Steganalysis Method of JPEG Images for MME
Kong Ron · Information Security and Communications Privacy · 2014
As one of the emerging JPEG image steganography,MME(Modified Matrix Encoding) has the advantages of large embedding capacity,small change of the image,better resistance to detection than traditional steganography algorithm,etc. Based on the Markov features, the LBP and LOCP features are proposed in this paper,which could better describe local texture of image. The Ensemble classifier should be adopted for classification. Through a large number of experiments on UCID image database,the optimal feature combination for MME algorithm could be achieved. Comparing with the traditional steganalysis methods,the proposed method in this paper has better detection accuracy.