An Improved Steganalysis Method Using Feature Combinations

This paper proposes a new feature extraction method for steganalysis. In the improved method, the feature set is equipped with two parts. The first part is obtained by employing an existing feature extraction method on a suspicious image. With a content-correlative operation, differences of the image features are enlarge between the cover and the stego. The second part is obtained by employing the same feature extraction method on the obtained image. The two parts are combined together to form the new feature set. With the new feature set, the modifications made by steganography can be recognized more efficiently. Experimental results show that the detection accuracy of existing feature extraction methods is increased using the proposed method.

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