|
|
A novel pseudo-random coupled LP spatiotemporal chaos and its application in image encryption |
Xingyuan Wang(王兴元)1,2, Yu Wang(王宇)2, Siwei Wang(王思伟)2, Yingqian Zhang(张盈谦)3, Xiangjun Wu(武相军)4 |
1 School of Information Science and Technology, Dalian Maritime University, Dalian 116026, China;
2 Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China;
3 School of Information Science & Technology, Xiamen University Tan Kah Kee College, Zhangzhou 363105, China;
4 College of Software, Henan University, Kaifeng 475004, China |
|
|
Abstract In this paper, first, we investigate a novel one-dimensional logistic-PWLCM (LP) modulation map which is derived from the logistic and PWLCM maps. Second, we propose a novel PCLML spatiotemporal chaos in pseudo-random coupling method that can accelerate the system behavior of the fully spatial chaos. Here, because the better chaotic properties include a wide range of parameter settings and better ergodicity than a logistic map, the LP is used in PCLML as f(x). The Kolmogorov-Sinai entropy density and universality and the bifurcation diagram are employed to investigate the chaotic behaviors of the proposed PCLML model. Finally, we apply the LP and PCLML chaotic systems to image encryption to improve the effectiveness and security of the encryption scheme. By combining self-generating matrix model M and dynamic substitution box (S-Box) methods, we design a new image encryption algorithm. Numerical simulations and security analysis have been carried out to demonstrate that the proposed algorithm has a high security level and can efficiently encrypt several different kinds of images into random-like images.
|
Received: 11 July 2018
Revised: 22 August 2018
Accepted manuscript online:
|
PACS:
|
05.45.Ac
|
(Low-dimensional chaos)
|
|
05.45.-a
|
(Nonlinear dynamics and chaos)
|
|
Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 61672124, 61370145, and 61173183), the Password Theory Project of the 13th Five-Year Plan National Cryptography Development Fund, China (Grant No. MMJJ20170203), the Program for New Century Excellent Talents in Fujian Province University, and the Natural Science Foundation of Fujian Province of China (Grant No. 2018J01100). |
Corresponding Authors:
Xingyuan Wang
E-mail: wangxy@dlut.edu.cn
|
Cite this article:
Xingyuan Wang(王兴元), Yu Wang(王宇), Siwei Wang(王思伟), Yingqian Zhang(张盈谦), Xiangjun Wu(武相军) A novel pseudo-random coupled LP spatiotemporal chaos and its application in image encryption 2018 Chin. Phys. B 27 110502
|
[1] |
Zheng Y and Jin J 2015 Multimed. Tools Appl. 74 1
|
[2] |
Kanakov O, Laptyeva T and Tsimring L 2016 Physica D 318 116
|
[3] |
Khellat F, Ghaderi A and Vasegh N 2011 Chaos Soliton. Fractals. 44 934
|
[4] |
Danca M F, Aziz-Alaoui M A and Small M 2015 Chin. Phys. B 24 060507
|
[5] |
Guedes A V and Savi M A 2010 Phys. Scr. 81 387
|
[6] |
Poria S, Shrimali M D and Sinha S 2008 Phys. Rev. E 78 417
|
[7] |
Chen Y, Xiao J and Wu Y 2010 Phys. Lett. A 374 3185
|
[8] |
Zhang Y Q and Wang X Y 2013 Nonlinear Anal. -Model. 18 526
|
[9] |
Zhang Y Q, Wang X Y and Liu J 2016 Opt. Laser. Eng. 82 95
|
[10] |
Hua Z and Zhou Y 2016 Inform. Sci. 339 237
|
[11] |
Sam I S, Devaraj P and Bhuvaneswaran R S 2012 Multimed. Tools Appl. 56 315
|
[12] |
Xie J, Yang C and Xie Q 2009 Int. Conf. Netw. Security IEEE 111
|
[13] |
Wu X, Li Y and Kurths J 2015 PLoS One 10 1
|
[14] |
Zhen P, Zhao G and Min L 2016 Multimed. Tools Appl. 75 6303
|
[15] |
Li X, Zhou C and Xu N 2018 Int. J. Network Security 20 110
|
[16] |
Ercan S and Cahit C 2011 Inform. Sci. 181 227
|
[17] |
Bechikh R, Hermassi H and Abd A A 2015 Signal Process. Image 39 151
|
[18] |
Liu H, Kadir A and Niu Y 2014 Int. J. Electron. Commun. 68 676
|
[19] |
Zhang L M, Sun K H, Liu W H and He S B 2017 Chin. Phys. B 26 100504
|
[20] |
Hussain I, Shah T and Gondal M A 2013 Nonlinear Dynam. 71 133
|
[21] |
Cao X M, Chen H S and Wang S H A 2017 Comput. Sci. 44 107
|
[22] |
Zhou Y, Bao L and Chen C P 2014 Signal Process. 97 172
|
[23] |
Li Y, Wang C and Chen H 2017 Opt. Laser. Eng. 90 238
|
[24] |
Zhang L N 2013 Sci. Technol. Eng. 13 2555
|
[25] |
Chen G, Mao Y and Chui C K 2004 Chaos Soliton. Fract. 21 749
|
[26] |
Danca F M and Tang W K S 2016 Chin. Phys. B 25 010505
|
[27] |
Sun F, Liu S and Li Z 2008 Chaos Soliton. Fract. 38 631
|
[28] |
Niyat A Y, Moattar M H and Torshiz M N 2017 Opt. Laser. Eng. 90 225
|
[29] |
Liao X F, Lai S Y and Zhou Q 2010 Signal Process. 90 2714
|
[30] |
Yu M Y, Sun K H, Liu W H and He S B 2018 Chaos Soliton. Fract. 106 107
|
[31] |
Liu W H, Sun K H and He S B 2017 Nonlinear Dynam. 89 2521
|
[32] |
Liu W H, Sun K H and Zhu C X 2016 Opt. Laser. Eng. 84 26
|
[33] |
Liu W H, Sun K H, He Y and Yu M Y 2017 Int. J. Bifurcat. Chaos 27 1750171
|
[34] |
Cao C, Sun K H and Liu W H 2018 Signal Process. 143 122
|
[35] |
Liu S and Zhang F 2014 Nonlinear Dynam. 76 1087
|
[36] |
Sun F and Liu S T 2009 Chaos Soliton. Fract. 41 2216
|
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|