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Proceedings Paper

Model-based steganalysis using invariant features
Author(s): Tu-Thach Quach; Fernando Pérez-González; Gregory L. Heileman
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Paper 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.

Paper Details

Date Published: 4 February 2009
PDF: 8 pages
Proc. SPIE 7254, Media Forensics and Security, 72540B (4 February 2009); doi: 10.1117/12.810507
Show Author Affiliations
Tu-Thach Quach, Univ. of New Mexico (United States)
Fernando Pérez-González, Univ. de Vigo (Spain)
Gregory L. Heileman, Univ. of New Mexico (United States)

Published in SPIE Proceedings Vol. 7254:
Media Forensics and Security
Edward J. Delp; Jana Dittmann; Nasir D. Memon; Ping Wah Wong, Editor(s)

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