Blind source separation for steganalytic secret message estimation

Aruna Ambalavanan; R. Chandramouli

doi:10.1117/12.704726

27 February 2007 Blind source separation for steganalytic secret message estimation

Aruna Ambalavanan, R. Chandramouli

Proceedings Volume 6505, Security, Steganography, and Watermarking of Multimedia Contents IX; 650507 (2007) https://doi.org/10.1117/12.704726
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

A blind source separation method for steganalysis of linear additive embedding techniques is presented. The paper formulates steganalysis as a blind source separation problem -- statistically separate the host and secret message carrying signals. A probabilistic model of the source distributions is defined based on its sparsity. The problem of having fewer observations than the number of sources is effectively handled exploiting the sparsity and a maximum a posteriori probability (MAP) estimator is developed to chose the best estimate of the sources. Experimental details are provided for steganalysis of a discrete cosine transform (DCT) domain data embedding technique.

Citation Download Citation

Aruna Ambalavanan and R. Chandramouli "Blind source separation for steganalytic secret message estimation", Proc. SPIE 6505, Security, Steganography, and Watermarking of Multimedia Contents IX, 650507 (27 February 2007); https://doi.org/10.1117/12.704726

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