Steganographyx is an open source project you can contribute in it and can modify and update the new build. You can generate pull request in order to contribute in this project and make it more easy to use and more advanced for users.
To contribute to the Steganographyx repository, you can follow these steps and update the README file accordingly:
Steganographyx is an open-source project, and we welcome contributions from the community to make it more user-friendly and advanced. Here's how you can contribute:
- Fork the Repository:
- Go to the Steganographyx repository.
- Click on the
Forkbutton in the upper right corner to create your own copy of the repository. - Clone your Fork: Clone the repository to your local machine using the following command:
git clone https://github.com/your-username/Steganographyx.git
- Install Dependencies Navigate to the cloned directory and install the required Python libraries:
pip install Pillow pycryptodome numpy pyaudio
- Make Changes: a. Make your desired changes or additions to the codebase. b. Test your Changes: Ensure that your changes work as expected and do not introduce any new issues. c. Commit your Changes: Commit your changes with a descriptive commit message:
git add .
git commit -m "Your descriptive commit message"
- Push Changes to your Fork: Push your changes to your fork on GitHub:
git push origin master
- Create a Pull Request (PR):
- Go to your fork on GitHub and click on the "New Pull Request" button.
- Provide a meaningful title and description for your pull request.
- Submit the pull request.
- Project Structure- The Steganographyx project is organized into two main sections: Image Steganography and Wave Audio Steganography. Each section has its set of classes and methods: Image Steganography:
Encode class: Handles encoding (hiding) secret messages within images. Decode class: Handles decoding (extracting) secret messages from images. Wave Audio Steganography:
ExtractWaveGUI class: Provides a GUI for extracting hidden messages from wave audio files. HiddenWaveGUI class: Provides a GUI for hiding messages in wave audio files.
Steganography is the technique of hiding data within an ordinary, nonsecret file or message to avoid detection; the hidden data is then extracted at its destination. Steganography use can be combined with encryption as an extra step for hiding or protecting data. The word steganography is derived from the Greek word steganos, meaning "hidden or covered," and the Greek root graph, meaning "to write."
Steganography can be used to conceal almost any type of digital content, including text, image, video or audio content. The secret data can be hidden inside almost any other type of digital content. The content to be concealed through steganography -- called hidden text -- is often encrypted before being incorporated into the innocuous-seeming cover text file or data stream. If not encrypted, the hidden text is commonly processed in some method to increase the difficulty of detecting the secret content.
The steganography program provided is a Python application that facilitates hiding and extracting secret messages in various media, including images and wave audio files. The program utilizes cryptographic techniques to encode and decode messages securely.
To use Steganographyx, follow these steps:
- Clone the repository:
git clone https://github.com/athrvadeshmukh/Steganographyx.git
Ensure you have the following Python libraries installed to run the program:
pip install Pillow
Crypto.Cipher (PyCryptoDome): Provides cryptographic algorithms for secure message encoding and decoding.
pip install pycryptodome
pip install numpy
pip install pyaudio
class Encode Purpose: Handles encoding (hiding) secret messages within images. Methods: init(image_path, password, text_to_encode): Initializes the Encode object with the image path, password, and text to be encoded. is_password_valid(): Checks if the supplied password is valid. is_text_valid(): Checks if the supplied text to be encoded is valid. is_image_path_valid(): Checks if the supplied image path is valid and the image file exists. get_text_binary(): Generates the binary equivalent of the text to be encoded. encode_into_image(): Hides/encodes the binary data into the image using LSB modification. are_values_valid(): Validates the password, image path, and text before encoding. class Decode Purpose: Handles decoding (extracting) secret messages from images. Methods: init(image_path, password): Initializes the Decode object with the image path and password. is_password_valid(): Checks if the supplied password is valid. is_image_path_valid(): Checks if the supplied image path is valid and the image file exists. get_decoded_text(bytes_string): Decrypts the extracted bytes string to obtain the original text. decode_from_image(): Extracts the encoded binary data from the image. are_values_valid(): Validates the password and image path before decoding.
class ExtractWaveGUI Purpose: Provides a GUI for extracting hidden messages from wave audio files. Methods: init(root): Initializes the GUI window and sets up the necessary components. create_widgets(): Creates the GUI components, including labels, entry widgets, and buttons. browse_audio(): Opens a file dialog for selecting a wave audio file. extract_message(): Extracts and displays the hidden message from the selected wave audio file. class HiddenWaveGUI Purpose: Provides a GUI for hiding messages in wave audio files. Methods: init(root): Initializes the GUI window and sets up the necessary components. create_widgets(): Creates the GUI components, including labels, entry widgets, and buttons. display_logo(): Displays a logo image in the GUI. browse_audio(): Opens a file dialog for selecting a wave audio file. browse_output(): Opens a file dialog for selecting the output path and filename. hide_message(): Hides the entered message in the selected wave audio file and saves the result.
Ensure the required libraries are installed (Pillow, pycryptodome, Numpy, Tkinter, Wave). Run the respective scripts for image steganography (encryptstego.py) or wave audio steganography (encode_audio.py and decode_audio.py). Follow the GUI instructions to select input files, enter messages, and perform encoding or decoding.
Image steganography modifies the least significant bit (LSB) of each pixel's channels to hide the message. Wave audio steganography modifies the LSB of each audio frame to hide the message. The length of the message affects the number of frames modified in wave audio steganography. Feel free to reach out if you have any questions or need further assistance!
Copyright 2023 Athrva Deshmukh License
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. Steganographyx is licensed under the Apache License, Version 2.0. See the License file for more details. Copyright 2023 ATHRVA DESHMUKH