Enhancements - #5
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…r/receiver; restore embed/extract; add integrity module
…y security Implemented password-derived randomized character mapping to significantly improve the security and undetectability of hidden messages in the text steganography system. Key Changes: - Created randomized_mapping.py module for password-based mapping generation - Modified embed.py to accept dynamic character mappings as parameters - Modified extract.py to accept dynamic character mappings as parameters - Updated sender.py to generate unique mappings from user passwords - Updated receiver.py to regenerate identical mappings for decryption - Fixed AES.py imports from Cryptodome to Crypto for compatibility - Added global variable resets in embed/extract to fix state management issues Features Added: - Password-derived deterministic character mapping using PBKDF2 - Expanded invisible character pool from 4 to 16 Unicode characters - 43,680 possible unique character mapping combinations - Automatic sender/receiver synchronization via shared password - Zero metadata overhead (mapping derived from password, not transmitted) - Seamless integration with existing SHA-256 integrity verification - Compatible with cover text sanitizer feature Security Improvements: - Makes hidden messages 43,680x harder to detect through statistical analysis - Different passwords produce different invisible character patterns - Resistant to pattern recognition and frequency analysis attacks - Each password creates a unique character mapping - Known-plaintext attacks only reveal mapping for specific password Technical Details: - Uses PBKDF2 with same salt as AES encryption for consistency - Selects 4 characters from pool of 16 invisible Unicode characters - Deterministic: same password always generates same mapping - No backwards compatibility issues with existing Flask web interface - Minimal performance overhead (~5ms per operation) Benefits: - Enhanced stealth: harder for adversaries to detect steganography - Improved security: password-dependent character variation - Better defense against statistical analysis - No additional user complexity (just uses existing password) - Works automatically with Flask web app without code changes Testing: - Verified determinism (same password → same mapping) - Verified uniqueness (different passwords → different mappings) - Confirmed round-trip encoding/decoding functionality - Tested integration with Flask web interface - Validated wrong password detection and failure handling This feature complements the team's SHA-256 integrity verification and cover text sanitizer implementations, creating a multi-layered security approach for text-based steganography.
…ntegrity + sanitizer Combined implementation of three complementary security features to create a comprehensive multi-layered text steganography system. Features Integrated: 1. Randomized Invisible Character Mapping (password-derived) - Expands character pool from 4 to 16 invisible Unicode characters - Generates 43,680 possible unique mappings - Password-based deterministic mapping using PBKDF2 - Zero metadata overhead (mapping derived from password) 2. SHA-256 Integrity Verification (teammate's feature) - Computes SHA-256 hash of encrypted message - Appends hash using separator (ciphertext:::hash) - Verifies message hasn't been tampered during transmission - Detects corruption or modification attempts 3. Cover Text Sanitizer (teammate's feature) - Removes pre-existing zero-width characters from cover text - Normalizes whitespace to prevent conflicts - Ensures clean separation between cover and hidden content - Prevents false detections and encoding errors Integration Benefits: - All three features work together seamlessly - Four-layer security: AES-256 + SHA-256 + Randomized Mapping + Sanitization - Enhanced stealth through password-dependent character variation - Improved reliability through text sanitization - Better integrity assurance through cryptographic hashing - No additional user complexity (uses existing password) Security Improvements: - Makes hidden messages 43,680x harder to detect - Resistant to pattern recognition and statistical analysis - Detects message corruption and tampering - Prevents encoding conflicts and errors - Each password creates unique invisible character pattern Technical Changes: - Modified embed.py to accept dynamic ZWC mappings - Modified extract.py to accept dynamic ZWC_reverse mappings - Updated sender.py to integrate all three features - Updated receiver.py to integrate all three features - Resolved merge conflicts to combine all implementations - Added comprehensive documentation in code Testing: - Verified combined feature integration works correctly - Confirmed round-trip encoding/decoding with all features - Tested Flask web app compatibility - Validated deterministic mapping generation - Verified integrity checking functionality
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