Towards dependable steganalysis

Tomáš Pevný; Andrew D. Ker

doi:10.1117/12.2083216

4 March 2015 Towards dependable steganalysis

Tomáš Pevný, Andrew D. Ker

Proceedings Volume 9409, Media Watermarking, Security, and Forensics 2015; 94090I (2015) https://doi.org/10.1117/12.2083216
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

Abstract

This paper considers the research goal of dependable steganalysis: where false positives occur once in a million or less, and this rate is known with high precision. Despite its importance for real-world application, there has been almost no study of steganalysis which produces very low false positives. We test existing and novel classifiers for their low false-positive performance, using millions of images from Flickr. Experiments on such a scale require considerable engineering. Standard steganalysis classifiers do not perform well in a low false-positive regime, and we make new proposals to penalize false positives more than false negatives.

Citation Download Citation

Tomáš Pevný and Andrew D. Ker "Towards dependable steganalysis", Proc. SPIE 9409, Media Watermarking, Security, and Forensics 2015, 94090I (4 March 2015); https://doi.org/10.1117/12.2083216

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