STEGANALYTICAL MODULЕ FOR INSERT DETECTION IN LOW STEGO-PAYLOAD IMAGES
D. E. Vilkhovsky Dostoevsky Omsk State University
Annotation: The paper describes a business-logic and results of the stegoanalysis software, a stegoanalytical module based on the algorithms developed by the author for image steganalysis, which enables to detect embeddings even with low stego-payload (10–25 % of the total). The solution is aimed at improving the enterprise information security by detecting media files (images) containing embeddings and preventing unauthorized transfer of such files or viewing and extracting the received hidden message as well as preventing the installation of malware, the module of which is embedded in the image with the steganography. The software package works with embeddings by the Koch – Zhao method and LSB-replacement methods.
Keywords: steganalysis, steganographic analysis, stegocontainer analysis, LSB-insert detection, DCT-insert detection, Koch – Zhao method
Pages 9–17