利用自适应像素对匹配的图像纹理区隐写

doi:10.3969/j.issn.0255-8297.2016.05.004

Abstract

Abstract:

Compared with flat regions, texture-rich regions in an image are more randomlike, and therefore are more secure for hidden messages. Based on the adaptive pixel pair matching (APPM) scheme, we propose an improved steganographic algorithm that embeds secret data preferentially in texture regions. A criterion for image texture assessment is defined. According to the length of secret data, We use the the criterion to adaptively select appropriate regions for embedding. A pixel value adjustment strategy based on optimizing a minimum distortion function through local search is proposed to deal with possible abnormal situations in embedding. Experimental results show that the proposed algorithm outperforms the original APPM in terms of embedding efficiency and Kullback-Leibler divergence. It is also more robust against several representative steganalytic attacks than a number of least significant bits (LSB) algorithms and APPM.

Key words: image texture, adaptive pixel pair matching (APPM), security, Kullback-Leibler divergence

CLC Number:

TP309.7

LIU Shuo-wei, HU Yong-jian, LIU Bei-bei, HUA Xiao-qian. Texture-Based Image Steganography Using Adaptive Pixel Pair Matching[J]. Journal of Applied Sciences, 2016, 34(5): 515-526.

References

[1] Mielikainen J. LSB matching revisited [J]. IEEE on Signal Processing Letters, 2006, 13(5): 285-287.
[2] Omoomi M, Samavi S, Dumitrescu S. An efficient high payload±1 data embedding scheme[J]. Multimedia Tools and Applications, 2011, 54(2): 201-218.
[3] Zhang X, Wang S. Efficient steganographic embedding by exploiting modification direction [J]. IEEE Communications Letters, 2006, 10(11): 781-783.
[4] Chao R, Wu H, Lee C. A novel image datahiding scheme with diamond encoding [J]. Eurasip Journal on Information Security, 2009, 2009(1): 1-9.
[5] Hong W, Chen T. A novel data embedding method using adaptive pixel pair matching [J]. IEEE Transactions on Information Forensics and Security, 2012, 7(1): 176-184.
[6] Luo W, Huang F, Huang J. Edge adaptive image steganography based on LSB matching revisited [J]. IEEE Transactions on Information Forensics and Security, 2010, 5(2): 201-214.
[7] Cachin C. An information-theoretic model for steganography [J]. Information and Computation, 2004, 192(1): 41-56.
[8] Aucsmith D. Information hiding [M]. Berlin Heidelberg: Springer, 1998: 306-318.
[9] Fridrich J, Kodovsky J. Rich models for steganalysis of digital images [J]. IEEE Transactions on Information Forensics and Security, 2012, 7(3): 868-882.
[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] 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.
[12] Schaefer G, Stich M. UCID: an uncompressed color image database [C]//Proceedingof the Storage and Retrieval Methods and Applications for Multimedia. CA: San Jose, 2004: 472-480.
[13] United States Department of Agriculture. Natural resources conservation service photo gallery.[OL]. Available: http://photogallery.nrcs.usda.gov.
[14] 师夏阳,马赛兰,胡永健,周琳娜. 一种基于像素块的纹理优先自适应隐写算法[J]. 电子学报,2015, 43(6): 1094-1100. Shi X Y, Ma S L, Hu Y J, Zhou L N. A pixel block-based adaptive steganographic algorithm with embedding priority given to image textures [J]. Chinese Journal of Electronics, 2015, 43(6): 1094-1100. (in Chinese)
[15] Tan S, Li B. Targeted steganalysis of edge adaptive image steganography based on LSB matching revisited using B-Spline fitting [J]. IEEE Signal Processing Letters, 2012, 19(6): 336-339.
[16] Kodovsky J, Fridrich J, Holub V. Ensemble classifiers for steganalysis of digital media [J]. IEEE Transactions on Information Forensics and Security, 2012, 7(2): 432-444.
[17] Gul G, Kurugollu F. A new methodology in steganalysis: breaking highly undetectable steganograpy (HUGO) [C]//International Conference on Information Hiding, Springer-Verlag, 2011, 6958: 71-84.
[18] Holub V, Fridrich J. Designing steganographic distortion using directional filters [C]//IEEE International Workshop on Information Forensic and Security, 2012: 234-239.
[19] Holub V, Fridrich J. Digital image steganography using universal distortion [C]//ACM Workshop on Information Hiding and Multimedia Security, 2013: 59-68.
[20] Li B, Wang M, Huang J, Li X. A new cost function for spatial image steganography [C]//IEEE International Conference on Image Processing, 2014: 4206-4210.

Texture-Based Image Steganography Using Adaptive Pixel Pair Matching

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	PAN Heng, PAN Lei, YAO Zhongyuan, SI Xueming. A Patient-Controlled Security Access Mechanism for Electronic Health Records [J]. Journal of Applied Sciences, 2020, 38(1): 127-138.
[2]	ZHAO Xiao, XU Yan-yan, GONG Jia-ying, SONG Fang-zhen. A Secure Image Retrieval Method Based on Combined Orthogonal Decomposition and BoVW [J]. Journal of Applied Sciences, 2018, 36(2): 299-308.
[3]	YANG Bin, CHEN Xian-yi, HU Wei-feng. Blind Detection of Image Splicing Based on Shadow Model [J]. Journal of Applied Sciences, 2016, 34(5): 564-574.
[4]	QIN Wei, XU Jia-ping, LI Tao. Secrecy Scheme of Two-Way Space Hopping Transmission in Physical Layer [J]. Journal of Applied Sciences, 2016, 34(3): 263-274.
[5]	XIE Kai, ZHANG Tao, XI Ling, LI Wen-xiang, PING Xi-jian. Steganalysis of Heterogeneous Images Using k-Means Clustering [J]. Journal of Applied Sciences, 2014, 32(5): 543-550.
[6]	WANG Yu, WANG Zhen-xing, MIAO Fu, LIU Hui-sheng, ZHANG Lian-cheng. Monte Carlo-Based Network Traffic Camouflage [J]. Journal of Applied Sciences, 2013, 31(4): 361-367.
[7]	PANG Hong-wei, JIN Liang, HUANG Kai-zhi, JI Jiang. Physical Layer Secrecy of Wideband System by Adding Random Noise Based on Channel’s Weak Characteristics [J]. Journal of Applied Sciences, 2013, 31(3): 233-238.
[8]	ZHONG Shang-qin1;2, LIU Fu-qiang3, XU Guo-sheng1;2, YANG Yu1;2, YAO Wen-bin1;2. Finding Key Host of Network through Iterative Matrix [J]. Journal of Applied Sciences, 2012, 30(4): 374-378.
[9]	CAO Dong1;2, SONG Yao-liang1. Multi-party Quantum Covert Communication with Entanglement Private-Keys [J]. Journal of Applied Sciences, 2012, 30(1): 52-58.
[10]	WANG Ran, PING Xi-jian, ZHENG Er-gong. Steganalysis of LSB Matching Based on Local Smoothness of Histogram [J]. Journal of Applied Sciences, 2012, 30(1): 96-104.
[11]	HONG Tao, SONG Mao-zhong, LIU Yu. Signal Transmitted from Switched Antenna Array with Low Interception Probability for Physical Layer Security [J]. Journal of Applied Sciences, 2011, 29(4): 368-373.
[12]	YANG Kai, MA Jian-feng, YANG Chao. Novel Trusted Routing in Wireless Mesh Networks [J]. Journal of Applied Sciences, 2011, 29(3): 221-227.
[13]	HU Li-li1;2, MIAO Huai-kou1;2, CHEN Sheng-bo1;2, MEI Jia1, GAO Hong-hao1. Threat-Driven On-The-Fly Verification of Navigation Model for Web Applications [J]. Journal of Applied Sciences, 2011, 29(1): 83-92.
[14]	HUANG Jie, HUANG Bei, HUANG Qiu-cen. Dynamic Load Balancing and Stability Analysis for 3G Network Security Management [J]. Journal of Applied Sciences, 2010, 28(6): 585-591.
[15]	WANG Kun1, WU Meng2, LU Wei-feng3. A Location-Based Trust Routing for MANET [J]. Journal of Applied Sciences, 2010, 28(5): 447-456.