全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

结合通道共生和选择集成的彩色图像隐写分析

DOI: 10.11834/jig.20150503

Keywords: 信息隐藏,隐写分析,彩色RGB图像,通道相关性,选择性集成

Full-Text   Cite this paper   Add to My Lib

Abstract:

目的为了有效对抗针对彩色图像的隐写方案,提出一种新的基于RGB格式的彩色图像隐写分析方法.方法该方法中的特征包括通道内特征和通道间特征,首先从通道内差分平面上提取共生矩阵特征构成通道内特征集合,通道内特征可以有效捕捉到每一个颜色通道内差分系数之间的相关性;然后对通道与通道相互之间的二次差分平面上提取共生矩阵特征构成通道间特征集合,通道间特征可以捕捉到两两通道之间的相关性.在分类阶段利用遗传算法对多个子分类器进行权值优化,选择权值最优的若干个子分类器,通过众数投票进行集成判决,最终获得最佳的检测性能.结果针对误检率,提出的通道共生特征比SPAM特征要降低4%~5%,而选择性集成分类器要比完全集成分类器要降低1%~2%.结论该方法具有较低的时间复杂度,适合小嵌入率的RGB格式彩色图像,在整体性能上优于已有的隐写分析方法.

References

[1]  Kong X W, Liu W F, You X G. Secret message location steganalysis based on local coherences of Hue [C]// Proceedings of the Advances in Multimedia Information Processing. Berlin: Springer-Verlag, 2005:301-311. [DOI: 10.1007/11582267_27]
[2]  Pevn? T, Filler T, Bas P. Using high-dimensional image models to perform highly undetectable steganography [C]// Proceedings of the 12th International Workshop on Information Hiding. Berlin: Springer-Verlag, 2010:161-177. [DOI: 10.1007/978-3-642-16435-4_13]
[3]  Holub V, Fridrich J. Designing steganographic distortion using directional filters [C]// Proceedings of the 4th IEEE International Workshop on Information Forensics and Security. Washington DC: IEEE Computer Society, 2012:234-239. [DOI: 10.1109/WIFS.2012.6412655]
[4]  Holub V, Fridrich J, Denemark T. Universal distortion function for steganography in an arbitrary domain [J]. EURASIP Journal on Information Security, 2014:1-13. [DOI: 10.1186/1687-417X-2014-1]
[5]  Lyu S, Fraid H. Steganalysis using color wavelet statistics and one-class support vector machines [C]// SPIE Symposium on Electronic Imaging. San Jose, CA, Bellingham: SPIE Press, 2004:35-45. [DOI: 10.1117/12.526012]
[6]  Sun W Y, Liu T T, Zhang X P, et al. Statistical features for universal steganalysis on color images [J]. Journal of Image and Graphics, 2008, 13(10):1914-1917. [孙文?, 刘婷婷, 张新鹏,等. 彩色图像通用隐写分析的多类统计特征[J]. 中国图象图形学报, 2008, 13(10):1914-1917.] [DOI: 10.11834/jig.20081024]
[7]  Qi K, Xie D Q. Steganalysis of color images based on noise model and channels integration [J]. Journal of Computer Research and Development, 2013, 50(2):307-318. [綦科, 谢冬青. 基于噪声模型和通道融合的彩色图像隐写分析[J]. 计算机研究与发展, 2013, 50(2):307-318.]
[8]  Li F Y, Zhang X P, Yu J. Steganalysis for color JPEG images based on ensemble proportion training [J]. Journal of Electronics & Information Technology, 2014, 36(1):114-120. [栗风永, 张新鹏, 余江. 结合集成比例训练的彩色JPEG图像隐写分析[J]. 电子与信息学报, 2014, 36(1):114-120.] [DOI: 10.3724/SP.J.1146.2013.00443]
[9]  Kittler J, Hatef M, Duin R, et al. On combining classifiers [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998, 20(3):226-239. [DOI: 10.1109/34.667881]
[10]  Chang C, Lin C. LIBSVM: a library for support vector machines [EB/OL]. 2012-03-02[2014-10-19]. http://www.csie.ntu.edu.tw/ cjlin/~libsvm.
[11]  Kodovsk? J, Fridrich J, Holub V. Ensemble classifier for steganalysis of digital media [J]. IEEE Transactions on Information Forensics and Security, 2012, 7(2): 432-444. [DOI: 10.1109/TIFS.2011.2175919]
[12]  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. [DOI: 10.1109/TIFS.2010.2045842]
[13]  Zhou Z H, Wu J, Tang W. Ensemble neural networks: many could be better than all [J]. Artificial Intelligence, 2002, 137(1-2):239-263. [DOI: 10.1016/S0004-3702(02) 00190-X]
[14]  United States Department of Agriculture. Nature resources conservation service photo gallery [EB/OL]. 2011-07-03[2014-10-19]. http://photogallery.nrcs.usda.gov/. 2010.
[15]  Li F Y, Zhang X P, Cheng H, et al. Digital image steganalysis based on local textural features and double dimensionality reduction [J/OL]. Security and Communication Networks. [2014-12-8]. http://Onlinelibary.wiley.com/doi/10.1002/sec.1094/full. [DOI: 10.1002/SEC.1094]
[16]  Holub V, Fridrich J. Random projections of residuals for digital image steganalysis [J]. IEEE Transactions on Information Forensics and Security, 2013, 8(12):1996-2006.
[17]  Lee K, Jung C H, Lee S J, et al. Color cube analysis for detection of LSB steganography in RGB color images [C]// Proceedings of the Computational Science and Its Applications. Berlin: Springer-Verlag, 2005:537-546. [DOI: 10.1007/11424826_57]
[18]  Ker A D. Improved detection of LSB steganography in grayscale images [C]// Proceedings of the 6th International Workshop on Information Hiding. Berlin: Springer-Verlag, 2004:97-115. [DOI: 10.1007/978-3-540-30114-1_8]
[19]  Zhang X P, Wang S Z. Efficient steganographic embedding by exploiting modification direction [J]. IEEE Signal Processing Letters, 2006, 10(11):781-783. [DOI: 10.1109/LCOMM.2006.060863]
[20]  Luo W Q, Huang F J, Huang J W. Edge adaptive image steganography based on LSB matching revisited [J]. IEEE Transactions on Information Forensic and Security, 2010, 5(2):201-214. [DOI: 10.1109/TIFS.2010.2041812]

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133