A chaotic hierarchical encryption/watermark embedding scheme for multi-medical images based on row-column confusion and closed-loop bi-directional diffusion

doi:10.1088/1674-1056/ad0775

Abstract Security during remote transmission has been an important concern for researchers in recent years. In this paper, a hierarchical encryption multi-image encryption scheme for people with different security levels is designed, and a multi-image encryption (MIE) algorithm with row and column confusion and closed-loop bi-directional diffusion is adopted in the paper. While ensuring secure communication of medical image information, people with different security levels have different levels of decryption keys, and differentiated visual effects can be obtained by using the strong sensitivity of chaotic keys. The highest security level can obtain decrypted images without watermarks, and at the same time, patient information and copyright attribution can be verified by obtaining watermark images. The experimental results show that the scheme is sufficiently secure as an MIE scheme with visualized differences and the encryption and decryption efficiency is significantly improved compared to other works.

Keywords: chaotic hierarchical encryption multi-medical image encryption differentiated visual effects row-column confusion closed-loop bi-directional diffusion transform domain watermark embedding

Received: 08 October 2023
Revised: 26 October 2023
Accepted manuscript online: 27 October 2023

PACS:	05.45.-a	(Nonlinear dynamics and chaos)
	05.45.Gg	(Control of chaos, applications of chaos)

Fund: Project supported by the National Natural Science Foundation of China (Grant No. 62061014) and the Natural Science Foundation of Liaoning province of China (Grant No. 2020-MS-274).

Corresponding Authors: Jun Mou, Yinghong Cao
E-mail: moujun@csu.edu.cn;caoyinghong@dlpu.edu.cn

Cite this article:

Zheyi Zhang(张哲祎), Jun Mou(牟俊), Santo Banerjee, and Yinghong Cao(曹颖鸿) A chaotic hierarchical encryption/watermark embedding scheme for multi-medical images based on row-column confusion and closed-loop bi-directional diffusion 2024 Chin. Phys. B 33 020503

[1] Zhou J, Li J and Di X 2020 IEEE Access 8 122210
[2] Ding Y, Tan F, Qin Z, Cao M, Choo K R and Qin Z 2022 IEEE Trans. Neural Netw. Learn. Syst. 33 4915
[3] Lai Q, Hu G, Erkan U and Toktas A 2023 Int. J. Bifurcat. Chaos 442 127738
[4] Zhou N, Zhang T, Xie X and Wu J 2023 Signal Process. Image Commun. 110 116891
[5] Zhu D, Zhu H, Wang X, Lu R and Feng D 2022 IEEE Trans. Serv. Comput. 16 913
[6] Yu F, Shen H, Yu Q, Kong X, Sharma P K and Cai S 2022 IEEE Trans. Netw. Sci. Eng. 10 845
[7] Lin H, Wang C, Cui L, Sun Y, Xu C and Yu F 2022 IEEE Trans. Industr. Inform. 18 8839
[8] Chai X, Zhang J, Gan Z and Zhang Y 2019 Multimed. Tools Appl. 78 35419
[9] Hua Z, Yi S and Zhou Y 2018 Signal Process. 144 134
[10] Kamal S T, Hosny K M, Elgindy T M, Darwish M M and Fouda M M 2021 IEEE Access 9 37855
[11] Gao X, Mou J, Li B, Banerjee S and Sun B 2023 Fractals 31 2340111
[12] Sha Y, Mou J, Banerjee S and Zhang Y 2023 IEEE Trans. Industr. Inform. 1
[13] Sha Y, Mou J, Wang J, Banerjee S and Sun B 2023 Fractals 31 2340107
[14] Lin H, Wang C, Cui L, Sun Y, Zhang X and Yao W 2015 Commun. Nonlinear Sci. Numer. Simul. 24 98
[15] Wu Y, Zhang L, Berretti S and Wan S 2023 IEEE Trans. Industr. Inform. 19 2089
[16] Kong X, Yu F, Yao W, Xu C, Zhang J, Cai S and Wang C 2023 Appl. Math. Model. 125 351
[17] Han X, Mou J, Lu J, Banerjee S and Cao Y 2023 Fractals 31 2340104
[18] Ma Y, Mou J, Banerjee S and Miao M 2023 Appl. Comput. Math. 22 317
[19] Chen J, Zhu Z, Zhang L, Zhang Y and Yang B 2018 Signal Process. 142 340
[20] Ma T, Mou J, Yan H and Cao Y 2022 Eur. Phys. J. Plus 137 1135
[21] Ren L, Li S, Banerjee S and Mou J 2022 Phys. Scr. 98 055201
[22] Liu X, Mou J, Wang J, Banerjee S and Li P 2022 Fractal Fractional 6 671
[23] Ma Y, Mou J, Lu J, Banerjee S and Cao Y 2023 Fractals 31 2340136
[24] Ma T, Mou J, Li B, Banerjee S and Yan H 2022 Fractal Fractional 6 637
[25] Yu F, Shen H, Zhang Z, Huang Y, Cai S and Du S 2021 Integration 81 71
[26] Ye G, Wu H, Liu M and Shi Y 2022 Expert Syst. Appl. 205 117709
[27] Yu F, Xu S, Xiao X, Yao W, Huang Y, Cai S, Yin B and Li Y 2023 Integration 90 58
[28] Zhang X and Hu Y 2021 Opt. Laser Technol. 141 107073
[29] Nazari M and Mehrabian M 2020 Multimed. Tools Appl. 80 10615
[30] Ren L, Mou J, Banerjee S and Zhang Y 2023 Chaos Solitons Fractals 167 113024
[31] Liu X, Mou J, Zhang Y and Cao Y 2023 IEEE Trans. Industr. Electron. 71 5094
[32] Chai X, Wu H, Gan Z, Zhang Y, Chen Y and Nixon K W 2020 Opt. Lasers Eng. 124 105837
[33] Li Z, Zhang H, Liu X, Wang C and Wang X 2021 Digit. Signal Process. 115 103062
[34] Jeevitha S and Amutha P N 2020 J. Ambient Intell. Humaniz. Comput. 12 3373
[35] Gutub A and Al-Shaarani F 2020 Arab. J. Sci. Eng. 45 2631
[36] Zhou N, Tong L and Zou W 2023 Signal Process. 211 109107
[37] Gao X, Mou J, Banerjee S and Zhang Y 2023 IEEE Trans. Cybern. 53 5037
[38] Zhou N, Hu L, Huang Z, Wang M and Luo G 2024 Expert Syst. Appl. 238 122052
[39] Gao X, Mou J, Xiong L, Sha Y, Yan H and Cao Y 2022 Nonlinear Dyn. 108 613
[40] Bisht A, Dua M and Dua S 2018 Opt. Quantum Electron. 10 3519
[41] Sehra K, Raut S, Mishra A, et al. 2021 IEEE Access 9 72465
[42] Seyedzadeh S M, Norouzi B, Mosavi M R and Mirzakuchaki S 2015 Nonlinear Dyn. 81 511
[43] Hua Z, Zhang K, Li Y and Zhou Y 2021 Signal Process. 183 107998
[44] Cui M, Zhang C, Chen Y, Zhang Z, Wu T and Wen H 2021 IEEE Access 9 18052
[45] Naim M, Pacha A A and Serief C 2021 Adv. Space Res. 67 2077
[46] Wu Y, Zhou Y, Saveriades G, Agaian S, Noonan J P and Natarajan P 2013 Inform. Sci. 222 323
[47] Wu Y, Noonan J P and Agaian S 2011 Cyber J.: Mul. J. Sci. Technol., J. Select. Areas Telecommun. 1 31
[48] Banik A, Shamsi Z and Laiphrakpam D S 2019 J. Inf. Secur. Appl. 49 102398
[49] Ibrahim S et al. 2020 IEEE Access 8 160433
[50] Sahasrabuddhe A and Laiphrakpam D S 2021 Inf. Sci. 550 252

[1]	Exploring reservoir computing: Implementation via double stochastic nanowire networks Jian-Feng Tang(唐健峰), Lei Xia(夏磊), Guang-Li Li(李广隶), Jun Fu(付军), Shukai Duan(段书凯), and Lidan Wang(王丽丹). Chin. Phys. B, 2024, 33(3): 037302.
[2]	Dual-wavelength pumped latticed Fermi-Pasta-Ulam recurrences in nonlinear Schrödinger equation Qian Zhang(张倩), Xiankun Yao(姚献坤), and Heng Dong(董恒). Chin. Phys. B, 2024, 33(3): 030502.
[3]	Coexistence behavior of asymmetric attractors in hyperbolic-type memristive Hopfield neural network and its application in image encryption Xiaoxia Li(李晓霞), Qianqian He(何倩倩), Tianyi Yu(余天意),Zhuang Cai(才壮), and Guizhi Xu(徐桂芝). Chin. Phys. B, 2024, 33(3): 030505.
[4]	A lightweight symmetric image encryption cryptosystem in wavelet domain based on an improved sine map Baichi Chen(陈柏池), Linqing Huang(黄林青), Shuting Cai(蔡述庭), Xiaoming Xiong(熊晓明), and Hui Zhang(张慧). Chin. Phys. B, 2024, 33(3): 030501.
[5]	Parametric instability in the pure-quartic nonlinear Schrödinger equation Yun-Hong Zhang(张云红) and Chong Liu(刘冲). Chin. Phys. B, 2024, 33(3): 030506.
[6]	Effect of applied electric fields on supralinear dendritic integration of interneuron Ya-Qin Fan(樊亚琴), Xi-Le Wei(魏熙乐), Mei-Li Lu(卢梅丽), and Guo-Sheng Yi(伊国胜). Chin. Phys. B, 2024, 33(2): 020202.
[7]	Memory effect in time fractional Schrödinger equation Chuanjin Zu(祖传金) and Xiangyang Yu(余向阳). Chin. Phys. B, 2024, 33(2): 020501.
[8]	Multiple mixed state variable incremental integration for reconstructing extreme multistability in a novel memristive hyperchaotic jerk system with multiple cubic nonlinearity Meng-Jiao Wang(王梦蛟) and Lingfang Gu(辜玲芳). Chin. Phys. B, 2024, 33(2): 020504.
[9]	Characteristic analysis of 5D symmetric Hamiltonian conservative hyperchaotic system with hidden multiple stability Li-Lian Huang(黄丽莲), Yan-Hao Ma(马衍昊), and Chuang Li(李创). Chin. Phys. B, 2024, 33(1): 010503.
[10]	Enhancing visual security: An image encryption scheme based on parallel compressive sensing and edge detection embedding Yiming Wang(王一铭), Shufeng Huang(黄树锋), Huang Chen(陈煌), Jian Yang(杨健), and Shuting Cai(蔡述庭). Chin. Phys. B, 2024, 33(1): 010502.
[11]	Research and application of composite stochastic resonance in enhancement detection Rui Gao(高蕊), Shangbin Jiao(焦尚彬), and Qiongjie Xue(薛琼婕). Chin. Phys. B, 2024, 33(1): 010203.
[12]	Temperature-induced logical resonance in the Hodgkin-Huxley neuron Haiyou Deng(邓海游), Rong Gui(桂容), and Yuangen Yao(姚元根). Chin. Phys. B, 2023, 32(12): 120501.
[13]	From breather solutions to lump solutions: A construction method for the Zakharov equation Feng Yuan(袁丰), Behzad Ghanbari, Yongshuai Zhang(张永帅), and Abdul Majid Wazwaz. Chin. Phys. B, 2023, 32(12): 120201.
[14]	Dissipation and amplification management in an electrical model of microtubules: Hybrid behavior network Sedric Ndoungalah, Guy Roger Deffo, Arnaud Djine, and Serge Bruno Yamgoué. Chin. Phys. B, 2023, 32(11): 110505.
[15]	Special breathing structures induced by bright solitons collision in a binary dipolar Bose-Einstein condensates Gen Zhang(张根), Li-Zheng Lv(吕李政), Peng Gao(高鹏), and Zhan-Ying Yang(杨战营). Chin. Phys. B, 2023, 32(11): 110303.

No Suggested Reading articles found!

Viewed

Full text

Abstract

Cited

Metrics
Related Articles

A chaotic hierarchical encryption/watermark embedding scheme for multi-medical images based on row-column confusion and closed-loop bi-directional diffusion

Cite this article:

Online attention