A novel universal steganalyser design: “LogSv”

This paper introduces a novel universal steganalysis method in order to attack especially spatial domain steganographic algorithms. The basic idea behind the proposed method is twofold: The first is the capability of modeling linear dependencies of image rows/columns in local neighborhoods and the second is the normalization of different energy levels for different images. This idea is simply realized with integrating the logarithms of singular values calculated over image sub blocks resulting to a novel staganalyser, named as "LogSv". We consider three popular spatial domain steganographic algorithms; LSB, Hide4pgp, Steghide, five DCT domain steganographic algorithms; F5, Outguess, JP Hide&Seek, MB1, MB2 and PQ. Performance of the proposed method is compared with the state-of-the-art steganalysers.