An efficient image scheme for IoMT using 4D memristive hyperchaotic map

被引:2
作者
Lai, Qiang [1 ]
Wang, Huangtao [1 ]
机构
[1] East China Jiaotong Univ, Sch Elect & Automat Engn, Nanchang 330013, Peoples R China
基金
中国国家自然科学基金;
关键词
Chaos; Hyperchaotic map; Image encryption; Memristor; IoMT; ENCRYPTION; CHAOS;
D O I
10.1007/s11071-024-10220-x
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The security of Internet of Medical Things (IoMT) is closely linked to patient safety, unauthorized access may result in grave consequences. This paper reports a privacy protection scheme in the IoMT. A 4D memristive map (4D-TLMM) combining trigonometric functions, Logistic map and memristor is first designed with Lyapnov exponent and chaotic range increasing with the parameters, and its high randomness of resulting chaotic sequence is verified using NIST and sample entropy. Furthermore, a digital hardware testbed is developed to demonstrate its feasibility for hardware implementation. Then we present and analyze the specific situation of IoMT, and an image encryption algorithm (TLMM-IEA) using novel reflection scrambling and split diffusion is developed accordingly, which effectively disrupts the pixel relationships and ensures that only correct key can access patient information. After conducting numerical simulations on medical datasets, it is determined that the proposed scheme achieves average NPCR and UACI values of 99.6086%\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\%$$\end{document} and 33.4644%\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\%$$\end{document}, and possesses comprehensive robustness. Additionally, the encryption of 224x224\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$224\times 224$$\end{document} image using it only takes 0.0306 s, demonstrating its exceptional reliability in protecting IoMT security.
引用
收藏
页码:22485 / 22503
页数:19
相关论文
共 44 条
[1]   A new hybrid digital chaotic system with applications in image encryption [J].
Alawida, Moatsum ;
Samsudin, Azman ;
Sen Teh, Je ;
Alkhawaldeh, Rami S. .
SIGNAL PROCESSING, 2019, 160 :45-58
[2]   Mixed gray-color images encryption algorithm based on a memristor chaotic system and 2D compression sensing [J].
An, Xinlei ;
Liu, Siyang ;
Xiong, Li ;
Zhang, Jiangang ;
Li, Xinying .
EXPERT SYSTEMS WITH APPLICATIONS, 2024, 243
[3]   Two-Dimensional Discrete Bi-Neuron Hopfield Neural Network With Polyhedral Hyperchaos [J].
Bao, Bocheng ;
Tang, Haigang ;
Su, Yuanhui ;
Bao, Han ;
Chen, Mo ;
Xu, Quan .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2024, 71 (12) :5907-5918
[4]   Planar Homogeneous Coexisting Hyperchaos in Bimemristor Cyclic Hopfield Neural Network [J].
Bao, Han ;
Chen, Zhuguan ;
Ma, Jun ;
Xu, Quan ;
Bao, Bocheng .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2024, 71 (12) :16398-16408
[5]   An image encryption scheme based on multi-objective optimization and block compressed sensing [J].
Chai, Xiuli ;
Fu, Jiangyu ;
Gan, Zhihua ;
Lu, Yang ;
Zhang, Yushu .
NONLINEAR DYNAMICS, 2022, 108 (03) :2671-2704
[6]   Image encryption algorithm based on a new 3D chaotic system using cellular automata [J].
Darani, A. Yousefian ;
Yengejeh, Y. Khedmati ;
Pakmanesh, H. ;
Navarro, G. .
CHAOS SOLITONS & FRACTALS, 2024, 179
[7]   Design, Hardware Implementation, and Application in Video Encryption of the 2-D Memristive Cubic Map [J].
Gao, Suo ;
Iu, Herbert Ho-Ching ;
Wang, Mengjiao ;
Jiang, Donghua ;
El-Latif, Ahmed A. Abd ;
Wu, Rui ;
Tang, Xianglong .
IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (12) :21807-21815
[8]   Color-Gray Multi-Image Hybrid Compression-Encryption Scheme Based on BP Neural Network and Knight Tour [J].
Gao, Xinyu ;
Mou, Jun ;
Banerjee, Santo ;
Zhang, Yushu .
IEEE TRANSACTIONS ON CYBERNETICS, 2023, 53 (08) :5037-5047
[9]   An intelligent controller of homo-structured chaotic systems under noisy conditions and applications in image encryption [J].
Guo, Pengteng ;
Shi, Qiqing ;
Jian, Zeng ;
Zhang, Jing ;
Ding, Qun ;
Yan, Wenhao .
CHAOS SOLITONS & FRACTALS, 2024, 180
[10]   Chaos and firing patterns in a discrete fractional Hopfield neural network model [J].
He, Shaobo ;
Vignesh, D. ;
Rondoni, Lamberto ;
Banerjee, Santo .
NONLINEAR DYNAMICS, 2023, 111 (22) :21307-21332