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From Blind to Quantitative Steganalysis

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3 Author(s)
Pevny, T. ; Agent Technol. Center, Czech Tech. Univ., Prague, Czech Republic ; Fridrich, J. ; Ker, A.D.

A quantitative steganalyzer is an estimator of the number of embedding changes introduced by a specific embedding operation. Since for most algorithms the number of embedding changes correlates with the message length, quantitative steganalyzers are important forensic tools. In this paper, a general method for constructing quantitative steganalyzers from features used in blind detectors is proposed. The core of the method is a support vector regression, which is used to learn the mapping between a feature vector extracted from the investigated object and the embedding change rate. To demonstrate the generality of the proposed approach, quantitative steganalyzers are constructed for a variety of steganographic algorithms in both JPEG transform and spatial domains. The estimation accuracy is investigated in detail and compares favorably with state-of-the-art quantitative steganalyzers.

Published in:

Information Forensics and Security, IEEE Transactions on  (Volume:7 ,  Issue: 2 )

Date of Publication:

April 2012

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