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From Blind to Quantitative Steganalysis.

Abstract:

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 betw...

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Publisher copy:
10.1109/TIFS.2011.2175918

Authors


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Institution:
University of Oxford
Department:
Oxford, MPLS, Computer Science
Role:
Author
Journal:
IEEE Transactions on Information Forensics and Security
Volume:
7
Issue:
2
Pages:
445-454
Publication date:
2012-01-01
DOI:
EISSN:
1556-6021
ISSN:
1556-6013
URN:
uuid:81a5237b-17ef-4829-99d7-ca28296f1603
Source identifiers:
321301
Local pid:
pubs:321301

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