Research OF Multi-Direction Transition Probability Matrices Algorithm for JPEG Steganalysis

摘要：

With the rapid development of information technology and web communication technology, steganalysis is becoming an important issue in the field of information hiding. A multi direction transition probability Matrices algorithm based on Bayes decision is proposed for JPEG images steganalysis. First, the multi-direction transition probability matrices are presented for image steganalysis. It captures the correlation of DCT coefficients from eight directions. 450-dimensional feature is extracted from intra-blocks and inter-blocks, and the feature catches the changes of the image when the secret information is embedded. Then, as the feature dimension is too high, a new universal steganalysis model and Bayes decision rule are adopted. Finally, the SVM is utilized as classifier. Experiment results demonstrate that multi-direction transition probability matrices can effectively detect Jsteg, F5, OutGuess and MB1 steganagraphies. And especially for F5 steganagraphy, the detection ratio increases apparently compared with other steganalysis methods. With Bayes decision, the proposed model could effectively avoid the high dimension feature problems.

关键词： JPEG image steganalysis feature Bayes decision

作者: Jun Xiao Bin Qin Yusheng Sun Xiao Xu

作者单位: College of Information Science and Engineering,Northeastern University, China 110819 College of Information Science and Engineering, NortheasternUniversity, China PLA 65047 unit, China 110805 College of Information Science and Engineering, Northeastern University, China

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 3924-3929

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）