Advanced steganography application with AI-powered analysis for secure data concealment in text and audio media.
Steganography Pro is a comprehensive application that implements state-of-the-art steganography techniques for concealing sensitive information within seemingly innocent digital media. The application leverages artificial intelligence to optimize the selection and implementation of steganography methods based on the characteristics of the cover media.
Unlike traditional steganography tools, Steganography Pro provides an intelligent approach to data hiding that adapts to the specific properties of the cover media, ensuring optimal security and capacity for each use case.
- Whitespace Variation: Encodes data using variations in whitespace characters (spaces and tabs)
- Synonym Substitution: Conceals information by replacing common words with semantically equivalent synonyms
- Binary Word Length: Embeds data by manipulating word lengths and capitalization patterns
- LSB (Least Significant Bit): Hides data in the least significant bits of audio samples
- Echo Hiding: Embeds information using echo patterns in the time domain
- Phase Coding: Conceals data by modifying the phase information of audio signals
- Intelligent Method Selection: Automatically recommends the optimal steganography technique based on media characteristics
- Security Assessment: Evaluates the robustness and detectability of steganographic implementations
- Capacity Optimization: Maximizes data hiding capacity while maintaining media quality
- Real-time Insights: Provides detailed analysis and recommendations during operations
- Vue 3 with Composition API for modern reactive UI
- SCSS with professional design system for consistent styling
- Responsive Design with mobile-first approach
- GSAP & Three.js for smooth animations and 3D effects
- Element Plus for rich UI components
- Flask RESTful API for robust backend services
- Python for core steganography algorithms
- NumPy & SciPy for scientific computing
- Librosa for audio processing
- AI Analysis Engine for intelligent optimization
- CORS support for secure cross-origin requests
steganography_pro/
βββ backend/ # Flask backend application
β βββ app.py # Main application file
β βββ config/ # Configuration files
β βββ routes/ # API route definitions
β βββ shared/ # Core steganography modules
β βββ requirements.txt # Python dependencies
β βββ run.py # Application runner
βββ frontend/ # Vue.js frontend application
β βββ src/ # Source code
β β βββ components/ # Reusable Vue components
β β βββ views/ # Page components
β β βββ router/ # Vue Router configuration
β β βββ styles/ # SCSS stylesheets
β β βββ main.js # Main entry point
β βββ package.json # Node.js dependencies
β βββ vite.config.js # Vite configuration
βββ docs/ # Comprehensive documentation
β βββ architecture.md # System architecture details
β βββ api.md # API documentation
β βββ user_guide.md # User manual
β βββ development.md # Developer guide
βββ shared/ # Shared steganography modules
βββ requirements.txt # Project dependencies
βββ README.md # This file
- Python 3.8+
- Node.js 16+
- npm 8+
-
Clone the Repository
git clone <repository-url> cd steganography_pro
-
Set Up Backend
cd backend python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate pip install -r requirements.txt
-
Set Up Frontend
cd frontend npm install
-
Start the Backend Server
# From the backend directory python app.py -
Start the Frontend Development Server
# From the frontend directory (in a new terminal) npm run dev -
Access the Application Open your browser and navigate to
http://localhost:3000(or the port indicated in the terminal)
Comprehensive documentation is available in the docs/ directory:
- Architecture: Detailed system architecture and design decisions
- API Documentation: Complete API reference and usage examples
- User Guide: Step-by-step instructions for using all features
- Development Guide: Information for contributors and developers
cd backend
python -m pytest tests/ -vcd frontend
npm run testPOST /api/text/embed- Embed message in textPOST /api/text/extract- Extract message from steganographic text
POST /api/audio/embed- Embed message in audioPOST /api/audio/extract- Extract message from steganographic audio
POST /api/ai/analyze_text- Analyze text for steganographyPOST /api/ai/analyze_audio- Analyze audio for steganography
- Method Diversity: Multiple steganography techniques to avoid detection
- AI Optimization: Intelligent method selection based on media characteristics
- Statistical Resistance: Techniques designed to minimize statistical anomalies
- Capacity Management: Balanced approach to data capacity vs. detectability
We welcome contributions from the community! Please follow these steps:
- Fork the repository
- Create a feature branch (
git checkout -b feature/AmazingFeature) - Commit your changes (
git commit -m 'Add some AmazingFeature') - Push to the branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Please read our Development Guide for detailed information on contributing.
This project is licensed under the MIT License - see the LICENSE file for details.
- Thanks to the open-source community for the libraries and tools that made this project possible
- Special recognition to the research in steganography and information security that informed this implementation
- Inspired by the need for secure, intelligent data concealment in the digital age
For support, please:
- Check the User Guide and API Documentation
- Review existing issues on GitHub
- Open a new issue if you encounter problems
- Contact the development team for feature requests
Steganography Pro - Advanced data concealment for the modern era. Protect your sensitive information with intelligent, adaptive steganography techniques.