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

Voir la notice de l'article provenant de la source Math-Net.Ru

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/}
}
TY  - JOUR
AU  - E. V. Razinkov
AU  - A. N. Almeev
TI  - Quantitative steganalysis using binary classifier
JO  - Prikladnaya Diskretnaya Matematika. Supplement
PY  - 2014
SP  - 78
EP  - 80
IS  - 7
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/PDMA_2014_7_a34/
LA  - ru
ID  - PDMA_2014_7_a34
ER  - 
%0 Journal Article
%A E. V. Razinkov
%A A. N. Almeev
%T Quantitative steganalysis using binary classifier
%J Prikladnaya Diskretnaya Matematika. Supplement
%D 2014
%P 78-80
%N 7
%I mathdoc
%U http://geodesic.mathdoc.fr/item/PDMA_2014_7_a34/
%G ru
%F PDMA_2014_7_a34
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/

[1] Kodovsky J., Fridrich J., “Steganalysis of JPEG images using rich models”, Electronic Imaging, Media Watermarking, Security, and Forensics XIV (San Francisco, CA, January 22–26, 2012), Proc. SPIE, 8303, 2012, 83030A, 13 pp. | DOI

[2] Kodovsky J., Fridrich J., “Quantitative steganalysis using rich models”, Electronic Imaging, Media Watermarking, Security, and Forensics XV (San Francisco, CA, February 3–7, 2013), Proc. SPIE, 8665, 2013, 86650O, 11 pp. | DOI

[3] Cachin C., “An information-theoretic model for steganography”, LNCS, 1525, 1998, 306–318

[4] Ker A. et al., “Moving steganography and steganalysis from the laboratory into the real world”, 1st Information Hiding and Multimedia Security Workshop (Montpellier, France, June 17–19, 2013), 45–58

[5] Filler T., Fridrich J., “Fisher information determines capacity of $\varepsilon$-secure steganography”, LNCS, 5806, 2009, 31–47