Bhattacharyya Distance for Blind Image Steganalysis
This paper explores Bhattacharyya Distance principle and introduces it to recognize stego algorithms in use. First of all, we select the most important features by the means of applying Bhattacharyya distance. Then, BP neural network is used to classify cover and stego images. Extensive experimental works show that the proposed schemes have satisfactory performance on Jpeg steganography like F5, Outguess, Jsteg and MB2.
Steganalysis Multi-classification Bhattacharyya Distance
Ke Ke Tao Zhao Ou Li
Information Science and Technology Institute, Zhengzhou, China, 450002
国际会议
南京
英文
658-661
2010-11-01（万方平台首次上网日期，不代表论文的发表时间）