Steganalysis of JPEG images based on bilateral transition probability matrix

doi:10.3724/SP.J.1087.2013.01074

Journal of Computer Applications ›› 2013, Vol. 33 ›› Issue (04): 1074-1076.DOI: 10.3724/SP.J.1087.2013.01074

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Steganalysis of JPEG images based on bilateral transition probability matrix

ZHAO Yanli¹,WANG Xing²

1. College of Computer and Information Technology, Nanyang Normal University, Nanyang Henan 473061, China
2. School of Software, Nanyang Normal University, Nanyang Henan 473061, China

Received:2012-10-30 Revised:2012-11-30 Online:2013-04-23 Published:2013-04-01
Contact: ZHAO Yanli

基于双边转移概率矩阵的JPEG图像隐写检测

赵艳丽¹,王兴²

1. 南阳师范学院计算机与信息技术学院，河南南阳 473061
2. 南阳师范学院软件学院，河南南阳 473061

通讯作者: 赵艳丽
作者简介:赵艳丽(1978-)，女，河南南阳人，讲师, 硕士，主要研究方向：图像处理、多媒体；王兴(1974-)，男，河南南阳人，副教授，主要研究方向: 计算机网络、数据库。
基金资助:
河南省重点攻关项目(082102210067，112102210408)

Abstract

Abstract: For the typical steganographic algorithms in JPEG images, this paper firstly analyzed the correlation between neighboring coefficients of intra- and inter-block in Discrete Cosiine Transform (DCT) domain, and then extracted the conditional distribution probability matrix of the bilateral coefficients as the sensitive steganalytic features by taking the middle coefficient of three neighboring coefficients as the condition. At last, this paper proposed a JPEG image steganalytic algorithm on a basis of bilateral transition probability distribution of DCT coefficients. The experimental results show that, for different embedding ratios, the algorithm proposed in this paper outperforms the existing algorithms.

Key words: steganography, JPEG image, coefficients correlation, bilateral transition probability, steganalysis

摘要： 针对当前基于JPEG图像的典型隐写算法，基于离散余弦变换(DCT)域分块内及分块间相邻系数之间的相关性进行分析，通过将相邻三个系数的中间位置的系数作为条件，统计两边系数的条件分布概率矩阵，将提取的所得矩阵作为隐写检测敏感特征，提出了一种基于DCT系数双边转移概率分布的JPEG图像隐写检测算法。实验结果表明，在不同嵌入率下，该算法的检测性能均优于已有检测算法。

关键词: 隐写, JPEG图像, 系数相关性, 双边转移概率, 隐写检测

CLC Number:

TP309

ZHAO Yanli WANG Xing. Steganalysis of JPEG images based on bilateral transition probability matrix[J]. Journal of Computer Applications, 2013, 33(04): 1074-1076.

赵艳丽王兴. 基于双边转移概率矩阵的JPEG图像隐写检测[J]. 计算机应用, 2013, 33(04): 1074-1076.

References

［1］PEVNY T, FILLER T, BAS P. Using high-dimensional image models to perform highly undetectable steganography ［C］// Proceedings of International Workshop on Information Hiding, LNCS 6387. Berlin: Springer, 2010:161-177.

［2］WESTFELD A. F5- A steganographic algorithm- High capacity despite better steganalysis ［C］// Proceedings of the 4th International Workshop on Information Hiding, LNCS 2137. Berlin: Springer, 2001: 289-302.

［3］PROVOS N. Defending against statistical steganalysis ［C］// Proceedings of the 10th USENIX Security Symposium. Berkley: USENIX Association, 2001: 323-335.

［4］SALLE P. Model-based steganography ［C］// Proceedings of International Workshop on Digital Watermarking, LNCS 2939. Berlin: Springer, 2004: 154-167.

［5］SALE P. Model-based methods for steganography and steganalysis ［J］. International Journal of Image Graphics, 2005, 5(1): 167-190.

［6］LIN Q, SUNG A, QIAO M. Neighboring joint density-based JPEG steganalysis ［J］. ACM Transactions on Intelligent Systems and Technology, 2011, 2(2): article no. 16.

［7］XUAN G, SHI Y, HUANG C. Steganalysis using high-dimensional features derived from co-occurrence matrix and class-wise non principal components analysis (CNPCA) ［C］// Proceedings of International Workshop on Digital Watermarking, LNCS 4283. Berlin: Springer, 2006: 49-60.

［8］PEVNY T, FRIDRICH J. Merging Markov and DCT features for multi-class JPEG steganalysis ［C］// Proceedings of the SPIE Electronic Imaging, Security, Steganography, and Watermarking of Multimedia Contents IX, 2007, SPIE 6505. [S.l.]: SPIE, 2007: 650503-1-13.

［9］HUANG F, HUANG J. Calibration based universal JPEG steganalysis ［J］. Science in China Series F: Information Sciences, 2009, 52(2): 260-268.

［10］PEVNY T, BAS P, FRIDRICH J. Steganalysis by subtractive pixel adjacency matrix ［J］. IEEE Transactions on Information Forensics and Security, 2010, 5(2): 215-224.

［11］Agent Technology Center. BOSS ［EB/OL］.［2011-10-12］. http://www.agents.cz/boss/BOSSFinal/.

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Steganalysis of JPEG images based on bilateral transition probability matrix

基于双边转移概率矩阵的JPEG图像隐写检测

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