Image Steganalysis Based on Dependencies between Wavelet Coefficients and Support Vector Machine

摘要：

In the paper,a new blind image steganalysis scheme for spatial domain image steganography is proposed.Markov-empirical transition matrices are used to extract from wavelet coefficients.Support Vector Machine(SVM) is applied asclassifier to distinguish between cover images and stego images.The experiments on LSB matching and stochastic modulation steganography show the method can detect uncompressed stego images reliably.

关键词： steganalysis wavelet coefficient Support Vector Machine(SVM)

作者: Peng Jianyang Pan Feng Zhang Mingqing Li Jun

作者单位: Network and Information Security Key Lab.,Electronics Dept.Eng.College of the Armed Police Force Xian,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 200-202

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）