Model-based steganalysis using invariant features

Tu-Thach Quach; Fernando Pérez-González; Gregory L. Heileman

doi:10.1117/12.810507

4 February 2009 Model-based steganalysis using invariant features

Tu-Thach Quach, Fernando Pérez-González, Gregory L. Heileman

Proceedings Volume 7254, Media Forensics and Security; 72540B (2009) https://doi.org/10.1117/12.810507
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

One of the biggest challenges in universal steganalysis is the identification of reliable features that can be used to detect stego images. In this paper, we present a steganalysis method using features calculated from a measure that is invariant for cover images and is altered for stego images. We derive this measure, which is the ratio of any two Fourier coefficients of the distribution of the DCT coefficients, by modeling the distribution of the DCT coefficients as a Laplacian. We evaluate our steganalysis detector against three different pixel-domain steganography techniques.

Citation Download Citation

Tu-Thach Quach, Fernando Pérez-González, and Gregory L. Heileman "Model-based steganalysis using invariant features", Proc. SPIE 7254, Media Forensics and Security, 72540B (4 February 2009); https://doi.org/10.1117/12.810507

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