图像隐写系统模糊相对熵安全性测度研究

doi:10.3969/j.issn.0372-2112.2012.08.004

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (2152 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要模糊相对熵可很好地度量两个模糊集之间的差异.文章根据隐写通信过程的不确定性,定义了隐写系统n阶Markov链模型的模糊经验矩阵,提出了隐写系统的模糊相对熵和加权模糊相对熵安全性测度,证明了该安全性测度的非负性、交换性和一致性.此外,由该测度可推导出各种确定模式下安全性测度.仿真实验表明,与同模型下的确定模式安全性测度相比,模糊相对熵及加权模糊相对熵安全性测度对隐写算法安全性的度量能力更强,且随着阶数的增加,对应安全性测度的度量能力增强.隐写算法设计实验也表明模糊相对熵安全性测度可更好地指导设计高安全性的隐写算法.

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	欧阳春娟
	李霞
	李斌

关键词 ：隐写系统, 模糊相对熵, 马尔可夫模型, 安全性测度

Abstract：Fuzzy relative entropy is capable of measuring the difference between two fuzzy sets.According to the indeterminacy of steganography communication,a fuzzy empirical matrix for n-th order Markov model is defined.New security measures in terms of fuzzy relative entropy and weighted fuzzy relative entropy are introduced for steganographic system.These new security measures are proved to be nonnegative,symmetric and uniform.Furthermore,some existing security measures under a deterministic data statistical distribution model can be derived from the proposed security measures.Simulation results show the new security measures have better evaluating ability than the existing deterministic security measures under the same modeling condition.In addition,the higher the order of the Markov model,the better the measuring ability of the proposed security measures.The proposed security measures may also provide more insights for designs of secure steganographic algorithms.

Key words： steganographic system fuzzy relative entropy Markov model security measure

收稿日期: 2011-11-10

ZTFLH:

TP309.2

基金资助:

国家自然科学基金(No.61171124,No.61103174);广东省科技计划项目(No.2011B010200045);广东省高校优秀青年创新人才基金(No.LYM10116)

通讯作者: 李斌男,1982年出生于广东省深圳市.深圳大学讲师、博士.研究方向为信息隐藏及模式识别. E-mail:libin@szu.edu.cn E-mail: libin@szu.edu.cn

作者简介: 欧阳春娟 女,1974年出生于江西省吉安市.深圳大学信息工程学院博士研究生,主要研究方向为信息隐藏及隐写分析. E-mail:oycj001@163.com 李霞 女,1968年出生于四川省乐山市.深圳大学教授、博士生导师.主要研究方向为智能优化、智能计算及应用. E-mail:lixia@szu.edu.cn

引用本文:

欧阳春娟, 李霞, 李斌. 图像隐写系统模糊相对熵安全性测度研究[J]. 电子学报, 2012, 40(8): 1515-1522. OUYANG Chun-juan, LI Xia, LI Bin. Fuzzy Relative Entropy Security Measures for Image Steganographic System. Chinese Journal of Electronics, 2012, 40(8): 1515-1522.

链接本文:

http://www.ejournal.org.cn/CN/10.3969/j.issn.0372-2112.2012.08.004 或 http://www.ejournal.org.cn/CN/Y2012/V40/I8/1515

[1] 王朔中,张新鹏,张卫明.以数字图像为载体的隐写分析研究进展[J].计算机学报,2009,32(7):1247-1263. Wang Shuo-Zhong,Zhang Xin-Peng,Zhang Wei-Ming.Recent advances in image-based steganalysis research [J].Chinese Journal of Computers,2009,32(7):1247-1263.(in Chinese)

[2] Ross Anderson.Why information security is hard—an economic perspective.Proceedings of 17th Annual Computer Security Applications Conference.Washington,DC:IEEE Press,2001.39-40.

[3] 张良.一种基于幅度预测的隐写分析方法[J].电子学报,2010,38(11):2704-2707. ZHANG Liang.A Steganalysis scheme using magnitude prediction [J].Acta Electronica Sinica,2010,38(11):2704-2707.(in Chinese)

[4] 毛家发,钮心忻,杨义先,时书剑.基于JPEG净图定量描述的隐写分析方法[J].电子学报,2011,39(8):1907-1912. Mao Jia-fa,Niu Xin-xin,YANGYi-xian,Shi Shu-jia.Steganalysis method based on JPEG cover image quantitative describing [J].Acta Electronica Sinica,2011,39(8):1907-1912.(in Chinese)

[5] Cachin C.An information-theoretic model for Steganography [J].Information and Computation,2004,192(1):41-56.

[6] Sullivan K,Madhow U,Chandrasekaran S,et al.Steganalysis for Markov cover data with applications to images [J].IEEE Transactions on Information Forensics and Security,2006,1(2):275-287.

[7] 张湛,刘光杰,王俊文等.基于图像高阶Markov链模型的扩频隐写分析[J].电子学报,2010,38(11):2578-2584. Zhang Zhan,Liu Guangjie,Wang Junwen,et al.Steganalysis of spread spectrum image steganography based on high-order Markov chain model [J].Acta Electronica Sinica,2010,38(11):2578-2584.(in Chinese)

[8] 张湛,瞿芳,刘光杰等.基于高阶Markov链模型的数字图像隐写安全性评估方法[J].信息与控制,2010,39(4):455-461. Zhang Zhan,Qu Fang,Liu Guangjie,et al.A novel security evaluation method for digital image steganography based on high-order Markov chain model [J].Information and Control,2010,39(4):455-461.(in Chinese)

[9] Pevn ý T,J Fridrich.Benchmarking for steganography.Proceedings of the 10th Information Hiding International Workshop.Berlin:Springer Verlag,2008.251-267.

[10] 王维琼.模糊信息度量的拓展及应用.西北大学,2005.7-10. Wang Weiqiong.Expansion and application of the fuzzy information measure.Northwest University,2005.7-10.(in Chinese)

[11] Xie Weixin,Bedrosian S D.Information measure for fuzzy sets [J].IEEE Transactions on System,Man and Cybernetics,1984,14(1):151-156.

[12] 胡为,胡静涛.加权模糊相对熵在电机转子故障模糊识别中的应用[J].信息与控制,2009,38(3):326-329. Hu Wei,Hu Jingtao.Application of weighted fuzzy relative entropy to fuzzy recognition of motor rotor fault [J].Information and Control,2009,38(3):326-329.(in Chinese)

[13] Sharp T.An implementation of key-based digital signal steganography [J].Proceedings of Information Hiding Workshop,2001,2137:13-26.

[14] 戴跃伟,刘光杰,叶曙光.基于Hilbert填充曲线的自适应隐写[J].电子学报,2008,36(12A):35-38. Dai Yuewei,Liu Guangjie,Ye Shuguang.Adaptive steganography based on Hilbert filling curve [J].Acta Electronica Sinica,2008,36(12A):35-38.(in Chinese)

[15] United States Department of Agriculture,Natural resources conservation service photo gallery. http://photo gallery.nrcs.usda.gov,2002.

[16] BOWS-2 database of 10,000 watermarked images.http://bows2.gipsa-lab.inpg.fr/BOWS2Image DataBase.tgz.2008.

[17] Xuan G,Shi Y,Gao J,et al.Steganalysis based on multiple features formed by statistical moments of wavelet characteristic functions [J].Computer Science,2005,3727:262-265.