Steganoanalytical Method Based on the Analysis of Singular Values of Digital Image Matrix Blocks

The rapid development of digital steganography over the past decade involving numerous scientific publications in the open press, devoted to the new steganomethods and algorithms, have led to the possibility of wide use of the results obtained. At the same time, the organization of a steganographic channel can lead to various kinds and degrees of negative consequences both for individuals and for society as a whole. Because of this, the need and relevance of providing effective digital image steganalysis is currently increasing. One of the most widely used steganographic methods today is the LSB-method. The specific area of its application is in the organization of a hidden low bandwidth communication channel. Under these conditions, the existing steganalitic methods turn out to be ineffective. The aim of this paper is to increase the efficiency of image steganalysis in the conditions of low bandwidth of a covert channel organized by the LSB-method. Achieving this aim is carried out by developing a new method based on the analysis of the normalized separation of the maximum singular numbers of the image matrix blocks. The algorithmic implementation of the developed method is superior in efficiency when compared to the existing modern analogues, in terms of the covert channel for bandwidth values of less than 0.1 bpp. An important information component of the results of the proposed method is its ability to determine the cover-image quality factor of the primary lossy compression.