Rancang Bangun Sistem Deteksi Penyisipan Data Tersembunyi pada Gambar dengan Force Decode yang Terintegrasi dengan AI

This project was developed as a D3 Information Technology final-year project to investigate the detection of hidden data in digital images using Force Decode. The system focuses on PNG images containing or suspected of containing data hidden through Least Significant Bit (LSB) steganography.

Hidden data in LSB steganography can be difficult to identify because the visual appearance of the image may remain almost unchanged. Force Decode can extract potential hidden data without requiring prior knowledge of the exact embedding parameters, but the resulting data is often unstructured and mixed with noise, making it difficult to interpret manually.

• Apply Force Decode as an exploratory approach to extract potential hidden data from PNG images using LSB analysis.
• Analyze LSB data through RGB color channels and eight different pixel-reading directions.
• Convert extracted bit sequences into raw text representations that can be examined as indications of hidden data.
• Integrate the Gemini API as an AI-assisted interpretation layer for analyzing raw Force Decode results.
• Present extraction and AI interpretation results through a web-based system for initial steganalysis.