Steganalysis Method of Static JPEG Images Based on Artificial Immune System


연구 분야: Strategies



학회: Automatic Control and Computer Sciences


초록

This work aims to develop the heuristic steganalysis method of static JPEG images, based on the usage of artificial immune systems that allows detecting the presence of hidden information in them with good results on image processing time. A formal description of the artificial immune system’s primary nodes and an analysis of the obtained experimental results are presented. The proposed method allows detecting the presence of hidden information embedded by various popular steganography tools (like OutGuess, Steghide, and F5) in static JPEG images with sufficiently high accuracy.


Author Profile
A. N. Shniperov

Department of Applied Mathematics and Computer Security Siberian Federal University 660041 Krasnoyarsk Russia

Andorra
Author Profile
A. V. Prokofieva

Department of Applied Mathematics and Computer Security Siberian Federal University 660041 Krasnoyarsk Russia

Andorra

📄 논문 정보

발행 연도 2020년
인용수 0
출판 국가 Andorra
사이트 Springer
좋아요 수 0

연관 논문 목록 (203건)