|
|
|
Fractal sorting vector-based least significant bit chaotic permutation for image encryption |
| Yong-Jin Xian(咸永锦)1, Xing-Yuan Wang(王兴元)1,†, Ying-Qian Zhang(张盈谦)2, Xiao-Yu Wang(王晓雨)1, and Xiao-Hui Du(杜晓慧)1 |
1 School of Information Science and Technology, Dalian Maritime University, Dalian 116026, China;
2 School of Information Science and Technology, Xiamen University Tan Kah Kee College, Zhangzhou 363105, China |
|
|
|
|
Abstract The image's least significant bit (LSB) covers lots of the details that have been commonly used in image encryption analysis. The newly proposed fractal sorting vector (FSV) and FSV-based LSB chaotic permutation (FSV-LSBCP) is a novel chaotic image encryption cryptosystem introduced in this article. The FSV-LSBCP effectively strengthens the security of the cryptographic scheme concerning the properties of the FSV. Key analysis, statistical analysis, resistance differential attack analysis, and resistance to cropping attacks and noise attacks are the focus of the suggested image encryption cryptosystem. The security experiment shows that the cryptosystem is adequate to achieve the desired degree of security.
|
Received: 02 December 2020
Revised: 10 January 2021
Accepted manuscript online: 11 January 2021
|
|
PACS:
|
05.45.Gg
|
(Control of chaos, applications of chaos)
|
| |
05.45.Df
|
(Fractals)
|
| |
07.05.Pj
|
(Image processing)
|
| |
05.45.Df
|
(Fractals)
|
|
| Fund: Project supported by the National Natural Science Foundation of China (Grant No. 61672124), the Password Theory Project of the 13th Five-Year Plan National Cryptography Development Fund, China (Grant No. MMJJ20170203), the Liaoning Provincial Science and Technology Innovation Leading Talents Program Project, China (Grant No. XLYC1802013), the Key Research and Development Projects of Liaoning Province, China (Grant No. 2019020105-JH2/103), and the Jinan City 20-University Funding Projects for Introducing Innovation Team Program, China (Grant No. 2019GXRC031). |
Corresponding Authors:
Xing-Yuan Wang
E-mail: xywang@dlmu.edu.cn
|
Cite this article:
Yong-Jin Xian(咸永锦), Xing-Yuan Wang(王兴元), Ying-Qian Zhang(张盈谦), Xiao-Yu Wang(王晓雨), and Xiao-Hui Du(杜晓慧) Fractal sorting vector-based least significant bit chaotic permutation for image encryption 2021 Chin. Phys. B 30 060508
|
[1] Wang C P, Wang X Y, Xia Z Q, Ma B and Shi Y Q 2020 IEEE T. Circ. Syst. Vid. 30 4440
[2] Xian Y J and Wang X Y 2021 Inform. Sci. 547 1154
[3] Li Q, Wang X Y, Wang X Y, Ma B, Wang C P and Shi Y Q 2021 Inform. Sci. 553 19
[4] Popoff S, Lerosey G, Fink M, Boccara A C and Gigan S 2010 Nat. Commun. 1 81
[5] Li C Q, Lin D D, Lu J H and Hao F 2018 IEEE Multimedia 25 46
[6] Chen W, Chen X D and Sheppard C J R 2010 Opt. Lett. 35 3817
[7] Chen J J, Yan D W, Duan S K and Wang L D 2020 Chin. Phys. B 29 110504
[8] Wang X Y, Wang Y, Wang S W, Zhang Y Q and Wu X J 2018 Chin. Phys. B 27 110502
[9] Hayat U and Azam N A 2019 Signal Process. 155 391
[10] Wang X Y and Gao S 2020 Inform. Sci. 507 16
[11] Nosrati K, Volos C and Azemi A 2017 Signal Process.-Image 58 35
[12] Alawida M, Samsudin A, Teh J S and Alkhawaldeh R S 2019 Signal Process. 160 45
[13] Zhang H, Wang X Q, Sun Y J and Wang X Y 2020 Signal Process.-Image 84 115829
[14] Zhang Y 2018 Inform. Sci. 450 361
[15] Liu Z Y, Xia T C and Wang J B 2018 Chin. Phys. B 27 030502
[16] Wang Y P, Liu S T and Li H 2020 Nonlinear Dyn. 102 579
[17] Sun F, Liu S T, Li Z Q and Lu Z W 2008 Chaos Soliton. Fract. 38 631
[18] Fridrich J 1998 Int. J. Bifur. Chaos 8 1259
[19] Zhang Y Q and Wang X Y 2014 Inform. Sci. 273 329
[20] Li C Q, Lin D D and Lu J H 2017 IEEE Multimedia 24 64
[21] Wu J H, Liao X F and Yang B 2018 Signal Process. 142 292
[22] Shahna K and Mohamed A 2020 Appl. Soft Comput. 90 106162
[23] Zhu Z L, Zhang W, Wong K W and Yu H 2011 Inform. Sci. 181 1171
[24] Zhang W, Wong K W, Yu H and Zhu Z L 2013 Commun. Nonlinear Sci. 18 584
[25] Tang Z J, Song J, Zhang X Q and Sun R H 2016 Opt. Laser Eng. 80 1
[26] Diaconu A V 2016 Inform. Sci. 355 314
[27] Cao C, Sun K H and Liu W H 2018 Signal Process. 143 122
[28] Liu X, Song Y R and Jiang G P 2019 Int. J. Bifur. Chaos 29 2
[29] Zhang Y Q and Wang X Y 2014 Nonlinear Dyn. 77 687
[30] Zhang L and Zhang X Q 2020 Multimed. Tools Appl. 79 20753
[31] Sun W H and Liu S T 2020 Discrete Dyn. Nat. Soc. 2020 8547685
[32] Liu S T and Wang P 2018 Fractal Control Theory (Singapore: Springer) p. 3
[33] Liu S T, Zhang Y P and Liu C A 2020 Fractal Control and Its Applications (Singapore: Springer) p. 235
[34] Bi F and Li C F 2013 Chin. Phys. Lett. 30 010306
[35] Hao W Q, Liang Z C, Liu X Y, Zhao R, Kong M M, Guan J F and Zhang Y 2019 Acta Phys. Sin. 68 199501 (in Chinese)
[36] Xing H Y, Gong P and Xu W 2012 Acta Phys. Sin. 61 160504 (in Chinese)
[37] Yu Y M, Yang L C, Zhou Q, Zhao L L and Liu Z P 2016 Chin. Phys. B 25 060503
[38] Hua Z Y and Zhou Y C 2016 Inform. Sci. 339 237
[39] Alvarez G and Li S J 2006 Int. J. Bifurc. Chaos 16 2129
[40] Alawida M, Teh J S, Samsudin A and Alshoura W H 2019 Signal Process. 164 24
[41] Wang X Y, Zhang Y Q and Bao W M 2015 Opt. Laser Eng. 73 53
[42] Li J F, Xiang S Y, Wang H N, Gong J K and Wen A J 2018 Opt. Laser Eng. 102 170 |
| 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
|
|
|
