Geodesic
Quantitative steganalysis using binary classifier
Prikladnaya Diskretnaya Matematika. Supplement, no. 7 (2014), pp. 78-80

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In this paper, the problem of determining secret message length using binary steganalytic classifier is researched. It is assumed that a steganalyst is able to cut a large stego image into $k$ smaller images and to apply the binary classification to every one of them. According to the information-theoretic approach to the steganographic security, a steganalyst's expected error calculation formula is derived. Determining the optimal choice of $k$ depended on the properties of a binary classifier and a given image is formulated as a minimization problem. Presented approach can be used to estimate impact of various parameters on stegosystem security against quantitative steganalysis.
Keywords: quantitative steganalysis, binary classification. 
@article{PDMA_2014_7_a34,
     author = {E. V. Razinkov and A. N. Almeev},
     title = {Quantitative steganalysis using binary classifier},
     journal = {Prikladnaya Diskretnaya Matematika. Supplement},
     pages = {78--80},
     publisher = {mathdoc},
     number = {7},
     year = {2014},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/PDMA_2014_7_a34/}
}
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E. V. Razinkov; A. N. Almeev. Quantitative steganalysis using binary classifier. Prikladnaya Diskretnaya Matematika. Supplement, no. 7 (2014), pp. 78-80. http://geodesic.mathdoc.fr/item/PDMA_2014_7_a34/