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Steganographic techniques have been used for centuries. Using steganography, secret messages can be embedded inside a piece of unsuspicious information and sending it without anyone's knowledge about the existence of the secret message. Steganalysis is the mechanism of detecting the presence of hidden information in the stego media and it can lead to the prevention of disastrous security incidents...
45 dimensional feature vectors were extracted from DCT and spatial domains of images to defeat steganographic schemes in this paper. Compared with commonly used steganalytic algorithms, the presented method offers much better performances in double JPEG compressed covers and their stegos. However, when our method was applied to detect whether multiple sources of images containing hidden data or not,...
The criterion for detecting hidden data in the fractal code of images has been suggested in the article. The approach consisting in estimating steganographic threats of every record in the fractal code has been used. This estimation has been based on the special features of fractal compression. The number of the positively estimated blocks has been used for drawing a general conclusion about the possible...
In this paper we present a novel LSB matching steganalysis method based on feature vectors derived from co-occurrence matrix in spatial domain, which is sensitive to data embedding process. This matrix is derived from an image that some of its most significant bit planes are removed. By this preprocessing in addition to decrease the size of feature vector also preserve effects of embedding. We investigate...
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