \cdot P and use it together with EABE_{AB} to derive a new encryption key k~\tilde{k} to be later used with a symmetric cipher.

    In this protocol, if Alice's and/or Bob's static keys get compromised, it would not possible to derive the final secret key k~\tilde{k}, since at least one ephemeral key among EAE_A and EBE_B has to be compromised too in order to recover the secret EABE_{AB}. Furthermore, since Alice's and Bob's long-term static keys are encrypted, an attacker intercepting exchanged (encrypted) public keys will not be able to link such communication to Alice or Bob, unless one of the ephemeral key is compromised (and, even in such case, none of the messages encrypted under the key k~\tilde{k} can be decrypted).

    The Noise Protocol Framework​

    In previous section we gave a small intuition on how multiple DH operations over ephemeral and static users' public keys can be combined to create different key-exchange protocols.

    The Noise Protocol Framework, defines various rules for building custom key-exchange protocols while allowing easy analysis of the security properties and threat models provided given the type and order of the DH operations employed.

    In Noise terminology, a key-agreement or Noise protocol consists of one or more Noise handshakes. During a Noise handshake, Alice and Bob exchange multiple (handshake) messages containing their ephemeral keys and/or static keys. These public keys are then used to perform a handshake-dependent sequence of Diffie-Hellman operations, whose results are all hashed into a shared secret key. Similarly as we have seen above, after a handshake is complete, each party will use the derived secret key to send and receive authenticated encrypted data by employing a symmetric cipher.

    Depending on the handshake pattern adopted, different security guarantees can be provided on messages encrypted using a handshake-derived key.

    The Noise handshakes we support in Waku all provide the following security properties:

    • Confidentiality: the adversary should not be able to learn what data is being sent between Alice and Bob.
    • Strong forward secrecy: an active adversary cannot decrypt messages nor infer any information on the employed encryption key, even in the case he has access to Alice's and Bob's long-term private keys (during or after their communication).
    • Authenticity: the adversary should not be able to cause either Alice or Bob to accept messages coming from a party different than their original senders.
    • Integrity: the adversary should not be able to cause Alice or Bob to accept data that has been tampered with.
    • Identity-hiding: once a secure communication channel is established, a passive adversary should not be able to link exchanged encrypted messages to their corresponding sender and recipient by knowing their long-term static keys.

    We refer to Noise specification for more formal security definitions and precise threat models relative to Waku supported Noise Handshake patterns.

    Message patterns​

    Noise handshakes involving DH operations over ephemeral and static keys can be succinctly sketched using the following set of handshake message tokens: e,s,ee,se,es,ss.

    Tokens employing single letters denote (the type of) users' public keys: e refers to randomly generated ephemeral key(s), while s indicates the users' long-term static key(s).

    Two letters tokens, instead, denotes DH operations over the two users' public keys the token refers to, given that the left token letter refers to the handshake initiator's public key, while the right token letter indicates the used responder's public key. Thus, if Alice started a handshake with Bob, the es token will shortly represent a DH operation among Alice's ephemeral key e and Bob's static key s.

    Since, in order to perform any DH operations users need to share (or pre-share) the corresponding public keys, Noise compactly represents messages' exchanges using the two direction -> and <-, where the -> denotes a message (arbitrary and/or DH public key) from the initiator to the responder, while <- the opposite.

    Hence a message pattern consisting of a direction and one or multiple tokens such as <- e, s, es has to be interpreted one token at a time: in this example, the responder is sending his ephemeral and static key to the initiator and is then executing a DH operation over the initiator's ephemeral key e (shared in a previously exchanged message pattern) and his static key s. On the other hand, such message indicates also that the initiator received the responder's ephemeral and static keys e and s, respectively, and performed a DH operation over his ephemeral key and the responder's just received static key s. In this way, both parties will be able to derive at the end of each message pattern processed the same shared secret, which is eventually used to update any derived symmetric encryption keys computed so far.

    In some cases, DH public keys employed in a handshake are pre-shared before the handshake itself starts. In order to chronologically separate exchanged keys and DH operations performed before and during a handshake, Noise employs the ... delimiter.

    For example, the following message patterns

    <- e
    ...
    -> e, ee

    indicates that the initiator knew the responder's ephemeral key before he sends his own ephemeral key and executes a DH operation between both parties ephemeral keys (similarly, the responder receives the initiator's ephemeral key and does a ee DH operation).

    At this point it should be clear how such notation is able to compactly represent a large variety of DH based key-agreements. Nevertheless, we can easily define additional tokens and processing rules in order to address specific applications and security requirements, such as the psk token used to process arbitrary pre-shared key material.

    As an example of Noise flexibility, the custom protocol we detailed above can be shortly represented as (Alice is on the left):

    -> e
    <- e, ee, s
    -> s, ss

    where after each DH operation an encryption key is derived (along with the secrets computed by all previously executed DH operations) in order to encrypt/decrypt any subsequent sent/received message.

    Another example is given by the possibility to replicate within Noise the well established Signal's X3DH key-agreement protocols, thus making the latter a general framework to design and study security of many practical and widespread DH-based key-exchange protocols.

    The Noise State Objects​

    We mentioned multiple times that parties derive an encryption key each time they perform a DH operation, but how does this work in more details?

    Noise defines three state object: a Handshake State, a Symmetric State and a Cipher State, each encapsulated into each other and instantiated during the execution of a handshake.

    The Handshake State object stores the user's and other party's received ephemeral and static keys (if any) and embeds a Symmetric State object.

    The Symmetric State, instead, stores a handshake hash value h, iteratively updated with any message read/received and DH secret computed, and a chaining key ck, updated using a key derivation function every time a DH secret is computed. This object further embeds a Cipher State.

    Lastly, the Cipher State stores a symmetric encryption k key and a counter n used to encrypt and decrypt messages exchanged during the handshake (not only static keys, but also arbitrary payloads). These key and counter are refreshed every time the chaining key is updated.

    While processing each handshake's message pattern token, all these objects are updated according to some specific processing rules which employ a combination of public-key primitives, hash and key-derivation functions and symmetric ciphers. It is important to note, however, that at the end of each processed message pattern, the two users will share the same Symmetric and Cipher State embedded in their respective Handshake States.

    Once a handshake is complete, users derive two new Cipher States and can then discard the Handshake State object (and, thus, the embedded Symmetric State and Cipher State objects) employed during the handshake.

    These two Cipher states are used to encrypt and decrypt all outbound and inbound after-handshake messages, respectively, and only to these will be granted the confidentiality, authenticity, integrity and identity-hiding properties we detailed above.

    For more details on processing rules, we refer to Noise specifications.

    Supported Noise Handshakes in Waku​

    The Noise handshakes we provided support to in Waku address four typical scenarios occurring when an encrypted communication channel between Alice and Bob is going to be created:

    • Alice and Bob know each others' static key.
    • Alice knows Bob's static key;
    • Alice and Bob share no key material and they don't know each others' static key.
    • Alice and Bob share some key material, but they don't know each others' static key.

    The possibility to have handshakes based on the reciprocal knowledge parties have of each other, allows designing Noise handshakes that can quickly reach the desired level of security on exchanged encrypted messages while keeping the number of interactions between Alice and Bob minimum.

    Nonetheless, due to the pure token-based nature of handshake processing rules, implementations can easily add support to any custom handshake pattern with minor modifications, in case more specific application use-cases need to be addressed.

    On a side note, we already mentioned that identity-hiding properties can be guaranteed against a passive attacker that only reads the communication occurring between Alice and Bob. However, an active attacker who compromised one party's static key and actively interferes with the parties' exchanged messages, may lower the identity-hiding security guarantees provided by some handshake patterns. In our security model we exclude such adversary, but, for completeness, in the following we report a summary of possible de-anonymization attacks that can be performed by such an active attacker.

    For more details on supported handshakes and on how these are implemented in Waku, we refer to 35/WAKU2-NOISE RFC.

    The K1K1 Handshake​

    If Alice and Bob know each others' static key (e.g., these are public or were already exchanged in a previous handshake) , they MAY execute a K1K1 handshake. In Noise notation (Alice is on the left) this can be sketched as:

     K1K1:
        ->  s
        <-  s
           ...
        ->  e
        <-  e, ee, es
        ->  se

    We note that here only ephemeral keys are exchanged. This handshake is useful in case Alice needs to instantiate a new separate encrypted communication channel with Bob, e.g. opening multiple parallel connections, file transfers, etc.

    Security considerations on identity-hiding (active attacker): no static key is transmitted, but an active attacker impersonating Alice can check candidates for Bob's static key.

    The XK1 Handshake​

    Here, Alice knows how to initiate a communication with Bob and she knows his public static key: such discovery can be achieved, for example, through a publicly accessible register of users' static keys, smart contracts, or through a previous public/private advertisement of Bob's static key.

    A Noise handshake pattern that suits this scenario is XK1:

     XK1:
        <-  s
           ...
        ->  e
        <-  e, ee, es
        ->  s, se

    Within this handshake, Alice and Bob reciprocally authenticate their static keys s using ephemeral keys e. We note that while Bob's static key is assumed to be known to Alice (and hence is not transmitted), Alice's static key is sent to Bob encrypted with a key derived from both parties ephemeral keys and Bob's static key.

    Security considerations on identity-hiding (active attacker): Alice's static key is encrypted with forward secrecy to an authenticated party. An active attacker initiating the handshake can check candidates for Bob's static key against recorded/accepted exchanged handshake messages.

    The XX and XXpsk0 Handshakes​

    If Alice is not aware of any static key belonging to Bob (and neither Bob knows anything about Alice), she can execute an XX handshake, where each party tranXmits to the other its own static key.

    The handshake goes as follows:

     XX:
        ->  e
        <-  e, ee, s, es
        ->  s, se

    We note that the main difference with XK1 is that in second step Bob sends to Alice his own static key encrypted with a key obtained from an ephemeral-ephemeral Diffie-Hellman exchange.

    This handshake can be slightly changed in case both Alice and Bob pre-shares some secret psk which can be used to strengthen their mutual authentication during the handshake execution. One of the resulting protocol, called XXpsk0, goes as follow:

     XXpsk0:
        ->  psk, e
        <-  e, ee, s, es
        ->  s, se

    The main difference with XX is that Alice's and Bob's static keys, when transmitted, would be encrypted with a key derived from psk as well.

    Security considerations on identity-hiding (active attacker): Alice's static key is encrypted with forward secrecy to an authenticated party for both XX and XXpsk0 handshakes. In XX, Bob's static key is encrypted with forward secrecy but is transmitted to a non-authenticated user which can then be an active attacker. In XXpsk0, instead, Bob's secret key is protected by forward secrecy to a partially authenticated party (through the pre-shared secret psk but not through any static key), provided that psk was not previously compromised (in such case identity-hiding properties provided by the XX handshake applies).

    Session Management and Multi-Device Support​

    When two users complete a Noise handshake, an encryption/decryption session - or Noise session - consisting of two Cipher States is instantiated.

    By identifying Noise session with a session-id derived from the handshake's cryptographic material, we can take advantage of the PubSub/GossipSub protocols used by Waku for relaying messages in order to manage instantiated Noise sessions.

    The core idea is to exchange after-handshake messages (encrypted with a Cipher State specific to the Noise session), over a content topic derived from the (secret) session-id the corresponding session refers to.

    This allows to decouple the handshaking phase from the actual encrypted communication, thus improving users' identity-hiding capabilities.

    Furthermore, by publicly revealing a value derived from session-id on the corresponding session content topic, a Noise session can be marked as stale, enabling peers to save resources by discarding any eventually stored message sent to such content topic.

    One relevant aspect in today's applications is the possibility for users to employ different devices in their communications. In some cases, this is non-trivial to achieve since, for example, encrypted messages might be required to be synced on different devices which do not necessarily share the necessary key material for decryption and may be temporarily offline.

    We address this by requiring each user's device to instantiate multiple Noise sessions either with all user's other devices which, in turn, all together share a Noise session with the other party, or by directly instantiating a Noise session with all other party's devices.

    We named these two approaches N11MN11M and NMNM, respectively, which are in turn loosely based on the paper “Multi-Device for Signal” and Signal’s Sesame Algorithm.

    Informally, in the N11MN11M session management scheme, once the first Noise session between any of Alice’s and Bob’s device is instantiated, its session information is securely propagated to all other devices using previously instantiated Noise sessions. Hence, all devices are able to send and receive new messages on the content topic associated to such session.

    In the NMNM session management scheme, instead, all pairs of Alice's and Bob's devices have a distinct Noise session: a message is then sent from the currently-in-use sender’s device to all recipient’s devices, by properly encrypting and sending it to the content topics of each corresponding Noise session. If sent messages should be available on all sender’s devices as well, we require each pair of sender’s devices to instantiate a Noise session used for syncing purposes.

    For more technical details on how Noise sessions are instantiated and managed within these two mechanisms and the different trade-offs provided by the latter, we refer to 37/WAKU2-NOISE-SESSIONS.

    Conclusions​

    In this post we provided an overview of Noise, a protocol framework for designing Diffie-Hellman based key-exchange mechanisms allowing systematic security and threat model analysis.

    The flexibility provided by Noise components allows not only to fully replicate with same security guarantees well established key-exchange primitives such as X3DH, currently employed by Status 5/TRANSPORT-SECURITY, but enables also optimizations based on the reciprocal knowledge parties have of each other while allowing easier protocols' security analysis and (formal) verification.

    Furthermore, different handshakes can be combined and executed one after each other, a particularly useful feature to authenticate multiple static keys employed by different applications but also to ease keys revocation.

    The possibility to manage Noise sessions over multiple devices and the fact that handshakes can be concretely instantiated using modern, fast and secure cryptographic primitives such as ChaChaPoly and BLAKE2b, make Noise one of the best candidates for efficiently and securely address the many different needs of applications built on top of Waku requiring key-agreement.

    Future steps​

    The available implementation of Noise in nwaku, although mostly complete, is still in its testing phase. As future steps we would like to:

    • have an extensively tested and robust Noise implementation;
    • formalize, implement and test performances of the two proposed N11MN11M and NMNM session management mechanisms and their suitability for common use-case scenarios;
    • provide Waku network nodes a native protocol to readily support key-exchanges, strongly-encrypted communication and multi-device session management mechanisms with none-to-little interaction besides applications' connection requests.

    References​

    - - + + \ No newline at end of file diff --git a/rlog/wakuv2-relay-anon/index.html b/rlog/wakuv2-relay-anon/index.html index 534573d7..6530a28f 100644 --- a/rlog/wakuv2-relay-anon/index.html +++ b/rlog/wakuv2-relay-anon/index.html @@ -10,8 +10,8 @@ - - + +
    @@ -146,7 +146,7 @@ These protocols comprise

    • 13/WAKU2-STORE, which can violate receiver anonymity as it allows filtering by content topic. A countermeasure is using the content topic exclusively for local filters.
    • 12/WAKU2-FILTER, which discloses nodes' interest in topics;
    • 19/WAKU2-LIGHTPUSH, which also discloses nodes' interest in topics and links the lightpush client as the sender of a message to the lightpush service node;
    • 21/WAKU2-FTSTORE, which discloses nodes' interest in specific time ranges allowing to infer information like online times.

    While these protocols are not necessary for the operation of Waku v2, and can be seen as pluggable features, we aim to provide alternatives without the cost of lowering the anonymity level.

    References​

    - - + + \ No newline at end of file diff --git a/rlog/wechat-replacement-need/index.html b/rlog/wechat-replacement-need/index.html index f098d8c7..c1d5ad23 100644 --- a/rlog/wechat-replacement-need/index.html +++ b/rlog/wechat-replacement-need/index.html @@ -10,8 +10,8 @@ - - + +
    @@ -20,7 +20,7 @@ ) .lsd-dropdown__trigger:hover .lsd-dropdown__option-label,.lsd-dropdown:not(.lsd-dropdown--disabled):not( .lsd-dropdown--error ) .lsd-dropdown__trigger:focus .lsd-dropdown__option-label{-webkit-text-decoration:underline;text-decoration:underline;}.lsd-dropdown__label{display:block;}.lsd-dropdown__button-container{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;}.lsd-dropdown__trigger{width:100%;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;border:none;cursor:pointer;background:none;}.lsd-dropdown__trigger:focus{outline:none;}.lsd-dropdown__option-label{cursor:inherit;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;}.lsd-dropdown__icons{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;gap:8px;}.lsd-dropdown__icon{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.lsd-dropdown__supporting-text{margin:6px 14px;}.lsd-dropdown--error .lsd-dropdown__option-label{-webkit-text-decoration:line-through;text-decoration:line-through;}.lsd-dropdown--disabled{opacity:0.34;cursor:initial;}.lsd-dropdown--large{width:208px;}.lsd-dropdown--large.lsd-dropdown--error{width:230px;}.lsd-dropdown--large .lsd-dropdown__label{margin:0 0 6px 18px;}.lsd-dropdown--large .lsd-dropdown__button-container{height:40px;}.lsd-dropdown--large .lsd-dropdown__trigger{padding:10px 0px 10px 18px;}.lsd-dropdown--large .lsd-dropdown__icons{padding:0px 14px;}.lsd-dropdown--medium{width:188px;}.lsd-dropdown--medium.lsd-dropdown--error{width:210px;}.lsd-dropdown--medium .lsd-dropdown__label{margin:0 0 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__button-container{height:32px;}.lsd-dropdown--medium .lsd-dropdown__trigger{padding:6px 0px 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__icons{padding:0px 12px;}.lsd-dropdown--small{width:164px;}.lsd-dropdown--small.lsd-dropdown--error{width:186px;}.lsd-dropdown--small .lsd-dropdown__label{margin:0 0 6px 12px;}.lsd-dropdown--small .lsd-dropdown__button-container{height:28px;}.lsd-dropdown--small .lsd-dropdown__trigger{padding:6px 0px 6px 12px;}.lsd-dropdown--small .lsd-dropdown__icons{padding:0px 10px;}.lsd-dropdown--outlined .lsd-dropdown__button-container{border:1px solid rgb(var(--lsd-border-primary));}.lsd-dropdown--underlined .lsd-dropdown__button-container{border:1px solid transparent;border-bottom:1px solid rgb(var(--lsd-border-primary));}

    What Would a WeChat Replacement Need?

    by
    26 min read

    What would a self-sovereign, private, censorship-resistant and open alternative to WeChat look like?

    What would it take to replace WeChat? More specifically, what would a self-sovereign, private, censorship-resistant and open alternative look like? One that allows people to communicate, coordinate and transact freely.

    Background​

    What WeChat provides to the end-user​

    Let's first look at some of the things that WeChat providers. It is a lot:

    • Messaging: 1:1 and group chat. Text, as well as voice and video. Post gifs. Share location.
    • Group chat: Limited to 500 people; above 100 people people need to verify with a bank account. Also has group video chat and QR code to join a group.
    • Timeline/Moments: Post comments with attachments and have people like/comment on it.
    • Location Discovery: See WeChat users that are nearby.
    • Profile: Nickname and profile picture; can alias people.
    • "Broadcast" messages: Send one message to many contacts, up to 200 people (spam limited).
    • Contacts: Max 5000 contacts (people get around it with multiple accounts and sim cards).
    • App reach: Many diferent web apps, extensions, native apps, etc. Scan QR code to access web app from phone.
    • Selective posting: Decide who can view your posts and who can view your comments on other people's post.
    • Transact: Send money gifts through red envelopes.
    • Transact: Use WeChat pay to transfer money to friends and businesses; linked account with Alipay that is connected to your bank account.
    • Services: Find taxis and get notifications; book flights, train tickets, hotels etc.
    • Mini apps: API for all kinds of apps that allow you to provide services etc.
    • Picture in picture: allowing you to have a video call while using the app.

    And much more. Not going to through it all in detail, and there are probably many things I don't know about WeChat since I'm not a heavy user living in mainland China.

    How WeChat works - a toy model​

    This is an overly simplistic model of how WeChat works, but it is sufficient for our purposes. This general design applies to most traditional client-server apps today.

    To sign up for account you need a phone number or equivalent. To get access to some features you need to verify your identity further, for example with official ID and/or bank account.

    When you signup this creates an entry in the WeChat server, from now on treated as a black box. You authenticate with that box, and thats where you get your messages from. If you go online the app asks that box for messages you have received while you were offline. If you login from a different app your contacts and conversations are synced from that box.

    The box gives you an account, it deals with routing to your contacts, it stores messages and attachments and gives access to mini apps that people have uploaded. For transacting money, there is a partnership with a different company that has a different box which talks to your bank account.

    This is done in a such a way that they can support a billion users with the features above, no sweat.

    Whoever controls that box can sees who you are talking with and what the content of those messages are. There is no end to end encryption. If WeChat/Tencent disagrees with you for some reason they can ban you. This means you can't interact with the box under that name anymore.

    What do we want?​

    We want something that is self-sovereign, private, censorship-resistant and open that allows individuals and groups of people to communicate and transact freely. To explore what this means in more detail, without getting lost in the weeds, we provide the following list of properties. A lot of these are tied together, and some fall out of the other requirements. Some of them stand in slight opposition to each other.

    Self-sovereignity identity. Exercises authority within your own sphere. If you aren't harming anyone, you should be able to have an account and communicate with other people.

    Pseudonymity, and ideally total anonymity. Not having your identity tied to your real name (e.g. through phone number, bank account, ID, etc). This allows people to act more freely without being overly worried about censorship and coercion in the real world. While total anonymity is even more desirable - especially to break multiple hops to a true-name action - real-world constraints sometimes makes this more challenging.

    Private and secure communication. Your communication and who you transact with should be for your eyes only. This includes transactions (transfer of value) as a form of communication.

    Censorship-resistance. Not being able to easily censor individuals on the platform. Both at an individual, group and collective level. Not having single points of failure that allow service to be disrupted.

    Decentralization. Partly falls out of censorship-resistance and other properties. If infrastructure isn't decentralized it means there's a single point of failure that can be disrupted. This is more of a tool than a goal on its own, but it is an important tool.

    Built for mass adoption. Includes scalabiltiy, UX (latency, reliability, bandwidth consumption, UI etc), and allowing for people to stick around. One way of doing this is to allow users to discover people they want to talk to.

    Scalability. Infrastructure needs to support a lot of users to be a viabile alternative. Like, a billion of them (eventually).

    Fundamentals in place to support great user experience. To be a viable alternative, aside from good UI and distribution, fundamentals such as latency, bandwidth usage, consistency etc must support great UX to be a viable alternative.

    Works for resource restricted devices, including smartphones. Most people will use a smartphone to use this. This means it has to work well on them and similar devices, without becoming a second-class citizen where we ignore properties such as censorship-resistance and privacy. Some concession to reality will be necessary due to additional constraints, which leads us to...

    Adaptive nodes. Nodes will have different capabilities, and perhaps at different times. To maintain a lot of the properties described here it is desirable if as many participants as possible are first-class citizens. If a phone is switching from a limited data plan to a WiFi network or from battery to AC power it can do more useful work, and so on. Likewise for a laptop with a lot of free disk space and spare compute power, etc.

    Sustainable. If there's no centralized, top down ad-driven model, this means all the infrastructure has to be sustainable somehow. Since these are individual entitites, this means it has to be paid for. While altruistic modes and similar can be used, this likely requires some form of incentivization scheme for useful services provided in the network. Related: free rider problem.

    Spam resistant. Relates to sustainability, scalability and built for mass adoption. Made more difficult by pseudonymous identity due to whitewashing attacks.

    Trust-minimized. To know that properties are provided for and aren't compromised, various ways of minimizing trust requirements are useful. This also related to mass adoption and social cohesion. Examples include: open and audited protocols, open source, reproducible builds, etc. This also relates to how mini apps are provided for, since we may not know their source but want to be able to use them anyway.

    Open source. Related to above, where we must be able to inspect the software to know that it functions as advertised and hasn't been compromised, e.g. by uploading private data to a third party.

    Some of these are graded and a bit subtle, i.e.:

    • Censorship resistance would ideally be able to absorb Internet shutdowns. This would require an extensive MANET/meshnet infrastructure, which while desirable, requires a lot of challenges to be overcome to be feasible.
    • Privacy would ideally make all actions (optionally) totally anoymous, though this may incur undue costs on bandwidth and latency, which impacts user experience.
    • Decentralization, certain topologies, such as DHTs, are efficient and quite decentralized but still have some centralized aspects, which makes it attackable in various ways. Ditto for blockchains compared with bearer instruments which requires some coordinating infrastructure, compared with naturally occuring assets such as precious metals.
    • "Discover people" and striving for "total anonymity" might initially seem incompatible. The idea is to provide for sane defaults, and then allow people to decide how much information they want to disclose. This is the essence of privacy.
    • Users often want some form of moderation to get a good user experience, which can be seen as a form of censorship. The idea to raise the bar on the basics, the fundamental infrastructure. If individuals or specific communities want certain moderation mechanisms, that is still a compatible requirement.

    Counterpoint 1​

    We could refute the above by saying that the design goals are undesirable. We want a system where people can censor others, and where everyone is tied to their real identity. Or we could say something like, freedom of speech is a general concept, and it doesn't apply to Internet companies, even if they provide a vital service. You can survive without it and you should've read the terms of service. This roughly charactericizes the mainstream view.

    Additional factor here is the idea that a group of people know more about what's good for you then you do, so they are protecting you.

    Counterpoint 2​

    We could agree with all these design goals, but think they are too extreme in terms of their requirements. For example, we could operate as a non profit, take donations and volunteers, and then host the whole infrastructure ourselves. We could say we are in a friendly legislation, so we won't be a single point of failure. Since we are working on this and maybe even our designs are open, you can trust us and we'll provide service and infrastructure that gives you what you want without having to pay for it or solve all these complex decentralized computation and so on problems. If you don't trust us for some reason, you shouldn't use us regardless. Also, this is better than status quo. And we are more likely to survive by doing this, either by taking shortcuts or by being less ambituous in terms of scope.

    Principal components​

    There are many ways to skin a cat, but this is one way of breaking down the problem. We have a general direction with the properties listed above, together with some understanding of how WeChat works for the everday user. Now the question is, what infrastructure do we need to support this? How do we achieve the above properties, or at least get closer to them? We want to figure out the necessary building blocks, and one of doing this is to map out likely necessary components.

    Background: Ethereum and Web3 stack​

    It is worth noting that a lot of the required infrastructure has been developed, at least as concepts, in the original Ethereum / Web3 vision. In it there is Ethereum for consensus/compute/transact, storage through Swarm, and communication through Whisper. That said, the main focus has been on the Ethereum blockchain itself, and a lot of things have happened in the last 5y+ with respect to technology around privacy and scalabilty. It is worth revisiting things from a fresh point of view, with the WeChat alternative in mind as a clear use case.

    Account - self-sovereign identity and the perils of phone numbers​

    Starting from the most basic: what is an account and how do you get one? With most internet services today, WeChat and almost all popular messaging apps included, you need to signup with some centralized authority. Usually you also have to verify this with some data that ties this account to you as an individual. E.g. by requiring a phone number, which in most jurisdictions 1 means giving out your real ID. This also means you can be banned from using the service by a somewhat arbitrary process, with no due process.

    Now, we could argue these app providers can do what they want. And they are right, in a very narrow sense. As apps like WeChat (and Google) become general-purpose platforms, they become more and more ingrained in our everyday lives. They start to provide utilities that we absolutely require to work to go about our day, such as paying for food or transportation. This means we need higher standard than this.

    Justifications for requiring phone numbers are usually centered around three claims:

    1. Avoiding spam
    2. Tying your account to your real name, for various reasons
    3. Using as a commonly shared identifier as a social network discovery mechanism

    Of course, many services require more than phone numbers. E.g. email, other forms of personal data such as voice recording, linking a bank account, and so on.

    In contrast, a self-sovereign system would allow you to "create an account" completely on your own. This can easily be done with public key cryptograpy, and it also paves the way for end-to-end encryption to make your messages private.

    The main issue with this that you need to get more creative about avoiding spam (e.g. through white washing attacks), and ideally there is some other form of social discovery mechanism.

    Just having a public key as an account isn't enough though. If it goes through a central server, then nothing is stopping that server from arbitrarly blocking requests related to that public key. Of course, this also depends on how transparent such requests are. Fundamentally, lest we rely completely on goodwill, there needs to be multiple actors by which you can use the service. This naturally points to decentralization as a requirement. See counterpoint.

    Even so, if the system is closed source we don't know what it is doing. Perhaps the app communicating is also uploading data to another place, or somehow making it possible to see who is who and act accordingly.

    You might notice that just one simple property, self-sovereign identity, leads to a slew of other requirements and properties. You might also notice that WeChat is far from alone in this, even if their identity requirements might be a bit stringent than, say, Telegram. Their control aspects are also a bit more extreme, at least for someone with western sensibilities 2.

    Most user facing applications have similar issues, Google Apps/FB/Twitter etc. For popular tools that have this built in, we can look at git - which is truly decentralized and have keypair at the bottom. It is for a very specific technical domain, and even then people rely on Github. Key management is fairly difficult even for technical people, and for normal people even more so. Banks are generally far behind on this tech, relying on arcane procedures and special purpose hardware for 2FA. That's another big issue.

    Let's shift gears a bit and talk about some other functional requirements.

    Routing - packets from A to B​

    In order to get a lot of the features WeChat provides, we need the ability to do three things: communicate, store data, and transact with people. We need a bit more than that, but let's focus on this for now.

    To communicate with people, in the base case, we need to go from one phone to another phone that is separated by a large distance. This requires some form of routing. The most natural platform to build this on is the existing Internet, though not the only one. Most phones are resource restricted, and are only "on" for brief periods of time. This is needed to preserve battery and bandwidth. Additionally, Internet uses IPs as endpoints, which change as a phones move through space. NAT punching etc isn't always perfect either. This means we need a way to get a message from one public key to another, and through some intermediate nodes. We can think of these nodes as a form of service network. Similar to how a power grid works, or phone lines, or collection of ISPs.

    One important property here is to ensure we don't end up in a situation like the centralized capture scenario above, something we've seen with centralized ISPs 3 4 where they can choose which traffic is good and which is bad. We want to allow the use of different service nodes, just like if a restaurant gives you food poisioning you can go to the one next door and then the first one goes out of business after a while. And the circle of life continues.

    We shouldn't be naive though, and think that this is something nodes are likely to do for free. They need to be adequately compensated for their services, in some of incentivization scheme. That can either be monetary, or as in the case of Bittorrent, more of a barter situation where you use game theory to coordinate with strangers 5, and some form of reputation attached to it (for private trackers).

    There are many ways of doing routing, and we won't go into too much technical detail here. Suffice to say is that you likely want both a structured and unstructured alternative, and that these comes with several trade-offs when it comes to efficiency, metadata protection, ability to incentivize, compatibility with existing topologies, and suitability for mobilephones (mostly offline, bandwidth restricted, not directly connectable). Expect more on this in a future article.

    Some of these considerations naturally leads us into the storage and transaction components.

    Storage - available and persistant for later​

    If mobile phones are mostly offline, we need some way to store these messages so they can be retrieved when online again. The same goes for various kinds attachments as well, and for when people are switching devices. A user might control their timeline, but in the WeChat case that timeline is stored on Tencent's servers, and queried from there as well. This naturally needs to happen by some other service nodes. In the WeChat case, and for most IMs, the way these servers are paid for is through some indirect ad mechanism. The entity controlling these ads and so on is the same one as the one operating the servers for storage. A more direct model with different entities would see these services being compensated for their work.

    We also need storage for attachments, mini-apps, as well as a way of understanding the current state of consensus when it comes to the compute/transact module. In the WeChat case, this state is completely handled by the bank institution or one of their partners, such as Alibaba. When it comes to bearer instruments like cash, no state needs to be kept as that's a direct exchange in the physical world. This isn't directly compatible with transfering value over a distance.

    All of this state requires availability and persistance. It should be done in a trust minimized fashion and decentralized, which requires some form of incentivization for keeping data around. If it isn't, you are relying on social cohesion which breaks down at very large scales.

    Since data will be spread out across multiple nodes, you need a way to sync data and transfer it in the network. As well as being able to add and query data from it. All of this requires a routing component.

    To make it more censorship resistant it might be better to keep it as a general-purpose store, i.e. individuals don't need to know what they storing. Otherwise, you naturally end up in a situation where individual nodes can be pressured to not store certain content.

    Messaging - from me to you to all of us (not them)​

    This builds on top of routing, but it has a slightly different focus. The goal is to allow for individuals and groups to communicate in a private, secure and censorship-resistant manner.

    It also needs to provide a decent interface to the end user, in terms of dealing seamlessly with offline messages, providing reliable and timely messaging.

    In order to get closer to the ideal of total anonymity, it is useful to be able to hide metadata of who is talking to whom. This applies to both normal communication as well as for transactions. Ideally, no one but the parties involved can see who is taking part in a conversation. This can be achieved through various techniques such as mixnets, anonymous credentials, private information retrieval, and so on. Many of these techniques have a fundamental trade-off with latency and bandwidth, something that is a big concern for mobilephones. Being able to do some form of tuning, in an adaptive node manner, depending on your threat model and current capabilities is useful here.

    The baseline here is pseudonymity, and having tools to allow individuals to "cut off" ties to their real world identity and transactions. People act different in different circles in the real world, and this should be mimicked online as well. Your company, family or government shouldn't be able to know what exactly you use your paycheck for, and who you are talking to.

    Compute - transact, contract and settle​

    The most immediate need here is transaction from A to B. Direct exchange. There is also a more indirect need for private lawmaking and contracting.

    We talked about routing and storage and how they likely need to be incentivized to work properly. How are they going to be compensated? While this could in theory work via existing banking system and so on, this would be rather heavy. It'd also very likely require tying your identifier to your legal name, something that goes against what we want to achieve. What we want is something that acts more as right-to-access, similar to the way cash functions in a society 6. I pay for a fruit with something that is valuable to you and then I'm on my way.

    While there might be other candidates, such as pre-paid debit cards and so on, this transaction mode pretty much requires a cryptocurrency component. The alternative is to do it on a reputation basis, which might work for small communities, due to social cohesion, but quickly detoriates for large ones 7. Ad hoc models like private Bittorrent trackers are centralized and easy to censor.

    Now, none of the existing cryptocurrency models are ideal. They also all suffer from lack of widespread use, and it is difficult to get onboarded to them in the first place. Transactions in Bitcoin are slow. Ethereum is faster and has more capabilities, but it still suffers from linking payments over time, which makes the privacy part of this more difficult. Zcash, Monero and similar are interesting, but also require more use. For Zcash, shielded transactions appear to only account for less than 2% of all transactions in 2019 8 9.

    Another dimension is what sets general purpose cryptocurrencies like Ethereum apart. Aside from just paying from A to B, you can encode rules about when something should be paid out and not. This is very useful for doing a form of private lawmaking, contracting, for setting up service agreements with these nodes. If there's no trivial recourse as in the meatspace world, where you know someone's name and you can sue them, you need a different kind of model.

    What makes something like Zcash interesting is that it works more like digital cash. Instead of leaving a public trail for everyone, where someone can see where you got the initial money from and then trace you across various usage, for Zcash every hop is privacy preserving.

    To fulfill the general goals of being censorship resistance and secure, it is also vital that the system being used stays online and can't be easily disrupted. That points to disintermediation, as opposed to using gateways and exchanges. This is a case where something like cash, or gold, is more direct, since no one can censor this transaction without being physically present where this direct exchange is taking place. However, like before, this doesn't work over distance.

    Secure chat - just our business​

    Similar to the messaging module above. The distinction here is that we assume the network part has already taken place. Here we are interested in keeping the contents of messages private, so that means confidentiality/end-to-end encryption, integrity, authentication, as well as forward secrecy and plausible deniability. This means that even if there's some actor that gets some private key material, or confiscated your phone, there is some level of...ephemerality to your conversations. Another issue here in terms of scalable private group chat.

    Extensible mini apps​

    This relates to the compute and storage module above. Essentially we want to provide mini apps as in WeChat, but to do so in a way that is compatible with what we want to achieve more generally. This allows individuals and small businesses to create small tools for various purposes, and coordinate with strangers. E.g. booking a cab or getting an insurance, and so on.

    This has a higher dependency on the contracting/general computation aspect. I.e. often it isn't only a transaction, but you might want to encode some specific rules here that strangers can abide by without having too high trust requirements. As a simple example: escrows.

    This also needs an open API that anyone can use. It should be properly secured, so using one doesn't compromise the rest of the system it is operating in. To be censorship resistant it requires the routing and storage component to work properly.

    Where are we now?​

    Let's look back at some of desirable properties we set out in the beginning and see how close we are to building out the necessary components. Is it realistic at all or just a pipe dream? We'll see that there are many building blocks in place, and there's reason for hope.

    Self-sovereignity identity. Public key crypto and web of trust like constructs makes this possible.

    Pseudonymity, and ideally total anonymity. Pseudonymity can largely be achieved with public key crypto and open systems that allow for permissionless participation. For transactions, pseudonymity exists in most cryptocurrencies. The challenge is linkage across time, especially when interfacing with other "legacy" system. There are stronger constructs that are actively being worked on and are promising here, such as mixnets (Nym), mixers (Wasabi Wallet, Tornado.Cash) and zero knowledge proofs (Zcash, Ethereum, Starkware). This area of applied research has exploded over the last few years.

    Private and secure communication. Signal has pioneered a lot of this, following OTR. Double Ratchet, X3DH. E2EE is minimum these days, and properties like PFS and PD are getting better. For metadata protection, you have Tor, with its faults, and more active research on mixnets and private information retrieval, etc.

    Censorship-resistance. This covers a lot of ground across the spectrum. You have technologies like Bittorrent, Bitcoin/Ethereum, Tor obfuscated transports, E2EE by default, partial mesh networks in production, abilit to move/replicate host machines more quickly have all made this more of a reality than it used to be. this easier. Of course, techniques such as deep packet inspection and internet shutdowns have increased.

    Decentralization. Cryptocurrencies, projects like libp2p and IPFS. Need to be mindful here of many projects that claim decentralization but are still vulnerable to single points of failures, such as relying on gateways.

    Built for mass adoption. This one is more subjective. There's definitely a lot of work to be done here, both when it comes to fundamental performance, key management and things like social discoverability. Directionally these things are improving and becoming easier for the average person but there is a lot ot be done here.

    Scalability. With projects like Ethereum 2.0 and IPFS more and more resources are a being put into this, both at the consensus/compute layer as well as networking (gossip, scalable Kademlia) layer. Also various layer 2 solutions for transactions.

    Fundamentals in place to support great user experience. Similar to built for mass adoption. As scalability becomes more important, more applied research is being done in the p2p area to improve things like latency, bandwidth.

    Works for resource restricted devices, including smartphones. Work in progress and not enough focus here, generally an after thought. Also have stateless clients etc.

    Adaptive nodes. See above. With subprotocols and capabilities in Ethereum and libp2p, this is getting easier.

    Sustainable. Token economics is a thing. While a lot of it won't stay around, there are many more projects working on making themselves dispensable. Being open source, having an engaged community and enabling users run their own infrastructure. Users as stakeholders.

    Spam resistant. Tricky problem if you want to be pseudonymous, but some signs of hope with incentivization mechanisms, zero knowledge based signaling, etc. Together with various forms of rate limiting and better controlling of topology and network amplification. And just generally being battle-tested by real world attacks, such as historical Ethereum DDoS attacks.

    Trust minimized. Bitcoin. Zero knowledge provable computation. Open source. Reproducible builds. Signed binaries. Incentive compatible structures. Independent audits. Still a lot of work, but getting better.

    Open source. Big and only getting bigger. Including mainstream companies.

    What's next?​

    We've look at what WeChat provides and what we'd like an alternative to look like. We've also seen a few principal modules that are necessary to achieve those goals. To achieve all of this is a daunting task, and one might call it overly ambitiuous. We've also seen how far we've come with some of the goals, and how a lot of the pieces are there, in one form or another. Then it is a question of putting them all together in the right mix.

    The good news is that a lot of people are working all these building blocks and thinking about these problems. Compared to a few years ago we've come quite far when it comes to p2p infrastructure, privacy, security, scalability, and general developer mass and mindshare. If you want to join us in building some of these building blocks, and assembling them, check out our forum.

    PS. We are hiring protocol engineers. DS

    Acknowledgements​

    Corey, Dean, Jacek.

    References​

    1. Mandatory SIM card registration laws: https://privacyinternational.org/long-read/3018/timeline-sim-card-registration-laws↩
    2. On WeChat keyword censorship: https://citizenlab.ca/2016/11/wechat-china-censorship-one-app-two-systems/↩
    3. Net Neutrality: https://www.eff.org/issues/net-neutrality↩
    4. ISP centralization: https://ilsr.org/repealing-net-neutrality-puts-177-million-americans-at-risk/↩
    5. Incentives Build Robustness in BitTorrent bittorrent.org/bittorrentecon.pdf↩
    6. The Case for Electronic Cash: https://coincenter.org/files/2019-02/the-case-for-electronic-cash-coin-center.pdf↩
    7. Money, blockchains, and social scalability: http://unenumerated.blogspot.com/2017/02/money-blockchains-and-social-scalability.html↩
    8. Zcash private transactions (partial paywall): https://www.theblockcrypto.com/genesis/48413/an-analysis-of-zcashs-private-transactions↩
    9. Shielded transactions usage (stats page 404s): https://z.cash/support/faq/↩
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These third party sites have separate and independent privacy policies. We therefore have no responsibility or liability for the content and activities of these third party websites.","s":"7) Third party links","u":"/privacy-policy","h":"#7-third-party-links","p":46},{"i":63,"t":"We may modify or replace any part of this Privacy Policy at any time and without notice. Please check the Website periodically for any changes. The new Privacy Policy will be effective immediately upon its posting on our Website.","s":"8) This Privacy Policy might change","u":"/privacy-policy","h":"#8-this-privacy-policy-might-change","p":46},{"i":65,"t":"To the extent that you have any questions about the Privacy Policy, please contact us at legal@free.technology. 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Please report any discovered vulnerabilities in our bounty programme at HackenProof to help ensure our protocols and software remain secure.","s":"Security","u":"/security","h":"","p":71},{"i":74,"t":"The Vac RFC unit serves as a vital cornerstone in the Logos collective, taking on the responsibility of shepherding and editing specifications for Logos projects and Vac incubator projects. By meticulously crafting and overseeing these specifications, the Vac RFC unit acts as a linchpin for ensuring standardised and interoperable protocols within the Logos ecosystem. Their expertise and attention to detail contribute to a cohesive and collaborative environment, facilitating seamless integration and advancement of decentralised technologies throughout the Logos collective and beyond.","s":"Vac RFC Process","u":"/rfcprocess","h":"","p":73},{"i":76,"t":"Vac's R&D Service Units play a crucial role in supporting IFT projects. In addition to providing expertise, resources, and technical guidance, they also develop software artefacts, such as nim-libp2p and zerokit.","s":"Vac R&D Service Units","u":"/vsus","h":"","p":75},{"i":78,"t":"The P2P R&D Service Unit is a vital part of Vac, specialising in peer-to-peer (P2P) technologies. The P2P unit develops nim-libp2p, work on improving the libp2p gossipsub protocol, and assist projects with the integration of P2P network layers. The P2P unit collaborates closely with Vac Deep Research to conduct research aimed at enhancing libp2p gossipsub. By focusing on advancing P2P technologies, the P2P unit contributes to the overall improvement and efficiency of decentralised networks, enabling seamless decentralised communication for IFT Projects and beyond.","s":"P2P","u":"/vsus","h":"#p2p","p":75},{"i":80,"t":"The Vac Token Economics Unit is dedicated to assisting IFT projects in designing their token economies, incentives, and markets. TKE's collaboration with IFT project teams is intensive and on a day-to-day basis, where TKE not only responds to their needs but also proactively drive the conversation forward by suggesting new ideas and strategies based on TKE's research. The team brings together a broad spectrum of skills and knowledge, ranging from the modeling of dynamic systems to theoretical modeling, and general cryptoeconomics.","s":"Token Economics (TKE)","u":"/vsus","h":"#token-economics-tke","p":75},{"i":82,"t":"The Distributed Systems Testing (DST) R&D Service Unit is responsible for developing distributed systems testing software. DST's primary objective is to assist IFT projects in understanding the scaling behaviour of their nodes within larger networks. By conducting thorough regression testing, the DST unit helps identify potential bottlenecks and performance issues, ensuring the reliability and stability of the projects. The DST unit's expertise in distributed systems testing enables IFT projects to deliver scalable and resilient solutions that can withstand the demands of real-world decentralised applications.","s":"Distributed Systems Testing (DST)","u":"/vsus","h":"#distributed-systems-testing-dst","p":75},{"i":84,"t":"The QA Service Unit is dedicated to supporting IFT projects through the development and execution of comprehensive test plans. Primary responsibilities include implementing unit tests and interoperability tests to ensure seamless integration and functionality across systems. The QA unit plays a crucial role in the verification of project implementations. By rigorously testing project implementations against defined specifications, QA ensures that all functionalities align with the project's requirements. QA's proactive approach in identifying and reporting bugs ensures that any issues are addressed promptly, enhancing the overall quality and reliability of the software. Through meticulous testing and quality assurance processes, the QA Service Unit ensures that IFT projects deliver robust and high-performing software solutions.","s":"Quality Assurance (QA)","u":"/vsus","h":"#quality-assurance-qa","p":75},{"i":86,"t":"The IFT Smart Contracts Service Unit specializes in the development, maintenance, and auditing of smart contracts for IFT projects. The SC unit ensures that all smart contracts are robust, secure, and aligned with project requirements. SC designs and develops smart contracts tailored to the specific needs of IFT projects, ensuring they function as intended and are up-to-date with any project changes or requirements. The unit's thorough auditing process involves meticulously reviewing smart contracts to identify and rectify potential vulnerabilities, ensuring the highest standards of security and reliability.","s":"Smart Contracts (SC)","u":"/vsus","h":"#smart-contracts-sc","p":75},{"i":88,"t":"With IFT's extensive use of the Nim ecosystem, the Nim Service Unit focuses on the development and maintenance of Nim tooling and core libraries essential for IFT projects. The Nim unit works on critical tools in the Nim ecosystem, including the Nim compiler, Nimble (package manager), and nim-suggest, ensuring they are efficient, reliable, and up-to-date. The Nim unit further plans to maintain core libraries developed by IFT, such as Chronos. The mandate of the Nim unit also includes providing support to IFT projects regarding the use of Nim, identifying and addressing specific project needs and demands related to the Nim ecosystem.","s":"Nim","u":"/vsus","h":"#nim","p":75},{"i":90,"t":"The Applied Cryptography & ZK R&D Service Unit focuses on cryptographic solutions and zero-knowledge (ZK) proofs. ACZ provides valuable assistance to IFT projects by offering expertise in employing ZK proofs and implementing cryptographic techniques. The ACZ unit specialises in areas such as employing noise protocol channels and other cryptographic-related aspects. By leveraging cutting-edge cryptographic technologies, ACZ enhances the security, privacy, and trustworthiness of Logos projects, contributing to the overall integrity and resilience of the decentralised web ecosystem. ACZ develops zerokit and stealth-address-kit.","s":"Applied Cryptography & ZK (ACZ)","u":"/vsus","h":"#applied-cryptography--zk-acz","p":75},{"i":92,"t":"The Vac RFC unit serves as a vital cornerstone in the IFT, taking on the responsibility of shepherding and editing specifications for IFT projects. By meticulously crafting and overseeing these specifications, the Vac RFC unit acts as a linchpin for ensuring standardised and interoperable protocols within the Logos ecosystem The RFC unit's expertise and attention to detail contribute to a cohesive and collaborative environment, facilitating seamless integration and advancement of decentralised technologies throughout the IFT and beyond.","s":"RFC","u":"/vsus","h":"#rfc","p":75},{"i":94,"t":"Vac incubator projects are emerging initiatives that stem from Vac's deep research efforts. These projects are envisioned to eventually become separate IFT projects, benefiting from the support and resources of both the Deep Research and R&D Service Units within Vac. The incubator projects operate within Vac, leveraging the expertise and collaboration available to them.","s":"Vac Incubator Projects","u":"/vips","h":"","p":93},{"i":96,"t":"Nescience focuses on developing a privacy preserving general-purpose zero-knowledge virtual machine. It enables privacy-preserving computing, which holds significant importance for IFT programs, espcially Logos.","s":"Nescience","u":"/vips","h":"#nescience","p":93},{"i":98,"t":"On this page Last updated: 14 February 2024 These website terms of use ('Website Terms of Use') are entered into by you and us, and they govern your access and use of this Website, including any content and functionality contained in the Website. It is your responsibility to read the Website Terms of Use carefully before your use of the Website and your use of the Website means you have agreed to be bound and comply with these Website Terms of Use. If you do not agree with these Website Terms of Use, you must not access or use the Website.","s":"Terms of Use","u":"/terms","h":"","p":97},{"i":100,"t":"For the purposes of these Website Terms of Use, the relevant entity is the Logos Collective Association, which has its registered office in Zug and its legal domicile address at: Logos Collective Association c/o PST Consulting GmbH Baarerstrasse 10 6300 Zug Switzerland Whenever we refer to “Logos”, “we”, “us” or any other similar references, we are referring to the Logos Collective Association.","s":"1) Who we are","u":"/terms","h":"#1-who-we-are","p":97},{"i":102,"t":"The Website is provided by us on an ‘as is’ basis and you use the Website at your own sole discretion and risk. We disclaim all warranties of any kind, express or implied, including without limitation the warranties of merchantability, fitness for a particular purpose, and non-infringement of intellectual property or other violation of rights. We do not warrant or make any representations concerning the completeness, accuracy, legality, utility, reliability, suitability or availability of the use of the Website, the content on this Website or otherwise relating to the Website, such content or on any sites linked to this site.These disclaimers will apply to the maximum extent permitted by applicable law. We make no claims that the Website or any of its content is accessible, legally compliant or appropriate in your jurisdiction. Your access or use of the Website is at your own sole discretion and you are solely responsible for complying with any applicable local laws. The content herein or as accessible through this website is intended to be made available for informational purposes only and should not be considered as creating any expectations or forming the basis of any contract, commitment or binding obligation with us. No information herein shall be considered to contain or be relied upon as a promise, representation, warranty or guarantee, whether express or implied and whether as to the past, present or the future in relation to the projects and matters described herein. The information contained herein does not constitute financial, legal, tax, or other advice and should not be treated as such. Nothing in this Website should be construed by you as an offer to buy or sell, or soliciting any offer to buy or sell any tokens or any security.","s":"2) Disclaimers","u":"/terms","h":"#2-disclaimers","p":97},{"i":104,"t":"The Website may also contain forward-looking statements that are based on current expectations, estimates, forecasts, assumptions and projections about the technology, industry and markets in general. The forward looking statements, which may include statements about the roadmap, project descriptions, technical details, functionalities, features, the development and use of tokens by projects, and any other statements related to such matters or as accessible through this website are subject to a high degree of risk and uncertainty. The forward looking statements are subject to change based on, among other things, market conditions, technical developments, and regulatory environment. The actual development and results, including the order and the timeline, might vary from what’s presented. The information contained herein is a summary and does not purport to be accurate, reliable or complete and we bear no responsibility for the accuracy, reliability or completeness of information contained herein. Because of the high degree of risk and uncertainty described above, you should not place undue reliance on any matters described in this website or as accessible through this website. While we aim to update our website regularly, all information, including the timeline and the specifics of each stage, is subject to change and may be amended or supplemented at any time, without notice and at our sole discretion.","s":"3) Forward looking statements","u":"/terms","h":"#3-forward-looking-statements","p":97},{"i":106,"t":"The Website and its contents are made available under Creative Commons Attribution 4.0 International license (CC-BY 4.0). In essence this licence allows users to copy, modify and distribute the content in any format for any purpose, including commercial use, subject to certain requirements such as attributing us. For the full terms of this licence, please refer to the following website: https://creativecommons.org/licenses/by/4.0/.","s":"4) Intellectual property rights","u":"/terms","h":"#4-intellectual-property-rights","p":97},{"i":108,"t":"To the extent the Website provides any links to a third party website, then their terms and conditions, including privacy policies, govern your use of those third party websites. By linking such third party websites, Status does not represent or imply that it endorses or supports such third party websites or content therein, or that it believes such third party websites and content therein to be accurate, useful or non-harmful. We have no control over such third party websites and will not be liable for your use of or activities on any third party websites accessed through the Website. If you access such third party websites through the Website, it is at your own risk and you are solely responsible for your activities on such third party websites.","s":"5) Third-party website links","u":"/terms","h":"#5-third-party-website-links","p":97},{"i":110,"t":"We will not be held liable to you under any contract, negligence, strict liability, or other legal or equitable theory for any lost profits, cost of procurement for substitute services, or any special, incidental, or consequential damages related to, arising from, or in any way connected with these Website Terms of Use, the Website, the content on the Website, or your use of the Website, even if we have been advised of the possibility of such damages. In any event, our aggregate liability for such claims is limited to EUR 100 (one hundred Euros). This limitation of liability will apply to the maximum extent permitted by applicable law.","s":"6) Limitation of liability","u":"/terms","h":"#6-limitation-of-liability","p":97},{"i":112,"t":"You shall indemnify us and hold us harmless from and against any and all claims, damages and expenses, including attorneys’ fees, arising from or related to your use of the Website, the content on the Website, including without limitation your violation of these Website Terms of Use.","s":"7) Indemnity","u":"/terms","h":"#7-indemnity","p":97},{"i":114,"t":"We may modify or replace any part of this Website Terms of Use at any time and without notice. You are responsible for checking the Website periodically for any changes. The new Website Terms of Use will be effective immediately upon its posting on the Website.","s":"8) Modifications","u":"/terms","h":"#8-modifications","p":97},{"i":116,"t":"Swiss law governs these Website Terms of Use and any disputes between you and us, whether in court or arbitration, without regard to conflict of laws provisions.","s":"9) Governing law","u":"/terms","h":"#9-governing-law","p":97},{"i":118,"t":"In these terms, “dispute” has the broadest meaning enforceable by law and includes any claim you make against or controversy you may have in relation to these Website Terms of Use, the Website, the content on the Website, or your use of the Website. We prefer arbitration over litigation as we believe it meets our principle of resolving disputes in the most effective and cost effective manner. You are bound by the following arbitration clause, which waives your right to litigation and to be heard by a judge. Please note that court review of an arbitration award is limited. You also waive all your rights to a jury trial (if any) in any and all jurisdictions. If a (potential) dispute arises, you must first use your reasonable efforts to resolve it amicably with us. If these efforts do not result in a resolution of such dispute, you shall then send us a written notice of dispute setting out (i) the nature of the dispute, and the claim you are making; and (ii) the remedy you are seeking. If we and you are unable to further resolve this dispute within sixty (60) calendar days of us receiving this notice of dispute, then any such dispute will be referred to and finally resolved by you and us through an arbitration administered by the Swiss Chambers’ Arbitration Institution in accordance with the Swiss Rules of International Arbitration for the time being in force, which rules are deemed to be incorporated herein by reference. The arbitral decision may be enforced in any court. The arbitration will be held in Zug, Switzerland, and may be conducted via video conference virtual/online methods if possible. The tribunal will consist of one arbitrator, and all proceedings as well as communications between the parties will be kept confidential. The language of the arbitration will be in English. Payment of all relevant fees in respect of the arbitration, including filing, administration and arbitrator fees will be in accordance with the Swiss Rules of International Arbitration. Regardless of any applicable statute of limitations, you must bring any claims within one year after the claim arose or the time when you should have reasonably known about the claim. You also waive the right to participate in a class action lawsuit or a classwide arbitration against us.","s":"10) Disputes","u":"/terms","h":"#10-disputes","p":97},{"i":120,"t":"These Website Terms of Use cover the entire agreement between you and us regarding the Website and supersede all prior and contemporaneous understandings, agreements, representations and warranties, both written and oral, with respect to the Website. The captions and headings identifying sections and subsections of these Website Terms of Use are for reference only and do not define, modify, expand, limit, or affect the interpretation of any provisions of these Website Terms of Use. If any part of these Website Terms of Use is held invalid or unenforceable, that part will be severable from these Website Terms of Use, and the remaining portions will remain in full force and effect. If we fail to enforce any of these Website Terms of Use, that does not mean that we have waived our right to enforce them. If you have any specific questions about these Website Terms of Use, please contact us at legal@free.technology. 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In this regard, if you are visiting our Website, this Privacy Policy applies to you.","s":"Privacy Policy","u":"/privacy-policy","h":"","p":51},{"i":54,"t":"For the purposes of this Privacy Policy and the collection and processing of personal data as a controller, the relevant entity is the Logos Collective Association, which has its registered office in Zug and its legal domicile address at Logos Collective Association c/o PST Consulting GmbH Baarerstrasse 10 6300 Zug Switzerland Whenever we refer to “Logos”, “we” or other similar references, we are referring to the Logos Collective Association.","s":"1) Who we are","u":"/privacy-policy","h":"#1-who-we-are","p":51},{"i":56,"t":"We aim to limit the collection and collection and processing of personal data from users of the Website. We only collect and process certain personal data for specific purposes and where we have the legal basis to do so under applicable privacy legislation. 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This means that personal data will only be processed in countries or by parties that provide an adequate level of protection as deemed by Switzerland or the European Commission. Otherwise, we will use other forms of protections, such as specific forms of contractual clauses to ensure such personal data is provided the same protection as required in Switzerland or Europe. In any event, the transmission of personal data outside the European Union and Switzerland will always occur in conformity with applicable privacy legislation.","s":"5) Exporting data outside the European Union and Switzerland","u":"/privacy-policy","h":"#5-exporting-data-outside-the-european-union-and-switzerland","p":51},{"i":64,"t":"As explained in this Privacy Policy, we limit our collection and processing of your personal data wherever possible. Nonetheless, you still have certain choices and rights in respect of the personal data which we do collect and process. As laid out in relevant privacy legislation, you have the right to: Ask us to correct or update your personal data (where reasonably possible); Ask us to remove your personal data from our systems; Ask us for a copy of your personal data, which may also be transferred to another data controller at your request; Withdraw your consent to process your personal data (only if consent was asked for a processing activity), which only affects processing activities that are based on your consent and doesn’t affect the validity of such processing activities before you have withdrawn your consent; Object to the processing of your personal data; and File a complaint with the Federal Data Protection and Information Commissioner (FDPIC), if you believe that your personal data has been processed unlawfully.","s":"6) Your choices and rights","u":"/privacy-policy","h":"#6-your-choices-and-rights","p":51},{"i":66,"t":"On this Website, you may come across links to third party websites. These third party sites have separate and independent privacy policies. We therefore have no responsibility or liability for the content and activities of these third party websites.","s":"7) Third party links","u":"/privacy-policy","h":"#7-third-party-links","p":51},{"i":68,"t":"We may modify or replace any part of this Privacy Policy at any time and without notice. Please check the Website periodically for any changes. The new Privacy Policy will be effective immediately upon its posting on our Website.","s":"8) This Privacy Policy might change","u":"/privacy-policy","h":"#8-this-privacy-policy-might-change","p":51},{"i":70,"t":"To the extent that you have any questions about the Privacy Policy, please contact us at legal@free.technology. This document is licensed under CC-BY-SA.","s":"9) Contact information","u":"/privacy-policy","h":"#9-contact-information","p":51},{"i":72,"t":"We take security seriously at Vac and across the Institute of Free Technology and its affiliates. Please report any security incidents via security@free.technology. Please report any discovered vulnerabilities in our bounty programme at HackenProof to help ensure our protocols and software remain secure.","s":"Security","u":"/security","h":"","p":71},{"i":74,"t":"The Vac RFC unit serves as a vital cornerstone in the Logos collective, taking on the responsibility of shepherding and editing specifications for Logos projects and Vac incubator projects. By meticulously crafting and overseeing these specifications, the Vac RFC unit acts as a linchpin for ensuring standardised and interoperable protocols within the Logos ecosystem. Their expertise and attention to detail contribute to a cohesive and collaborative environment, facilitating seamless integration and advancement of decentralised technologies throughout the Logos collective and beyond.","s":"Vac RFC Process","u":"/rfcprocess","h":"","p":73},{"i":76,"t":"Vac incubator projects are emerging initiatives that stem from Vac's deep research efforts. These projects are envisioned to eventually become separate IFT projects, benefiting from the support and resources of both the Deep Research and R&D Service Units within Vac. The incubator projects operate within Vac, leveraging the expertise and collaboration available to them.","s":"Vac Incubator Projects","u":"/vips","h":"","p":75},{"i":78,"t":"Nescience focuses on developing a privacy-preserving general-purpose zero-knowledge virtual machine. It enables privacy-preserving computing, which holds significant importance for IFT programs, especially Logos.","s":"Nescience","u":"/vips","h":"#nescience","p":75},{"i":80,"t":"On this page Last updated: 14 February 2024 These website terms of use ('Website Terms of Use') are entered into by you and us, and they govern your access and use of this Website, including any content and functionality contained in the Website. It is your responsibility to read the Website Terms of Use carefully before your use of the Website and your use of the Website means you have agreed to be bound and comply with these Website Terms of Use. If you do not agree with these Website Terms of Use, you must not access or use the Website.","s":"Terms of Use","u":"/terms","h":"","p":79},{"i":82,"t":"For the purposes of these Website Terms of Use, the relevant entity is the Logos Collective Association, which has its registered office in Zug and its legal domicile address at: Logos Collective Association c/o PST Consulting GmbH Baarerstrasse 10 6300 Zug Switzerland Whenever we refer to “Logos”, “we”, “us” or any other similar references, we are referring to the Logos Collective Association.","s":"1) Who we are","u":"/terms","h":"#1-who-we-are","p":79},{"i":84,"t":"The Website is provided by us on an ‘as is’ basis and you use the Website at your own sole discretion and risk. We disclaim all warranties of any kind, express or implied, including without limitation the warranties of merchantability, fitness for a particular purpose, and non-infringement of intellectual property or other violation of rights. We do not warrant or make any representations concerning the completeness, accuracy, legality, utility, reliability, suitability or availability of the use of the Website, the content on this Website or otherwise relating to the Website, such content or on any sites linked to this site.These disclaimers will apply to the maximum extent permitted by applicable law. We make no claims that the Website or any of its content is accessible, legally compliant or appropriate in your jurisdiction. Your access or use of the Website is at your own sole discretion and you are solely responsible for complying with any applicable local laws. The content herein or as accessible through this website is intended to be made available for informational purposes only and should not be considered as creating any expectations or forming the basis of any contract, commitment or binding obligation with us. No information herein shall be considered to contain or be relied upon as a promise, representation, warranty or guarantee, whether express or implied and whether as to the past, present or the future in relation to the projects and matters described herein. The information contained herein does not constitute financial, legal, tax, or other advice and should not be treated as such. Nothing in this Website should be construed by you as an offer to buy or sell, or soliciting any offer to buy or sell any tokens or any security.","s":"2) Disclaimers","u":"/terms","h":"#2-disclaimers","p":79},{"i":86,"t":"The Website may also contain forward-looking statements that are based on current expectations, estimates, forecasts, assumptions and projections about the technology, industry and markets in general. The forward looking statements, which may include statements about the roadmap, project descriptions, technical details, functionalities, features, the development and use of tokens by projects, and any other statements related to such matters or as accessible through this website are subject to a high degree of risk and uncertainty. The forward looking statements are subject to change based on, among other things, market conditions, technical developments, and regulatory environment. The actual development and results, including the order and the timeline, might vary from what’s presented. The information contained herein is a summary and does not purport to be accurate, reliable or complete and we bear no responsibility for the accuracy, reliability or completeness of information contained herein. Because of the high degree of risk and uncertainty described above, you should not place undue reliance on any matters described in this website or as accessible through this website. While we aim to update our website regularly, all information, including the timeline and the specifics of each stage, is subject to change and may be amended or supplemented at any time, without notice and at our sole discretion.","s":"3) Forward looking statements","u":"/terms","h":"#3-forward-looking-statements","p":79},{"i":88,"t":"The Website and its contents are made available under Creative Commons Attribution 4.0 International license (CC-BY 4.0). In essence this licence allows users to copy, modify and distribute the content in any format for any purpose, including commercial use, subject to certain requirements such as attributing us. For the full terms of this licence, please refer to the following website: https://creativecommons.org/licenses/by/4.0/.","s":"4) Intellectual property rights","u":"/terms","h":"#4-intellectual-property-rights","p":79},{"i":90,"t":"To the extent the Website provides any links to a third party website, then their terms and conditions, including privacy policies, govern your use of those third party websites. By linking such third party websites, Status does not represent or imply that it endorses or supports such third party websites or content therein, or that it believes such third party websites and content therein to be accurate, useful or non-harmful. We have no control over such third party websites and will not be liable for your use of or activities on any third party websites accessed through the Website. If you access such third party websites through the Website, it is at your own risk and you are solely responsible for your activities on such third party websites.","s":"5) Third-party website links","u":"/terms","h":"#5-third-party-website-links","p":79},{"i":92,"t":"We will not be held liable to you under any contract, negligence, strict liability, or other legal or equitable theory for any lost profits, cost of procurement for substitute services, or any special, incidental, or consequential damages related to, arising from, or in any way connected with these Website Terms of Use, the Website, the content on the Website, or your use of the Website, even if we have been advised of the possibility of such damages. In any event, our aggregate liability for such claims is limited to EUR 100 (one hundred Euros). This limitation of liability will apply to the maximum extent permitted by applicable law.","s":"6) Limitation of liability","u":"/terms","h":"#6-limitation-of-liability","p":79},{"i":94,"t":"You shall indemnify us and hold us harmless from and against any and all claims, damages and expenses, including attorneys’ fees, arising from or related to your use of the Website, the content on the Website, including without limitation your violation of these Website Terms of Use.","s":"7) Indemnity","u":"/terms","h":"#7-indemnity","p":79},{"i":96,"t":"We may modify or replace any part of this Website Terms of Use at any time and without notice. You are responsible for checking the Website periodically for any changes. The new Website Terms of Use will be effective immediately upon its posting on the Website.","s":"8) Modifications","u":"/terms","h":"#8-modifications","p":79},{"i":98,"t":"Swiss law governs these Website Terms of Use and any disputes between you and us, whether in court or arbitration, without regard to conflict of laws provisions.","s":"9) Governing law","u":"/terms","h":"#9-governing-law","p":79},{"i":100,"t":"In these terms, “dispute” has the broadest meaning enforceable by law and includes any claim you make against or controversy you may have in relation to these Website Terms of Use, the Website, the content on the Website, or your use of the Website. We prefer arbitration over litigation as we believe it meets our principle of resolving disputes in the most effective and cost effective manner. You are bound by the following arbitration clause, which waives your right to litigation and to be heard by a judge. Please note that court review of an arbitration award is limited. You also waive all your rights to a jury trial (if any) in any and all jurisdictions. If a (potential) dispute arises, you must first use your reasonable efforts to resolve it amicably with us. If these efforts do not result in a resolution of such dispute, you shall then send us a written notice of dispute setting out (i) the nature of the dispute, and the claim you are making; and (ii) the remedy you are seeking. If we and you are unable to further resolve this dispute within sixty (60) calendar days of us receiving this notice of dispute, then any such dispute will be referred to and finally resolved by you and us through an arbitration administered by the Swiss Chambers’ Arbitration Institution in accordance with the Swiss Rules of International Arbitration for the time being in force, which rules are deemed to be incorporated herein by reference. The arbitral decision may be enforced in any court. The arbitration will be held in Zug, Switzerland, and may be conducted via video conference virtual/online methods if possible. The tribunal will consist of one arbitrator, and all proceedings as well as communications between the parties will be kept confidential. The language of the arbitration will be in English. Payment of all relevant fees in respect of the arbitration, including filing, administration and arbitrator fees will be in accordance with the Swiss Rules of International Arbitration. Regardless of any applicable statute of limitations, you must bring any claims within one year after the claim arose or the time when you should have reasonably known about the claim. You also waive the right to participate in a class action lawsuit or a classwide arbitration against us.","s":"10) Disputes","u":"/terms","h":"#10-disputes","p":79},{"i":102,"t":"These Website Terms of Use cover the entire agreement between you and us regarding the Website and supersede all prior and contemporaneous understandings, agreements, representations and warranties, both written and oral, with respect to the Website. The captions and headings identifying sections and subsections of these Website Terms of Use are for reference only and do not define, modify, expand, limit, or affect the interpretation of any provisions of these Website Terms of Use. If any part of these Website Terms of Use is held invalid or unenforceable, that part will be severable from these Website Terms of Use, and the remaining portions will remain in full force and effect. If we fail to enforce any of these Website Terms of Use, that does not mean that we have waived our right to enforce them. If you have any specific questions about these Website Terms of Use, please contact us at legal@free.technology. This document is licensed under CC-BY-SA.","s":"11) About these Website Terms of Use","u":"/terms","h":"#11-about-these-website-terms-of-use","p":79},{"i":104,"t":"Vac's R&D Service Units play a crucial role in supporting IFT projects. In addition to providing expertise, resources, and technical guidance, they also develop software artefacts, such as nim-libp2p and zerokit.","s":"Vac R&D Service Units","u":"/vsus","h":"","p":103},{"i":106,"t":"The P2P R&D Service Unit is a vital part of Vac, specialising in peer-to-peer (P2P) technologies. The P2P unit develops nim-libp2p, works on improving the libp2p gossipsub protocol, and assists projects with the integration of P2P network layers. The P2P unit collaborates closely with Vac Deep Research to conduct research aimed at enhancing libp2p gossipsub. By focusing on advancing P2P technologies, the P2P unit contributes to the overall improvement and efficiency of decentralised networks, enabling seamless decentralised communication within IFT projects and beyond.","s":"P2P","u":"/vsus","h":"#p2p","p":103},{"i":108,"t":"The Vac Token Economics Unit is dedicated to assisting IFT projects in designing their token economies, incentives, and markets. TKE's collaboration with IFT project teams is intensive and occurs on a day-to-day basis, where TKE not only responds to their needs but also proactively drives the conversation forward by suggesting new ideas and strategies based on TKE's research. The team brings together a broad spectrum of skills and knowledge, ranging from the modelling of dynamic systems to theoretical modelling and general cryptoeconomics.","s":"Token Economics (TKE)","u":"/vsus","h":"#token-economics-tke","p":103},{"i":110,"t":"The Distributed Systems Testing (DST) R&D Service Unit is responsible for developing distributed systems testing software. DST's primary objective is to assist IFT projects in understanding the scaling behaviour of their nodes within larger networks. By conducting thorough regression testing, the DST unit helps identify potential bottlenecks and performance issues, ensuring the reliability and stability of the projects. The DST unit's expertise in distributed systems testing enables IFT projects to deliver scalable and resilient solutions that can withstand the demands of real-world decentralised applications.","s":"Distributed Systems Testing (DST)","u":"/vsus","h":"#distributed-systems-testing-dst","p":103},{"i":112,"t":"The QA Service Unit is dedicated to supporting IFT projects through the development and execution of comprehensive test plans. Primary responsibilities include implementing unit tests and interoperability tests to ensure seamless integration and functionality across systems. The QA unit plays a crucial role in the verification of project implementations. By rigorously testing project implementations against defined specifications, QA ensures that all functionalities align with the project's requirements. QA's proactive approach to identifying and reporting bugs ensures that any issues are addressed promptly, enhancing the overall quality and reliability of the software. Through meticulous testing and quality assurance processes, the QA Service Unit ensures that IFT projects deliver robust and high-performing software solutions.","s":"Quality Assurance (QA)","u":"/vsus","h":"#quality-assurance-qa","p":103},{"i":114,"t":"Vac's Smart Contracts Service Unit specialises in the development, maintenance, and auditing of smart contracts for IFT projects. The SC unit ensures that all smart contracts are robust, secure, and aligned with project requirements. SC designs and develops smart contracts tailored to the specific needs of IFT projects, ensuring they function as intended and are up-to-date with any project changes or requirements. The unit's thorough auditing process involves meticulously reviewing smart contracts to identify and rectify potential vulnerabilities, ensuring the highest standards of security and reliability.","s":"Smart Contracts (SC)","u":"/vsus","h":"#smart-contracts-sc","p":103},{"i":116,"t":"With the IFT's extensive use of the Nim ecosystem, the Nim Service Unit focuses on the development and maintenance of Nim tooling and core libraries essential for IFT projects. The Nim unit works on critical tools in the Nim ecosystem, including the Nim compiler, Nimble (package manager), and nim-suggest, ensuring they are efficient, reliable, and up-to-date. The Nim unit further plans to maintain core libraries developed by IFT, such as Chronos. The mandate of the Nim unit also includes providing support to IFT projects regarding the use of Nim, identifying and addressing specific project needs and demands related to the Nim ecosystem.","s":"Nim","u":"/vsus","h":"#nim","p":103},{"i":118,"t":"The Applied Cryptography & ZK R&D Service Unit focuses on cryptographic solutions and zero-knowledge (ZK) proofs. ACZ provides valuable assistance to IFT projects by offering expertise in employing ZK proofs and implementing cryptographic techniques. The ACZ unit specialises in areas such as employing noise protocol channels and other cryptographic-related aspects. By leveraging cutting-edge cryptographic technologies, ACZ enhances the security, privacy, and trustworthiness of Logos projects, contributing to the overall integrity and resilience of the decentralised web ecosystem. ACZ develops zerokit and stealth-address-kit.","s":"Applied Cryptography & ZK (ACZ)","u":"/vsus","h":"#applied-cryptography--zk-acz","p":103},{"i":120,"t":"The Vac RFC unit serves as a vital cornerstone in the IFT, taking on the responsibility of shepherding and editing specifications for IFT projects. By meticulously crafting and overseeing these specifications, the Vac RFC unit acts as a linchpin for ensuring standardised and interoperable protocols within the IFT ecosystem The RFC unit's expertise and attention to detail contribute to a cohesive and collaborative environment, facilitating seamless integration and advancement of decentralised technologies throughout the IFT and 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    Terms of Use

    Last updated: 14 February 2024

    These website terms of use ('Website Terms of Use') are entered into by you and us, and they govern your access and use of this Website, including any content and functionality contained in the Website.

    It is your responsibility to read the Website Terms of Use carefully before your use of the Website and your use of the Website means you have agreed to be bound and comply with these Website Terms of Use.

    If you do not agree with these Website Terms of Use, you must not access or use the Website.

    1) Who we are​

    For the purposes of these Website Terms of Use, the relevant entity is the Logos Collective Association, which has its registered office in Zug and its legal domicile address at:

    Logos Collective Association
    c/o PST Consulting GmbH
    Baarerstrasse 10
    6300 Zug
    Switzerland

    Whenever we refer to “Logos”, “we”, “us” or any other similar references, we are referring to the Logos Collective Association.

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    The content herein or as accessible through this website is intended to be made available for informational purposes only and should not be considered as creating any expectations or forming the basis of any contract, commitment or binding obligation with us. No information herein shall be considered to contain or be relied upon as a promise, representation, warranty or guarantee, whether express or implied and whether as to the past, present or the future in relation to the projects and matters described herein.

    The information contained herein does not constitute financial, legal, tax, or other advice and should not be treated as such.

    Nothing in this Website should be construed by you as an offer to buy or sell, or soliciting any offer to buy or sell any tokens or any security.

    3) Forward looking statements​

    The Website may also contain forward-looking statements that are based on current expectations, estimates, forecasts, assumptions and projections about the technology, industry and markets in general.

    The forward looking statements, which may include statements about the roadmap, project descriptions, technical details, functionalities, features, the development and use of tokens by projects, and any other statements related to such matters or as accessible through this website are subject to a high degree of risk and uncertainty. The forward looking statements are subject to change based on, among other things, market conditions, technical developments, and regulatory environment. The actual development and results, including the order and the timeline, might vary from what’s presented. The information contained herein is a summary and does not purport to be accurate, reliable or complete and we bear no responsibility for the accuracy, reliability or completeness of information contained herein. Because of the high degree of risk and uncertainty described above, you should not place undue reliance on any matters described in this website or as accessible through this website.

    While we aim to update our website regularly, all information, including the timeline and the specifics of each stage, is subject to change and may be amended or supplemented at any time, without notice and at our sole discretion.

    4) Intellectual property rights​

    The Website and its contents are made available under Creative Commons Attribution 4.0 International license (CC-BY 4.0). In essence this licence allows users to copy, modify and distribute the content in any format for any purpose, including commercial use, subject to certain requirements such as attributing us. For the full terms of this licence, please refer to the following website: https://creativecommons.org/licenses/by/4.0/.

    To the extent the Website provides any links to a third party website, then their terms and conditions, including privacy policies, govern your use of those third party websites. By linking such third party websites, Status does not represent or imply that it endorses or supports such third party websites or content therein, or that it believes such third party websites and content therein to be accurate, useful or non-harmful. We have no control over such third party websites and will not be liable for your use of or activities on any third party websites accessed through the Website. If you access such third party websites through the Website, it is at your own risk and you are solely responsible for your activities on such third party websites.

    6) Limitation of liability​

    We will not be held liable to you under any contract, negligence, strict liability, or other legal or equitable theory for any lost profits, cost of procurement for substitute services, or any special, incidental, or consequential damages related to, arising from, or in any way connected with these Website Terms of Use, the Website, the content on the Website, or your use of the Website, even if we have been advised of the possibility of such damages. In any event, our aggregate liability for such claims is limited to EUR 100 (one hundred Euros). This limitation of liability will apply to the maximum extent permitted by applicable law.

    7) Indemnity​

    You shall indemnify us and hold us harmless from and against any and all claims, damages and expenses, including attorneys’ fees, arising from or related to your use of the Website, the content on the Website, including without limitation your violation of these Website Terms of Use.

    8) Modifications​

    We may modify or replace any part of this Website Terms of Use at any time and without notice. You are responsible for checking the Website periodically for any changes. The new Website Terms of Use will be effective immediately upon its posting on the Website.

    9) Governing law​

    Swiss law governs these Website Terms of Use and any disputes between you and us, whether in court or arbitration, without regard to conflict of laws provisions.

    10) Disputes​

    In these terms, “dispute” has the broadest meaning enforceable by law and includes any claim you make against or controversy you may have in relation to these Website Terms of Use, the Website, the content on the Website, or your use of the Website.

    We prefer arbitration over litigation as we believe it meets our principle of resolving disputes in the most effective and cost effective manner. You are bound by the following arbitration clause, which waives your right to litigation and to be heard by a judge. Please note that court review of an arbitration award is limited. You also waive all your rights to a jury trial (if any) in any and all jurisdictions.

    If a (potential) dispute arises, you must first use your reasonable efforts to resolve it amicably with us. If these efforts do not result in a resolution of such dispute, you shall then send us a written notice of dispute setting out (i) the nature of the dispute, and the claim you are making; and (ii) the remedy you are seeking.

    If we and you are unable to further resolve this dispute within sixty (60) calendar days of us receiving this notice of dispute, then any such dispute will be referred to and finally resolved by you and us through an arbitration administered by the Swiss Chambers’ Arbitration Institution in accordance with the Swiss Rules of International Arbitration for the time being in force, which rules are deemed to be incorporated herein by reference. The arbitral decision may be enforced in any court. The arbitration will be held in Zug, Switzerland, and may be conducted via video conference virtual/online methods if possible. The tribunal will consist of one arbitrator, and all proceedings as well as communications between the parties will be kept confidential. The language of the arbitration will be in English. Payment of all relevant fees in respect of the arbitration, including filing, administration and arbitrator fees will be in accordance with the Swiss Rules of International Arbitration.

    Regardless of any applicable statute of limitations, you must bring any claims within one year after the claim arose or the time when you should have reasonably known about the claim. You also waive the right to participate in a class action lawsuit or a classwide arbitration against us.

    11) About these Website Terms of Use​

    These Website Terms of Use cover the entire agreement between you and us regarding the Website and supersede all prior and contemporaneous understandings, agreements, representations and warranties, both written and oral, with respect to the Website.

    The captions and headings identifying sections and subsections of these Website Terms of Use are for reference only and do not define, modify, expand, limit, or affect the interpretation of any provisions of these Website Terms of Use.

    If any part of these Website Terms of Use is held invalid or unenforceable, that part will be severable from these Website Terms of Use, and the remaining portions will remain in full force and effect. If we fail to enforce any of these Website Terms of Use, that does not mean that we have waived our right to enforce them.

    If you have any specific questions about these Website Terms of Use, please contact us at legal@free.technology.

    This document is licensed under CC-BY-SA.

    - - + + \ No newline at end of file diff --git a/vips/index.html b/vips/index.html index eeb8cbcd..f43ce4dc 100644 --- a/vips/index.html +++ b/vips/index.html @@ -10,8 +10,8 @@ - - + +
    @@ -21,9 +21,9 @@ .lsd-dropdown--error ) .lsd-dropdown__trigger:focus .lsd-dropdown__option-label{-webkit-text-decoration:underline;text-decoration:underline;}.lsd-dropdown__label{display:block;}.lsd-dropdown__button-container{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;}.lsd-dropdown__trigger{width:100%;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;border:none;cursor:pointer;background:none;}.lsd-dropdown__trigger:focus{outline:none;}.lsd-dropdown__option-label{cursor:inherit;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;}.lsd-dropdown__icons{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;gap:8px;}.lsd-dropdown__icon{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}.lsd-dropdown__supporting-text{margin:6px 14px;}.lsd-dropdown--error .lsd-dropdown__option-label{-webkit-text-decoration:line-through;text-decoration:line-through;}.lsd-dropdown--disabled{opacity:0.34;cursor:initial;}.lsd-dropdown--large{width:208px;}.lsd-dropdown--large.lsd-dropdown--error{width:230px;}.lsd-dropdown--large .lsd-dropdown__label{margin:0 0 6px 18px;}.lsd-dropdown--large .lsd-dropdown__button-container{height:40px;}.lsd-dropdown--large .lsd-dropdown__trigger{padding:10px 0px 10px 18px;}.lsd-dropdown--large .lsd-dropdown__icons{padding:0px 14px;}.lsd-dropdown--medium{width:188px;}.lsd-dropdown--medium.lsd-dropdown--error{width:210px;}.lsd-dropdown--medium .lsd-dropdown__label{margin:0 0 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__button-container{height:32px;}.lsd-dropdown--medium .lsd-dropdown__trigger{padding:6px 0px 6px 14px;}.lsd-dropdown--medium .lsd-dropdown__icons{padding:0px 12px;}.lsd-dropdown--small{width:164px;}.lsd-dropdown--small.lsd-dropdown--error{width:186px;}.lsd-dropdown--small .lsd-dropdown__label{margin:0 0 6px 12px;}.lsd-dropdown--small .lsd-dropdown__button-container{height:28px;}.lsd-dropdown--small .lsd-dropdown__trigger{padding:6px 0px 6px 12px;}.lsd-dropdown--small .lsd-dropdown__icons{padding:0px 10px;}.lsd-dropdown--outlined .lsd-dropdown__button-container{border:1px solid rgb(var(--lsd-border-primary));}.lsd-dropdown--underlined .lsd-dropdown__button-container{border:1px solid transparent;border-bottom:1px solid rgb(var(--lsd-border-primary));}

    Vac Incubator Projects

    Vac incubator projects are emerging initiatives that stem from Vac's deep research efforts. These projects are envisioned to eventually become separate IFT projects, benefiting from the support and resources of both the Deep Research and R&D Service Units within Vac. -The incubator projects operate within Vac, leveraging the expertise and collaboration available to them.

    Nescience​

    Nescience focuses on developing a privacy preserving general-purpose zero-knowledge virtual machine. -It enables privacy-preserving computing, which holds significant importance for IFT programs, espcially Logos.

    - - +The incubator projects operate within Vac, leveraging the expertise and collaboration available to them.

    Nescience​

    Nescience focuses on developing a privacy-preserving general-purpose zero-knowledge virtual machine. +It enables privacy-preserving computing, which holds significant importance for IFT programs, especially Logos.

    + + \ No newline at end of file diff --git a/vsus/index.html b/vsus/index.html index 769f072f..acaba967 100644 --- a/vsus/index.html +++ b/vsus/index.html @@ -10,8 +10,8 @@ - - + +
    @@ -23,15 +23,15 @@ In addition to providing expertise, resources, and technical guidance, they also develop software artefacts, such as nim-libp2p and zerokit.

    P2P​

    The P2P R&D Service Unit is a vital part of Vac, specialising in peer-to-peer (P2P) technologies. The P2P unit develops nim-libp2p, -work on improving the libp2p gossipsub protocol, -and assist projects with the integration of P2P network layers. +works on improving the libp2p gossipsub protocol, +and assists projects with the integration of P2P network layers. The P2P unit collaborates closely with Vac Deep Research to conduct research aimed at enhancing libp2p gossipsub. By focusing on advancing P2P technologies, the P2P unit contributes to the overall improvement and efficiency of decentralised networks, -enabling seamless decentralised communication for IFT Projects and beyond.

    Token Economics (TKE)​

    The Vac Token Economics Unit is dedicated to assisting IFT projects in designing their token economies, incentives, and markets. -TKE's collaboration with IFT project teams is intensive and on a day-to-day basis, -where TKE not only responds to their needs but also proactively drive the conversation forward by suggesting new ideas and strategies +enabling seamless decentralised communication within IFT projects and beyond.

    Token Economics (TKE)​

    The Vac Token Economics Unit is dedicated to assisting IFT projects in designing their token economies, incentives, and markets. +TKE's collaboration with IFT project teams is intensive and occurs on a day-to-day basis, +where TKE not only responds to their needs but also proactively drives the conversation forward by suggesting new ideas and strategies based on TKE's research. -The team brings together a broad spectrum of skills and knowledge, ranging from the modeling of dynamic systems to theoretical modeling, +The team brings together a broad spectrum of skills and knowledge, ranging from the modelling of dynamic systems to theoretical modelling and general cryptoeconomics.

    Distributed Systems Testing (DST)​

    The Distributed Systems Testing (DST) R&D Service Unit is responsible for developing distributed systems testing software. DST's primary objective is to assist IFT projects in understanding the scaling behaviour of their nodes within larger networks. By conducting thorough regression testing, the DST unit helps identify potential bottlenecks and performance issues, @@ -39,13 +39,13 @@ The DST unit's expertise in distributed systems testing enables IFT projects to deliver scalable and resilient solutions that can withstand the demands of real-world decentralised applications.

    Quality Assurance (QA)​

    The QA Service Unit is dedicated to supporting IFT projects through the development and execution of comprehensive test plans. Primary responsibilities include implementing unit tests and interoperability tests to ensure seamless integration and functionality across systems.

    The QA unit plays a crucial role in the verification of project implementations. By rigorously testing project implementations against defined specifications, QA ensures that all functionalities align with the project's requirements. -QA's proactive approach in identifying and reporting bugs ensures that any issues are addressed promptly, enhancing the overall quality and reliability of the software. -Through meticulous testing and quality assurance processes, the QA Service Unit ensures that IFT projects deliver robust and high-performing software solutions.

    Smart Contracts (SC)​

    The IFT Smart Contracts Service Unit specializes in the development, maintenance, and auditing of smart contracts for IFT projects. +QA's proactive approach to identifying and reporting bugs ensures that any issues are addressed promptly, enhancing the overall quality and reliability of the software. +Through meticulous testing and quality assurance processes, the QA Service Unit ensures that IFT projects deliver robust and high-performing software solutions.

    Smart Contracts (SC)​

    Vac's Smart Contracts Service Unit specialises in the development, maintenance, and auditing of smart contracts for IFT projects. The SC unit ensures that all smart contracts are robust, secure, and aligned with project requirements. SC designs and develops smart contracts tailored to the specific needs of IFT projects, ensuring they function as intended and are up-to-date with any project changes or requirements. The unit's thorough auditing process involves meticulously reviewing smart contracts to identify and rectify potential vulnerabilities, -ensuring the highest standards of security and reliability.

    Nim​

    With IFT's extensive use of the Nim ecosystem, +ensuring the highest standards of security and reliability.

    Nim​

    With the IFT's extensive use of the Nim ecosystem, the Nim Service Unit focuses on the development and maintenance of Nim tooling and core libraries essential for IFT projects. The Nim unit works on critical tools in the Nim ecosystem, including the Nim compiler, Nimble (package manager), and nim-suggest, ensuring they are efficient, reliable, and up-to-date. @@ -59,11 +59,11 @@ ACZ develops zerokit and stealth-address-kit.

    RFC​

    The Vac RFC unit serves as a vital cornerstone in the IFT, taking on the responsibility of shepherding and editing specifications for IFT projects. By meticulously crafting and overseeing these specifications, -the Vac RFC unit acts as a linchpin for ensuring standardised and interoperable protocols within the Logos ecosystem +the Vac RFC unit acts as a linchpin for ensuring standardised and interoperable protocols within the IFT ecosystem The RFC unit's expertise and attention to detail contribute to a cohesive and collaborative environment, facilitating seamless integration and advancement of decentralised technologies throughout the IFT and beyond.

    - - + + \ No newline at end of file