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中国科学院大学学报 ›› 2012, Vol. ›› Issue (2): 264-270.DOI: 10.7523/j.issn.2095-6134.2012.2.018

• 计算机科学 • 上一篇    下一篇

3组隐写特征的互补性分析及其 面向空域隐写的融合

张弢1, 赵险峰1, 黄炜1, 盛任农2   

  1. 1. 中国科学院软件研究所信息安全国家重点实验室, 北京 100190;
    2. 北京电子技术应用研究所, 北京 100091
  • 收稿日期:2011-01-21 修回日期:2011-03-21 发布日期:2012-03-15
  • 通讯作者: 张弢
  • 基金资助:

    国家自然科学基金(61170281)、北京市自然科学基金(4112063)、中国科学院战略性先导科技专项课题(XDA06030600)和中国科学院信息工程研究所内部课题(Y1Z0041101)资助 

Analysis of complementarity among three sets of the features and their fusion for spatial steganography

ZHANG Tao1, ZHAO Xian-Feng1, HUANG Wei1, SHENG Ren-Nong2   

  1. 1. State Key Laboratory of Information Security, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China;
    2. Beijing Institute of Electronic Technology and Application, Beijing 100091, China
  • Received:2011-01-21 Revised:2011-03-21 Published:2012-03-15

摘要:

针对空间域隐写,分析了小波特征函数统计矩、高阶统计特征和差值像素邻接矩阵3组重要隐写特征间的互补性,利用基于互信息准则和增强特征选择的方法进行特征融合. 分析和实验表明,3组特征间存在互补性,融合后能够得到更好的正确率.

关键词: 特征选择, 特征融合, 空域隐写, 隐写分析

Abstract:

In view of spatial steganography, we discuss the complementarity among three sets of the features including statistical moments of wavelet characteristic functions, high-order statistics, and subtractive pixel adjacency matrix, and we use the mutual information criterion and boosting feature selection to fuse the features. Analytic and experimental results show that the complementarity does exist among the features and the fusion enhances accuracy of steganalysis.

Key words: feature selection, feature fusion, spatial steganography, steganalysis

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