A New Steganalysis Method for BPCS
Xiaozhong Pan, Shiwei Zhao · 2010
Propose a New Steganalysis Method for BPCS which base on Markov model. According to BPCS steganography algorithm destroy the continuity of images, divide the least significant bit plane of images to sub-blocks. Then calculate the complexity of the various blocks to form Markov matrix, and scan the matrix to construct the Markov model, extracting features to classification test. In the experiment use support vector machine (SVM) classifier to train and classify. Experimental results show that the method performs well for BPCS steganography algorithm.