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Blind JPEG Steganalysis Based on Correlations of DCT Cofficients in Multi-directions and Calibrations

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3 Author(s)
Wang Yong ; Dept. of Appl. Math., Inst. of Inf. Sci. & Technol., Zhengzhou, China ; Liu JiuFen ; Zhang Weiming

This paper presents a universal steganalysis scheme to detect popular JPEG steganography effectively. First, a new kind of transition probability matrix is constructed to describe correlations of the quantized DCT coefficients in the multi-directions. Second, by merging two different calibrations, a 96-dimensional feature vector is extracted, and then the SVM is trained to build the steganalyzer. The results of a series of experiments performed on 4 kinds of typical steganography in different embedding ratios show that the new method outperforms previous methods to make a more reliable blind detection for these typical stegangraphic methods.

Published in:

Multimedia Information Networking and Security, 2009. MINES '09. International Conference on  (Volume:1 )

Date of Conference:

18-20 Nov. 2009