Brain-Like Initial-Boosted Hyperchaos and Application in Biomedical Image Encryption

Neural networks have been widely and deeply studied in the field of computational neurodynamics. However, coupled neural networks and their brain-like chaotic dynamics have not been noticed yet. In this article, we focus on the coupled neural network-based brain-like initial boosting coexisting hype...

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Vydáno v:	IEEE transactions on industrial informatics Ročník 18; číslo 12; s. 8839 - 8850
Hlavní autoři:	Lin, Hairong, Wang, Chunhua, Cui, Li, Sun, Yichuang, Xu, Cong, Yu, Fei
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.12.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Biological neural networks Biomedical engineering Boosting Brain Chaos Chaos theory Encryption Entropy (Information theory) Field programmable gate arrays Field-programmable gate array (FPGA) implementation Hopfield neural network (HNN) hyperchaos Liapunov exponents medical image encryption Medical imaging memristor Memristors Neural networks Neurons Performance evaluation Synapses
ISSN:	1551-3203, 1941-0050
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Abstract	Neural networks have been widely and deeply studied in the field of computational neurodynamics. However, coupled neural networks and their brain-like chaotic dynamics have not been noticed yet. In this article, we focus on the coupled neural network-based brain-like initial boosting coexisting hyperchaos and its application in biomedical image encryption. We first construct a memristive-coupled neural network (MCNN) model based on two subneural networks and one multistable memristor synapse. Then we investigate its coupling strength-related dynamical behaviors, initial states-related dynamical behaviors, and initial-boosted coexisting hyperchaos using bifurcation diagrams, phase portraits, Lyapunov exponents, and attraction basins. The numerical results demonstrate that the proposed MCNN not only can generate hyperchaotic attractors with high complexity but also can boost the attractor positions by switching their initial states. This makes the MCNN more suitable for many chaos-based engineering applications. Moreover, we design a biomedical image encryption scheme to explore the application of the MCNN. Performance evaluations show that the designed cryptosystem has several advantages in the keyspace, information entropy, and key sensitivity. Finally, we develop a field-programmable gate array test platform to verify the practicability of the presented MCNN and the designed medical image cryptosystem.
AbstractList	Neural networks have been widely and deeply studied in the field of computational neurodynamics. However, coupled neural networks and their brain-like chaotic dynamics have not been noticed yet. In this article, we focus on the coupled neural network-based brain-like initial boosting coexisting hyperchaos and its application in biomedical image encryption. We first construct a memristive-coupled neural network (MCNN) model based on two subneural networks and one multistable memristor synapse. Then we investigate its coupling strength-related dynamical behaviors, initial states-related dynamical behaviors, and initial-boosted coexisting hyperchaos using bifurcation diagrams, phase portraits, Lyapunov exponents, and attraction basins. The numerical results demonstrate that the proposed MCNN not only can generate hyperchaotic attractors with high complexity but also can boost the attractor positions by switching their initial states. This makes the MCNN more suitable for many chaos-based engineering applications. Moreover, we design a biomedical image encryption scheme to explore the application of the MCNN. Performance evaluations show that the designed cryptosystem has several advantages in the keyspace, information entropy, and key sensitivity. Finally, we develop a field-programmable gate array test platform to verify the practicability of the presented MCNN and the designed medical image cryptosystem.
Author	Wang, Chunhua Lin, Hairong Cui, Li Sun, Yichuang Xu, Cong Yu, Fei
Author_xml	– sequence: 1 givenname: Hairong orcidid: 0000-0003-3506-9780 surname: Lin fullname: Lin, Hairong email: haironglin@hnu.edu.cn organization: College of Computer Science and Electronic Engineering, Hunan University, Changsha, China – sequence: 2 givenname: Chunhua orcidid: 0000-0001-6522-9795 surname: Wang fullname: Wang, Chunhua email: wch1227164@hnu.edu.cn organization: College of Computer Science and Electronic Engineering, Hunan University, Changsha, China – sequence: 3 givenname: Li surname: Cui fullname: Cui, Li email: licui@hnust.edu.cn organization: School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan, China – sequence: 4 givenname: Yichuang orcidid: 0000-0001-8352-2119 surname: Sun fullname: Sun, Yichuang email: y.sun@herts.ac.uk organization: School of Engineering and Computer Science, University of Hertfordshire, Hatfield, U.K – sequence: 5 givenname: Cong surname: Xu fullname: Xu, Cong email: xucong0703@163.com organization: College of Computer Science and Electronic Engineering, Hunan University, Changsha, China – sequence: 6 givenname: Fei orcidid: 0000-0002-3091-7640 surname: Yu fullname: Yu, Fei email: yufeiyfyf@csust.edu.cn organization: School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, China
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Cites_doi	10.1109/ACCESS.2021.3085483 10.1109/TNNLS.2020.2995413 10.1007/s11071-020-06072-w 10.1007/s11071-019-05408-5 10.1109/TIE.2021.3099231 10.1038/370615a0 10.3389/fncom.2017.00081 10.1016/j.neunet.2019.12.016 10.1007/s40435-018-0435-x 10.1007/s11071-017-3729-1 10.1126/science.aar2578 10.1007/s00521-020-05451-z 10.1109/TII.2018.2808966 10.3390/app11020788 10.1007/s11071-019-04795-z 10.1109/TII.2020.2992438 10.1016/j.neucom.2020.04.087 10.3390/electronics8111211 10.13164/re.2015.0319 10.1109/TCSI.2019.2933365 10.1016/j.cnsns.2016.08.025 10.1155/2021/2604874 10.1109/TCSI.2021.3075550 10.1109/TII.2021.3086819 10.1109/TCSII.2019.2927371 10.1109/JBHI.2020.2991043 10.1109/TCYB.2019.2953236 10.1007/s11071-021-06853-x 10.1109/TIE.2020.3047012 10.1109/TCSII.2020.3000492 10.1073/pnas.79.8.2554 10.1007/s11071-019-04762-8 10.1109/TIE.2020.3022539 10.1016/j.neuroimage.2018.04.023 10.1109/ACCESS.2020.3011724 10.1109/TNNLS.2019.2892385 10.1142/S0218127420300293
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References	ref35 ref13 ref34 ref12 ref37 ref15 ref36 ref14 ref31 ref30 ref33 ref11 ref32 ref10 ref2 ref1 ref17 ref38 ref16 ref19 ref18 ref24 ref23 ref26 ref25 ref20 ref22 ref28 ref27 ref29 ref8 ref7 ref9 ref4 ref3 ref6 yu (ref21) 2021; 9 ref5
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Snippet	Neural networks have been widely and deeply studied in the field of computational neurodynamics. However, coupled neural networks and their brain-like chaotic...
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SubjectTerms	Biological neural networks Biomedical engineering Boosting Brain Chaos Chaos theory Encryption Entropy (Information theory) Field programmable gate arrays Field-programmable gate array (FPGA) implementation Hopfield neural network (HNN) hyperchaos Liapunov exponents medical image encryption Medical imaging memristor Memristors Neural networks Neurons Performance evaluation Synapses
Title	Brain-Like Initial-Boosted Hyperchaos and Application in Biomedical Image Encryption
URI	https://ieeexplore.ieee.org/document/9726899 https://www.proquest.com/docview/2719555527
Volume	18
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