收稿日期: 2009-11-23
修回日期: 2010-01-18
网络出版日期: 2010-05-15
基金资助
国家863计划项目(2007AA01Z465)、国家自然科学基金(60970028)、国家自然科学基金重点项目(60633030)和国家自然科学基金面上项目(60573049)资助
JPEG image steganalysis based on characteristic function and quality factor
Received date: 2009-11-23
Revised date: 2010-01-18
Online published: 2010-05-15
邓艺 , 赵险峰 , 冯登国 . 基于特征函数和质量因子的JPEG图像隐写分析[J]. 中国科学院大学学报, 2010 , 27(3) : 389 -396 . DOI: 10.7523/j.issn.2095-6134.2010.3.013
In this paper, we proposed a new JPEG universal steganalytic scheme. By analyzing JPEG quantization model and steganographic model in DCT domain and wavelet domain, the study shows difference of quantization noise and embedding noise. Features calculated from the characteristic functions of JPEG individual histograms and wavelet subbands histograms are used to discriminate them. We categorize JPEG images based on quality factor and train different SVM classifier for individual categories. Experiments show that our method has better performance than some exiting JPEG universal steganalytic methods.
[1] Johnson N, Jajodia S. Exploring steganography: seeing the unseen
[J]. IEEE Computer, 1998, 31(2):26-34.
[2] Johnson N, Jajodia S. Steganalysis of images created using current steganography software //Aucsmith D. Information Hiding. Berlin/Heidelberg: Springer-Verlag, 1998: 273-289.
[3] Provos N. Defending against statistical steganalysis //Wallach D S. USENIX Security Symposium. Berkeley: USENIX Association, 2001: 24-24.
[4] Westfeld A. F5-a steganographic algorithm: High capacity despite better steganalysis //Moskowitz I S. Information Hiding. Berlin/Heidelberg: Springer-Verlag, 2001: 289-302.
[5] Lyu S, Farid H. Steganalysis using higher-order image statistics
[J]. IEEE Transactions on Information Forensics and Security, 2006, 1(1): 111-119.
[6] Fridrich J. Feature-based steganalysis for JPEG images and its implications for future design of steganographic schemes //Fridrich J. Information Hiding. Berlin/Heidelberg: Springer-Verlag, 2005: 67-81.
[7] Pevny T, Fridrich J. Multi-class detector of current steganographic methods for JPEG format
[J]. IEEE Transactions on Information Forensics and Security, 2008, 3(4): 635-650.
[8] Xuan G, Shi Y Q, Gao J, et al. Steganalysis based on multiple features formed by statistical moments of wavelet characteristic functions //Barni M, Herrera J, Katzenbeisser S, et al. Information Hiding. Berlin/Heidelberg: Springer-Verlag, 2006: 262-277.
[9] Shi Y Q, Chen C, Chen W. A markov process based approach to effective attacking JPEG steganography //Camenisch J L, Collberg C S, Johnson N F, et al. Information Hiding. Berlin/Heidelberg: Springer-Verlag, 2007: 249-264.
[10] Lam E Y, Goodman J W. A mathematical analysis of the DCT coefficient distributions for images
[J]. IEEE Transactions on Image Processing, 2000, 9(10): 1661-1666.
[11] Chen B, Wornell G W. Quantization index modulation methods for digital watermarking and information embedding of multimedia
[J]. Journal of VLSI Signal Processing, 2001, 27(1-2):7-33.
[12] Mallat S. A theory for multiresolution signal decomposition: The wavelet representation
[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1989, 11(7): 674-693.
[13] Pizurica A, Philips W. Estimating the probability of the presence of a signal of interest in multiresolution single and multiband image denoising . IEEE Transactions on Image Processing, 2006, 15(3): 654-665.
[14] Schaefer G, Stich M. UCID-An uncompressed color image database . Technical Report, School of Computing and Mathematics, Nottingham Trent University, UK, 2003.
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