Steganography Detection and Hidden Data Extraction System

This project focuses on developing a steganography detection system capable of identifying hidden data embedded within images or multimedia files. It supports digital forensic investigations involving covert communication methods.

Study principles of steganography and common embedding techniques.

Analyze digital image structures and pixel data representation.

Design algorithms to detect anomalies in image pixel patterns.

Implement basic hidden data extraction methods.

Compare original and modified file sizes and metadata.

Generate reports highlighting suspected steganographic files.

Develop visualization tools to show pixel-level changes.

Test with clean and steganography-embedded files.

Evaluate detection success rates.

Document limitations and future enhancement possibilities.