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Image encryption using random sequence generated from generalized information domain |
Xia-Yan Zhang(张夏衍)1, Guo-Ji Zhang(张国基)2, Xuan Li(李璇)3, Ya-Zhou Ren(任亚洲)4, Jie-Hua Wu(伍杰华)1 |
1. School of Computer Science and Engineering, South China University of Technology, Higher Education Mega Centre, Guangzhou 510006, China; 2. School of Mathematics, South China University of Technology, Guangzhou 510641, China; 3. School of Software, Fujian Normal University, Fuzhou 350007, China; 4. School of Computer Science and Engineering, Big Data Research Center, University of Electronic Science and Technology of China, Chengdu 611731, China |
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Abstract A novel image encryption method based on the random sequence generated from the generalized information domain and permutation-diffusion architecture is proposed. The random sequence is generated by reconstruction from the generalized information file and discrete trajectory extraction from the data stream. The trajectory address sequence is used to generate a P-box to shuffle the plain image while random sequences are treated as keystreams. A new factor called drift factor is employed to accelerate and enhance the performance of the random sequence generator. An initial value is introduced to make the encryption method an approximately one-time pad. Experimental results show that the random sequences pass the NIST statistical test with a high ratio and extensive analysis demonstrates that the new encryption scheme has superior security.
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Received: 12 September 2015
Revised: 18 December 2015
Accepted manuscript online:
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PACS:
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42.30.Va
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(Image forming and processing)
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Corresponding Authors:
Guo-Ji Zhang
E-mail: magjzh@scut.edu.cn
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Cite this article:
Xia-Yan Zhang(张夏衍), Guo-Ji Zhang(张国基), Xuan Li(李璇), Ya-Zhou Ren(任亚洲), Jie-Hua Wu(伍杰华) Image encryption using random sequence generated from generalized information domain 2016 Chin. Phys. B 25 054201
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[1] |
Wang X and Luan D 2013 Commun. Nonlinear Sci. Numer. Simulat. 18 3075
|
[2] |
Ping P, Xu F and Wang Z J 2014 Signal Process. 105 419
|
[3] |
Abdo A A, Lian S, Ismail I A and Diab H 2013 Commun. Nonlinear Sci. Numer. Simulat. 18 136
|
[4] |
Wei X, Guo L, Zhang Q, Zhang J and Lian S 2012 J. Sys. Software 85 290
|
[5] |
Liu H and Wang X 2012 Appl. Soft Comput. 12 1457
|
[6] |
Huang X and Ye G 2014 Multimedia Tools Appl. 72 57
|
[7] |
Matthews R 1989 Cryptologia 13 29
|
[8] |
Xiao D, Liao X and Wei P 2009 Chaos, Solitons & Fractals 40 2191
|
[9] |
Li C, Li S, Chen G and Halang W A 2009 Image Vision Comput. 27 1035
|
[10] |
Mirzaei O, Yaghoobi M and Irani H 2012 Nonlinear Dyn. 67 557
|
[11] |
Zhu C 2012 Opt. Commun. 285 29
|
[12] |
Wang Z, Huang X, Li Y X and Song X N 2013 Chin. Phys. B 22 010504
|
[13] |
Luo Y L and Du M H 2013 Chin. Phys. B 22 80503
|
[14] |
Xiang T, Liao X, Tang G, Chen Y and Wong K W 2006 Phys. Lett. A 349 109
|
[15] |
Li C, Li S J, Alvarez G, Chen G and Lo K T 2007 Phys. Lett. A 369 23
|
[16] |
Wang Y, Liao X, Xiang T, Wong K W and Yang D 2007 Phys. Lett. A 363 277
|
[17] |
Xu S J, Chen X B, Zhang R, Yang Y X and Guo Y C 2012 Phys. Lett. A 376 1003
|
[18] |
Wang X Y and Wang Q 2014 Chin. Phys. B 23 030503
|
[19] |
Zhang L Y, Hu X B, Liu Y S, Wong K W and Gan J 2014 Commun. Nonlinear Sci. Numer. Simulat. 19 3653
|
[20] |
Chen J, Zhu Z, Fu C, Yu H and Zhang L B 2015 Commun. Nonlinear Sci. Numer. Simulat. 20 846
|
[21] |
Dong C 2014 Signal Process.: Image Commun. 29 628
|
[22] |
Shannon C E 1949 Bell System Technical J. 28 656
|
[23] |
Fridrich J 1998 Int. J. Bifurc. chaos 8 1259
|
[24] |
Solak E, Cokal C and Yildiz O T 2010 Int. J. Bifurc. chaos 20 1405
|
[25] |
Zhang G J and Liu Q 2011 Opt. Commun. 284 2775
|
[26] |
Zhang X and Zhao Z 2014 Nonlinear Dyn. 75 319
|
[27] |
Li C Q 2016 Signal Process. 118 203
|
[28] |
Wang X and He G 2011 Opt. Commun. 284 5804
|
[29] |
Zhang G J, Li X, Liu Q and Zhang X Y 2012 Acta Phys. Sin. 61 485 (in Chinese)
|
[30] |
Rukhin A, Soto J, Nechvatal J, et al. 2010 NIST Special Publication 800-22rev1a
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