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Proceedings Paper

Modern steganalysis can detect YASS
Author(s): Jan Kodovský; Tomáš Pevný; Jessica Fridrich
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Paper Abstract

YASS is a steganographic algorithm for digital images that hides messages robustly in a key-dependent transform domain so that the stego image can be subsequently compressed and distributed as JPEG. Given the fact that state-of-the-art blind steganalysis methods of 2007, when YASS was proposed, were unable to reliably detect YASS, in this paper we steganalyze YASS using several recently proposed general-purpose steganalysis feature sets. The focus is on blind attacks that do not capitalize on any weakness of a specific implementation of the embedding algorithm. We demonstrate experimentally that twelve different settings of YASS can be reliably detected even for small embedding rates and in small images. Since none of the steganalysis feature sets is in any way targeted to the embedding of YASS, future modifications of YASS will likely be detectable by them as well.

Paper Details

Date Published: 27 January 2010
PDF: 11 pages
Proc. SPIE 7541, Media Forensics and Security II, 754102 (27 January 2010); doi: 10.1117/12.838768
Show Author Affiliations
Jan Kodovský, Binghamton Univ. (United States)
Tomáš Pevný, Czech Technical Univ. in Prague (Czech Republic)
Jessica Fridrich, Binghamton Univ. (United States)

Published in SPIE Proceedings Vol. 7541:
Media Forensics and Security II
Nasir D. Memon; Jana Dittmann; Adnan M. Alattar; Edward J. Delp, Editor(s)

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