Инд. авторы:	Monarev V., Pestunov A.
Заглавие:	Prior classification of stego containers as a new approach for enhancing steganalyzers accuracy
Библ. ссылка:	Monarev V., Pestunov A. Prior classification of stego containers as a new approach for enhancing steganalyzers accuracy // Lecture Notes in Computer Science. - 2016. - Vol.9543. - P.445-447. - ISSN 0302-9743. - EISSN 1611-3349.
Внешние системы:	DOI: 10.1007/978-3-319-29814-6_38; РИНЦ: 27089055; SCOPUS: 2-s2.0-84960887015;
Реферат:	eng: We introduce a novel “prior classification” approach which can be employed in order to enhance the accuracy of stego detectors as well as to estimate it more subtly. The prior classification is intended for selection a subset of a testing set with such a property that a detection error, calculated over this subset, may be substantially lower than that calculated over the whole set. Our experiments demonstrated that it is possible to select about 30% of the BOSSbase images for which HUGO 0.4 bpp is detected with the error less than 0.003, while the error over the whole set is 0.141. We also demonstrated that it is possible to find about 5% of the BOSSbase images which provide the detection error for HUGO 0.1 bpp less than 0.05, while the error, calculated over the whole set, is about 0.37 which is not quite a reliable accuracy. © Springer International Publishing Switzerland 2016.
Ключевые слова:	Steganalysis; SRM features; Information hiding; HUGO; Ensemble classifiers; Steganography; Error detection; Steganalysis; SRM features; Prior classification; Information hiding; HUGO; Feature-based steganalysis; Ensemble classifier; Errors; Classification (of information);
Издано:	2016
Физ. характеристика:	с.445-447
Цитирование:	1. Bas, P., Filler, T., Pevńy, T.: Break our steganographic system: the ins and outs of organizing BOSS. In: Filler, T., Pevńy, T., Craver, S., Ker, A. (eds.) IH 2011. LNCS, vol. 6958, pp. 59-70. Springer, Heidelberg (2011) 2. Biryukov, A., Nakahara, J., Preneel, B., Vandewalle, J.: New weak-key classes of IDEA. In: Deng, R.H., Qing, S., Bao, F., Zhou, J. (eds.) ICICS 2002. LNCS, vol. 2513, pp. 315-326. Springer, Heidelberg (2002) 3. Duda, R., Hart, P., Stork, D.: Pattern classification, 2nd edn. Wiley, New York (2001) 4. Fridrich, J.: Rich models for steganalysis of dugital images. IEEE Trans. Inf. Forensics Secur. 7(3), 868-882 (2012) 5. Fridrich, J., Kodovsky, J., Holub, V., Goljan, M.: Steganalysis of content-adaptive steganography in spatial domain. In: Filler, T., Pevńy, T., Craver, S., Ker, A. (eds.) IH 2011. LNCS, vol. 6958, pp. 102-117. Springer, Heidelberg (2011) 6. Fridrich, J., Kodovsky, J., Holub, V., Goljan, M.: Steganalysis of content-adaptive steganography in spatial domain. In: Filler, T., Pevńy, T., Craver, S., Ker, A. (eds.) IH 2011. LNCS, vol. 6958, pp. 102-117. Springer, Heidelberg (2011) 7. Holub, V., Fridrich, J.: Designing steganographic distortion using directional filters. In: Proceedings 4th IEEE International Workshop on Information Forensics and Security, pp. 234-239. IEEE (2012) 8. Holub, V., Fridrich, J.: Digital image steganography using universal distortion. In: Proceedings 1th ACM Workshop Information Hiding and Multimedia Security, pp. 59-68 (2013) 9. Holub, V., Fridrich, J.: Random projections of residuals for digital image steganalysis. IEEE Trans. Inf. Forensics Secur. 8(12), 1996-2006 (2013) 10. Kara, O., Manap, C.: A new class of weak keys for blowfish. In: Biryukov, A. (ed.) FSE 2007. LNCS, vol. 4593, pp. 167-180. Springer, Heidelberg (2007) 11. Ker, A., et al.: Moving steganography and steganalysis from the laboratory into the real world. In: Proceedings 1st ACM Workshop on Information Hiding and Multimedia Security, pp. 45-58. ACM (2013) 12. Kodovsky, J., Fridrich, J., Holub, V.: Ensemble classifiers for steganalysis of digital media. IEEE Trans. Inf. Forensics Secur. 7(2), 434-444 (2011) 13. Monarev, V., Pestunov, A.: A known-key scenario for steganalysis and a highly accurate detector within it. In: Proceedings IEEE 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp. 175-178. IEEE (2014) 14. Pevny, T., Bas, P., Fridrich, J.: Steganalysis by subtractive pixel adjacency matrix. IEEE Trans. Inf. Forensics Secur. 5(2), 215-224 (2010) 15. Pevny, T.: Detecting messages of unknown length. In: Proceedings 8th Media Watermarking, Security and Forensics, pp. 1-12 (2011) 16. Pevńy, T., Filler, T., Bas, P.: Using high-dimensional image models to perform highly undetectable steganography. In: Bohme, R., Fong, P.W.L., Safavi-Naini, R. (eds.) IH 2010. LNCS, vol. 6387, pp. 161-177. Springer, Heidelberg (2010) 17. Feature Extractors for Steganalysis. http://dde.binghamton.edu/download/feature extractors/ 18. Break our watermarking system 2nd ed. http://bows2.ec-lille.fr/ 19. Break our steganographic system. http://www.agents.cz/boss/ 20. NRCS photo gallery. http://photogallery.nrcs.usda.gov/