Abstract
In steganalysis, it is important to ascertain the stego algorithm. In this paper, a blind steganalysis scheme based on evidence reasoning, which is capable of assinging stego images to known steganagraphic programs, is put forward. The evidences are extracted from the dct domain, pixel domain and dwt domain. The BPA function is obtained by transforming the svm based a posterior class probability. Three different scheme are tested and compared. Experimental results reveal the fact that our scheme is more effective than others and applying the evidence reasoning into steganalysis can integrate the advantages of different features, and improve the detection rate accordingly
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