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Proceedings Paper

Study of cover source mismatch in steganalysis and ways to mitigate its impact
Author(s): Jan Kodovský; Vahid Sedighi; Jessica Fridrich
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Paper Abstract

When a steganalysis detector trained on one cover source is applied to images from a different source, generally the detection error increases due to the mismatch between both sources. In steganography, this situation is recognized as the so-called cover source mismatch (CSM). The drop in detection accuracy depends on many factors, including the properties of both sources, the detector construction, the feature space used to represent the covers, and the steganographic algorithm. Although well recognized as the single most important factor negatively affecting the performance of steganalyzers in practice, the CSM received surprisingly little attention from researchers. One of the reasons for this is the diversity with which the CSM can manifest. On a series of experiments in the spatial and JPEG domains, we refute some of the common misconceptions that the severity of the CSM is tied to the feature dimensionality or their “fragility.” The CSM impact on detection appears too difficult to predict due to the effect of complex dependencies among the features. We also investigate ways to mitigate the negative effect of the CSM using simple measures, such as by enlarging the diversity of the training set (training on a mixture of sources) and by employing a bank of detectors trained on multiple different sources and testing on a detector trained on the closest source.

Paper Details

Date Published: 19 February 2014
PDF: 12 pages
Proc. SPIE 9028, Media Watermarking, Security, and Forensics 2014, 90280J (19 February 2014); doi: 10.1117/12.2039693
Show Author Affiliations
Jan Kodovský, Binghamton Univ. (United States)
Vahid Sedighi, Binghamton Univ. (United States)
Jessica Fridrich, Binghamton Univ. (United States)

Published in SPIE Proceedings Vol. 9028:
Media Watermarking, Security, and Forensics 2014
Adnan M. Alattar; Nasir D. Memon; Chad D. Heitzenrater, Editor(s)

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