Blind source separation for steganalytic secret message estimation

@inproceedings{Ambalavanan2007BlindSS,
  title={Blind source separation for steganalytic secret message estimation},
  author={Aruna Ambalavanan and Rajarathnam Chandramouli},
  booktitle={Security, Steganography, and Watermarking of Multimedia Contents},
  year={2007}
}
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… CONTINUE READING

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