Universal Steganalysis to Images with WBMC model

摘要：

We propose a Wavelet based Markov Chain WBMC) model for nature images, which can present statistic divergence between cover image and steg image prominently. Based on Markov chain empirical matrix, we discussed the difference between low frequency domain and high frequency domain generalized by steg process, and then defined two models: WBMC_L model and WBMC_H model respective to construct our WBMC model. This model relied most on the statistic relativity of coefficients. At last, many experiment results are given to support our theory.

关键词： steganalysis Markov Chain wavelet coefficients

作者: Xiaoyuan Yang Shifeng Wang Jia Liu

作者单位: Dept.of Electronics Technology,Engineering College of Armed Police Force Xian,China

会议类型: 国际会议

会议名称: The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)

会议地点: 西安

会议语种:英文

页码: 627-630

在线出版日期: 2009-08-18（万方平台首次上网日期，不代表论文的发表时间）