Breaking Steganography

Zichi Wang, Zhenxing Qian, Xinpeng Zhang, Guorui Feng

OAI: oai:igi-global.com:215326 • DOI: 10.4018/IJDCF.2019010109

This article describes how to overcome the shortage of steganalysis for small capacity-based embedding. A slight modification method is proposed to break steganography. For a given image, traditional steganalysis methods are first used to achieve a preliminary result. For the “clear” image judged by steganalysis, it is still suspicious because of the incompleteness of steganalysis for small capacity. Thus, slight modifications are made to break the possibility of covert communication. The modifications are made on the locations with minimal distortion to guarantee high quality of the modified image. To this end, a proposed distortion minimization based algorithm using slight modification. Experimental results show that the error rate of secret data extraction is around 50% after implementation, which indicates that the covert communication of steganography is destroyed completely.

Digital Crime & Forensics Security and Forensics IT Security and Ethics