Improving LSB steganalysis using marginal and joint probabilistic distributions

Authors:
Benoit Roue;Patrick Bas;Jean-Marc Chassery
Affiliations:
Laboratoires des Images et des Signaux, Grenoble, France;CNRS, Laboratoires des Images et des Signaux, Grenoble, France;CNRS, Laboratoires des Images et des Signaux, Grenoble, France
Venue:
Proceedings of the 2004 workshop on Multimedia and security
Year:
2004

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Abstract

The goal of steganalysis is to search for the presence of hidden information in numerical contents. This paper is based on a previous LSB steganalysis scheme for digital images that estimates the size of the hidden message. The accuracy of this algorithm is first outlined, then the limits are presented in order to introduce some solutions based on texture processing: analysis of histograms and coocurrence matrices are presented and their uses, to improve steganalysis using segmentation, is proposed.