Kernel Methods in Steganalysis

Kernel Methods in Steganalysis

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In the first part of the dissertation, a detector recognizing six popular steganographic algorithms is presented. This detector is novel in many ways. First, it not only detects the presence of a secret message, but also assigns the image to a class according to the algorithm used to embed the message. Second, it detects stego content in single-compressed as well as in double-compressed JPEG images. Third, it offers superior accuracy in comparison to prior art.D100 downsampled by a factor of 2.9 and 3.76, Sigma SD9, Canon EOS D30, Canon EOS D60, Canon PowerShot G3, Canon PowerShot G5, Canon PowerShot Pro 90IS, Canon PowerShot S100, Canon PowerShot S50, Nikon CoolPix 5700, ... All MBS2 images were embedded only with 30% of the capacity of MBS1 because during embedding of longer messages the deblocking part of MBS2 often 27.


Title:Kernel Methods in Steganalysis
Author: Tomáš Pevný
Publisher:ProQuest - 2008
ISBN-13:

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