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Báo cáo hóa học: " Research Article Reliable Steganalysis Using a Minimum Set of Samples and Features"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Reliable Steganalysis Using a Minimum Set of Samples and Features | Hindawi Publishing Corporation EURASIP Journal on Information Security Volume 2009 Article ID901381 13 pages doi 10.1155 2009 901381 Research Article Reliable Steganalysis Using a Minimum Set of Samples and Features Yoan Miche 1 2 Patrick Bas 2 Amaury Lendasse 1 Christian Jutten EURASIP Member 2 and Olli Simula1 1 Laboratory of Information and Computer Science Helsinki University of Technology P.O. Box 5400 FI-02015 HUT Finland 2 GIPSA-Lab 961 rue de la Houille Blanche BP 46 F-38402 Grenoble Cedex France Correspondence should be addressed to Yoan Miche ymiche@cc.hut.fi Received 1 August 2008 Revised 14 November 2008 Accepted 13 March 2009 Recommended by Miroslav Goljan This paper proposes to determine a sufficient number of images for reliable classification and to use feature selection to select most relevant features for achieving reliable steganalysis. First dimensionality issues in the context of classification are outlined and the impact of the different parameters of a steganalysis scheme the number of samples the number of features the steganography method and the embedding rate is studied. On one hand it is shown that using Bootstrap simulations the standard deviation of the classification results can be very important if too small training sets are used moreover a minimum of 5000 images is needed in order to perform reliable steganalysis. On the other hand we show how the feature selection process using the OP-ELM classifier enables both to reduce the dimensionality of the data and to highlight weaknesses and advantages of the six most popular steganographic algorithms. Copyright 2009 Yoan Miche et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. Introduction Steganography has been known and used for a very long time as a way to exchange information in an unnoticeable manner between parties