New blind steganalysis and its implications

@inproceedings{Goljan2006NewBS,
  title={New blind steganalysis and its implications},
  author={Miroslav Goljan and Jessica J. Fridrich and Taras Holotyak},
  booktitle={Security, Steganography, and Watermarking of Multimedia Contents},
  year={2006}
}
The contribution of this paper is two-fold. First, we describe an improved version of a blind steganalysis method previously proposed by Holotyak et al. and compare it to current state-of-the-art blind steganalyzers. The features for the blind classifier are calculated in the wavelet domain as higher-order absolute moments of the noise residual. This method clearly shows the benefit of calculating the features from the noise residual because it increases the features’ sensitivity to embedding… CONTINUE READING
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References

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On Embedding Efficiency in Steganography,

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Memon : “ Benchmarking Steganographic and Steganalytic Techniques

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