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Published in journal "Кибернетика и программирование", 2017-2 , pages 78-87.
Resume: The article contains the studies, which are aimed at improving the precision of steganalysis in the sphere of digital image DWT. The authors analyze the causes of inaccuracy of the modern stegoanalysis methods based upon the support vectors, then they offer the directions for improving the teaching quality. In order to improve the quality of teaching support vectors machine the authors study the interrelation between the spheres of one-dimensional and two-dimensional DWT and the influence of the changes in the coefficients of the high frequency spheres of the two-dimensional DWT upon the coefficient spheres of the one-dimensional DWT. The steganographic influence involves the change in the value of the lower meaning bit coefficients of the DWT. Considering the study results the authors develop an original method, guaranteeing greater precision in the sphere of finding incorporated information in the high frequency areas of the two-dimensional DWT image. In order to prove the precision of the original method, the authors compare it with some modern steganalysis methods. Experimental results of a comparative study prove that the original method provides for greater precision (generally 10-15% higher than other evaluated methods) when detecting the fact of steganographic influence in high frequency areas of HL and LH of the two-dimensional DWT. The original method also provides for the same precision in the high frequency HH area, as do other modern methods evaluated in this article.
Keywords: DVT, steganalysis, support vector machine , data hiding, steganogram, efficiency of steganalysis, machine learning , passive attack, binary classification, steganography
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