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A color image encryption algorithm based on hyperchaotic map and DNA mutation |
| Xinyu Gao(高昕瑜)1, Bo Sun(孙博)1,†, Yinghong Cao(曹颖鸿)1,‡, Santo Banerjee2, and Jun Mou(牟俊)1,§ |
1 School of Information Science and Engineering, Dalian Polytechnic University, Dalian 116034, China;
2 Department of Mathematical Sciences, Giuseppe Luigi Lagrange, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino, Italy |
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Abstract We devise a color image encryption scheme via combining hyperchaotic map, cross-plane operation and gene theory. First, the hyperchaotic map used in the encryption scheme is analyzed and studied. On the basis of the dynamics of hyperchaotic map, a color image encryption scheme is designed. At the end of the encryption process, a DNA mutation operation is used to increase the encoding images' randomness and to improve the encryption algorithm's security. Finally, simulation experiments, performance analysis, and attack tests are performed to prove the effectiveness and security of the designed algorithm. This work provides the possibility of applying chaos theory and gene theory in image encryption.
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Received: 24 May 2022
Revised: 25 July 2022
Accepted manuscript online: 26 August 2022
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PACS:
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05.45.-a
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(Nonlinear dynamics and chaos)
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05.45.Gg
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(Control of chaos, applications of chaos)
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| Fund: Project supported by the National Natural Science Foundation of China (Grant No. 62061014), the Provincial Natural Science Foundation of Liaoning (Grant No. 2020-MS-274), the Basic Scientific Research Projects of Colleges and Universities of Liaoning Province, China (Grant No. LJKZ0545). |
Corresponding Authors:
Bo Sun, Jun Mou
E-mail: sunbo-0709@126.com;caoyinghong@dlpu.edu.cn;moujun@csu.edu.cn
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Cite this article:
Xinyu Gao(高昕瑜), Bo Sun(孙博), Yinghong Cao(曹颖鸿), Santo Banerjee, and Jun Mou(牟俊) A color image encryption algorithm based on hyperchaotic map and DNA mutation 2023 Chin. Phys. B 32 030501
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[1] Cheng G F, Wang C H and Xu C 2020 Multimedia Tools Appl. 70 29243
[2] Zhou M J and Wang C H 2020 Signal Process. 171 107484
[3] Yu F, Kong X X, Chen H F, Yu Q L, Cai S, Huang Y Y and Du S C 2022 Front. Phys. 10 847385
[4] Yu F, Zhang Z N and Shen H 2022 Chin. Phys. B 31 20505
[5] Yu F, Shen H and Zhang Z N 2021 Integrat. VLSI J. 81 71
[6] Li X J, Mou J, Cao Y H and Banerjee S 2022 Int. J. Bifur. Chaos 32 2250035
[7] Denf J, Zhou M J, Wang C H, Wang S C and Xu C 2021 Multimedia Tools Appl. 80 13821
[8] Lin H R, Wang C H, Yu F, Xu C, Hong Q H, Yao W and Sun Y C 2021 IEEE Trans. Industrial Electron. 68 12708
[9] Gan Z H, Chai X L, Bi J Q and Chen X H 2022 Complex Intelligent Syst. 8 2291
[10] Xiong L, Yang F F, Mou J, An X L and Zhang X G 2022 Nonlinear Dyn. 107 2911
[11] Zhou Y, Li C L, Li W, Li H M, Feng W and Qian K 2021 Nonlinear Dyn. 103 2043
[12] Li X J, Mou J, Banerjee S, Wang Z S and Cao Y H 2022 Chaos, Solitons Fractals 159 112133
[13] Yang F F, An X L and Xiong L 2022 Phys. Scr. 97 035202
[14] Gao X Y, Mou J, Banerjee S, Cao Y H, Xiong Li and Chen C Y 2022 J. King Saud University - Comput. Inf. Sci. 34 1535
[15] Gao X Y, Mou J, Xiong L, Sha Y W, Yan H Z and Cao Y H 2022 Nonlinear Dyn. 108 613
[16] Li C L, Zhou Y, Li H M, Feng W and Du J R 2021 Multimedia Tools Appl. 80 18479
[17] Xu C, Wang C H, Jiang J G, Sun J R and Li H R 2021 IEEE Trans. Comput.-Aided Design Integrat. Circuits Syst. 41 3052
[18] Li C L, Yang Y Y, Yang X B, Zi X Y and Xiao F L 2022 Nonlinear Dyn. 108 1697
[19] Ma C G, Mou J, Li P and Liu T M 2021 Eur. Phys. J. Spec. Top. 230 1945
[20] Ma C G, Mou J, Xiong L, Banerjee S and Han X T 2021 Nonlinear Dyn. 103 1
[21] Ma X J, Mou J, Liu J, Ma C G, Yang F F and Zhao X 2020 Nonlinear Dyn. 100 2859
[22] Li C L, Li H D, Xie W W and Du J R 2021 Nonlinear Dyn. 106 1041
[23] Han X T, Mou J, Jahanshahi H, Cao Y H and Bu F L 2022 Eur. Phys. J. Plus 137 523
[24] Li C L, Yang Y Y, Yang X B, Zi X Y and Xiao F L 2022 Nonlinear Dyn. 108 1697
[25] Phatak S C and Rao S S 1995 Phys. Rev. 51 3670
[26] Shiels A, Bennett T M and Hejtmancik J F 2010 Mol. Vision 16 2007
[27] De S, Bhaumik J and Giri D 2022 Multimedia Tools Appl. 81 5485
[28] Sachin and Singh P 2022 Opt. Quantum Electron. 54 266
[29] Li H Z, Hua Z Y, Bao H, Zhu L, Chen M and Bao B C 2021 IEEE Trans. Industrial Electron. 68 9931
[30] Yu F, Chen H and Kong X 2022 Eur. Phys. J. Plus 137 434
[31] Zhou Y, Li C L, Li W, Li H M, Feng W and Qian K 2021 Nonlinear Dyn. 103 2043
[32] Wang X Y and Gu S X 2014 Inf. Security 8 213
[33] Zhang Z, Yao F and Gao T 2020 Int. J. Multimedia Data Engin. Manag. 11 1
[34] Chai X L, Fu X L, Gan Z H, Lu Y and Chen Y R 2019 Signal Process. 155 4
[35] Wang X Y and Liu P B 2021 Visual Comput. 38 1
[36] Li X, Zhou C and Xu N 2018 Int. J. Network Security 20 110
[37] Chen G, Mao Y and Chui C K 2004 Chaos, Solitons Fractals 21 749
[38] Luo Y L, Du M H and Liu J X 2015 Commun. Nonlinear Sci. Numer. Simulat. 20 447
[39] Wang X Y, Zhang X Q and Zhao Y Y 2015 Nonlinear Dyn. 82 1269
[40] Liu W H, Sun K H, He Y and Yu M Y 2017 Int. J. Bifur. Chaos 27 1750171
[41] Li X J, Mou J, Xiong L, Wang Z S and Xu J 2021 Opt. Laser Technol. 140 107074
[42] Kaur G, Agarwal R and Patidar V 2021 Visual Comput. 38 1027
[43] Kaur G, Agarwal R and Patidar V 2021 J. King Saud University - Comput. Inf. Sci. 34 5883
[44] Zhang D Z, Chen L X and Li T Y 2021 Entropy (Basel) 23 361
[45] Gao X Y, Miao M and Chen X Y 2022 Front. Phys. 10 901800
[46] Chen C F, Sun K H and Xu Q Y 2020 China Commun. 17 12
[47] Farah M, Guesmi R, Kachouri A and Samet M 2020 Opt. Laser Technol. 121 105777
[48] Chai X L, Bi J Q, Gan Z H, Liu X X, Zhang Y S and Chen Y R 2020 Signal Process. 176 107684 |
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