期刊文献+

被动攻击下的信息隐藏系统性能分析 被引量:2

Analysis on the Performances of Information Hiding System under Passive Attack
下载PDF
导出
摘要 针对被动攻击下的信息隐藏系统,建立一个具体的信息隐藏统计模型,从安全性、失真距离度量、信道容量3个角度全面分析该模型.信道容量问题的求解可以抽象为1个受到平均汉明失真距离和平均安全性约束的最优化问题,只要给定需要的参数就可以运用最优化理论得到最优解,最后求解出原始载体序列和秘密信息序列均服从均匀分布时统计模型的信道容量. With respect to information hiding system under passive attacks, a concrete statistical model of information hiding system was built and its performance was analyzed, including security, distortion distance metric, and channel capacity. The solution to channel capacity can be regarded, subjected to average hamming distortion distance and average security coefficient, as an optimization problem, . As long as the required parameters are given, the optimization problem of channel capacity will be easy be solved when using optimization theory. Finally, the channel capacity of statistical model is derived on the condition that both original cover sequence and secret information sequence obey to uniform distributions.
出处 《北京邮电大学学报》 EI CAS CSCD 北大核心 2008年第3期46-49,共4页 Journal of Beijing University of Posts and Telecommunications
基金 国家"973计划"项目(2007CB311203) 高等学校博士学科点专项科研基金项目(20070013007) 国家自然科学基金项目(90604022 60473016) 北京市自然科学基金项目(4062025)
关键词 被动攻击 信息隐藏 信道容量 最优化理论 passive attack information hiding channel capacity optimization theory
  • 相关文献

参考文献4

  • 1Moulin P, O'Sullivan J A. Information-theoretic analysis of information hiding[J]. IEEE Trans on Information Theory, 2003, 49(3): 563-593.
  • 2Cachin C. An information-theoretic model for steganography[C]//Aucsmith D. Information Hiding, 2nd International Workshop, Lectures Notes in Computer Science. New York: Springer, 1998: 306-318.
  • 3Katzenbeisser S, Petitcolas F A P. Information hiding techniques for steganography and digital watermarking [M]. [S. l. ]: Artech House, 2000.
  • 4曹佳,刘文芬,张卫明.安全性限制下的隐写容量分析[J].中山大学学报(自然科学版),2004,43(A02):164-168. 被引量:2

二级参考文献1

共引文献1

同被引文献34

  • 1李荣陆,王建会,陈晓云,陶晓鹏,胡运发.使用最大熵模型进行中文文本分类[J].计算机研究与发展,2005,42(1):94-101. 被引量:95
  • 2林亚平,刘云中,周顺先,陈治平,蔡立军.基于最大熵的隐马尔可夫模型文本信息抽取[J].电子学报,2005,33(2):236-240. 被引量:48
  • 3管宇.离散信道容量的迭代算法[J].应用数学与计算数学学报,2006,20(2):19-27. 被引量:7
  • 4McElieceRJ.信息论与编码理论[M].2版.北京:电子工业出版社,2004:268-290.
  • 5RENEGAR J.A Mathematical View of Interior-Point Methods inConvex Optimization. . 2001
  • 6LIANG X B.An algebraic,analytic,and algorithmic investigation onthe capacity and capacity-achieving input probability distributions offinite-input-finite-output discrete memoryless channels. IEEE TransInf Theory . 2008
  • 7Chiang M,Boyd S.Geometric programming duals of channel capacity and rate distortion[J].IEEE Trans Inform Theory,2004,50(2):245-258.
  • 8Ben-Tal A,Teboulle M.Extension of some results for channel capacity using a generalized information measure[J].Applied Mathematics and Optimization,1988,17(1):121-132.
  • 9Liang X B.An algebraic,analytic,and algorithmic investigation on the capacity and capacityachieving input probability distributions of finite-input-finite-output discrete memoryless channels[J].IEEE Trans Inform Theory,2008,54(3):1003-1023.
  • 10Arimoto S.An algorithm for computing the capacity of arbitrary discrete memoryless channels[J].IEEE Trans Inform Theory,1972,18(1):14-20.

引证文献2

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部