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Translation-based steganography (TBS) is a kind of famous text steganography. In this paper, we examine the robustness of TBS and give an effective detection algorithm for TBS. Our algorithm can not only distinguish between natural language text and stego-text which was generated by TBS, but also can distinguish between machine translated text and stego-text. The detection accuracy increases as the...
A new steganalysis method is proposed to detect the exists of hidden information using character substitution in texts. This is done by utilizing Support Vector Machine (SVM) as a classifier to classify the characteristic vector input into SVM. The most important step of this detection algorithm is the construction of a proper characteristic vector. Under the prerequisite that the secret bits to be...
In this study, two kernel-based classifiers are applied to hyperspectral image classification. One is the kernel Gaussian classifier, and the other is the kernel k-nearest-neighbor classifier. For classification in feature space, the data are mapped from the input-space into a higher dimensional feature space by utilizing a nonlinear transformation, and then we can perform the k-nearest-neighbor classifier...
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