Steganalytical Module for Detecting Embeddings in Images with a Low Stego Container Filling

Steganalytical Module for Detecting Embeddings in Images with a Low Stego Container Filling

연구 분야: Strategies

학회: Automatic Control and Computer Sciences

The study describes the business logic and results of the steganalysis software, a steganalytical complex that operates on the basis of the author’s image steganalysis algorithms, which make it possible to detect embeddings even with low filling of the stego container (10–25% of the total volume). This solution is aimed at increasing the information security of an organization by identifying media files (images) containing an embedding and preventing unauthorized forwarding of such files or viewing and extraction of the received hidden message, as well as preventing the installation of malicious programs, whose module is embedded in the image using a steganographic method. The software package works with embeddings performed using the Koch–Zhao and least-significant-bit substitution (LSB-substitution) methods.