节点文献

基于高阶Markov链模型的数字图像隐写安全性评估方法

A Novel Security Evaluation Method for Digital Image Steganography Based on High-order Markov Chain Model

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 张湛瞿芳刘光杰王俊文戴跃伟王执铨

【Author】 ZHANG Zhan1,QU Fang2,3,LIU Guangjie1,WANG Junwen1,DAI Yuewei1,WANG Zhiquan1(1.School of Automation,Nanjing University of Science and Technology,Nanjing 210094,China;2.Computer Department of Minjiang University,Fuzhou 350108,China;3.School of Computer Science and Technology,Nanjing University of Science and Technology,Nanjing 210094,China)

【机构】 南京理工大学自动化学院闽江学院计算机科学系南京理工大学计算机科学与技术学院

【摘要】 为了更准确地反映隐写对载体高阶统计特性的影响,文章提出数字图像隐写高阶Markov链统计分布模型.通过对几种常用图像扫描方法构成高阶Markov链模型效果的比较,采用Hilbert扫描方式构建数字图像n阶Markov链模型,进而研究隐写对该模型经验矩阵的影响,提出评估数字图像隐写统计安全性的n阶Markov链模型统计测度,并证明其有界且在特定情况下与ε-secure安全性指标等价.实验说明了文章所提模型经验矩阵在隐写前后的改变情况,与ε-secure安全性指标和图像Markov链模型统计分布测度相比,所提模型统计分布测度对隐写引起载体高阶统计分布改变的反映更为充分.

【Abstract】 In order to re?ect more accurately the effect of steganography on the high-order statistical characteristics of cover image,a high-order Markov chain statistical model for digital image steganography is proposed.After a comparison of the results of high-order Markov chain model constructed by several common image scanning methods,an n-order Markov chain model for digital image steganography using Hilbert scanning method is adopted.Then the effect of steganography on empirical matrix of the proposed model is studied,a statistical measure for n-order Markov chain model to evaluate the statistical security of digital image steganography is proposed,and the boundedness and equivalence to ε-secure criterion in the given conditions of this measure are proved.Experiments show the changes of empirical matrix of the proposed model in cover and stego images,and comparing with ε-secure criterion and the statistical measure of Markov chain model,the changes of cover-image’s high-order statistical distribution caused by steganography are re?ected more adequately in the statistical measure of the proposed model.

【基金】 江苏省自然科学基金资助项目(BK2008403);中国博士后基金资助项目(20070421017)
  • 【文献出处】 信息与控制 ,Information and Control , 编辑部邮箱 ,2010年04期
  • 【分类号】TP391.41
  • 【被引频次】5
  • 【下载频次】164
节点文献中: 

本文链接的文献网络图示:

本文的引文网络