Steganalysis method for detecting LSB embedding in digital video, digital image sequence

Abstract

Steganography currently remains one of the most rapidly and effectively developing areas of information security. It leads to an increase in the relevance of steganalysis to avoid the negative consequences of covert communication for the purpose of illegal actions. Preference in the organization of a covert communication channel today is given to digital video. However, modern video steganalysis is behind the required level, particularly in conditions of low capacity of the covert channel. This paper is dedicated to developing a new effective steganalysis method for detecting embedded additional information in digital video (a sequence of digital images) by one of the most common steganographic methods today, which is the LSB method. The developed method is based on the sensitivity of linearity of singular vectors frequency in the corresponding original content matrices to disturbing influences. The authors determined this property in previous works. The current work established qualitative and quantitative differences between the properties of function, which represents the dependency of the singular vector frequency in the image/video frame matrix on its number for original contents and steganographic messages, which made it possible to develop an algorithmic implementation of the proposed method. The efficiency of this implementation in the case of a low capacity of a covert communication channel (<0.25 bit/pixel), including at a low frame embedding rate (<50%), exceeds the efficiency of analogues, which made it possible to increase the efficiency of steganalysis of digital video (sequence of digital images) as a whole.