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A novel grid multi-structure chaotic attractor and its application in medical image encryption

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成果类型:
期刊论文
作者:
Hu, Zhenhua;Lin, Hairong;Wang, Chunhua
通讯作者:
Wang, CH
作者机构:
[Wang, Chunhua; Lin, Hairong; Hu, Zhenhua; Wang, CH] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha, Peoples R China.
[Hu, Zhenhua] Hunan City Univ, Coll Sci, Yiyang, Peoples R China.
通讯机构:
[Wang, CH ] H
Hunan Univ, Coll Comp Sci & Elect Engn, Changsha, Peoples R China.
语种:
英文
关键词:
multi-structure attractor;Memristor;Hopfield Neural Network;image encryption;Circuit implementation
期刊:
FRONTIERS IN PHYSICS
ISSN:
2296-424X
年:
2023
卷:
11
页码:
1273872
基金类别:
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work is supported by the National Natural Science Foundation of China (62271197, 61971185, and 62201204), the China Postdoctoral Science Foundation (2022M71104), and the Natural Science Foundation of Hunan Province (2023JJ40168).
机构署名:
本校为其他机构
院系归属:
理学院
摘要:
Grid multi-scroll/wing chaotic systems are complex non-linear dynamic systems, which are widely used in secure communication. The grid multi-scroll/wing chaotic systems are usually realized by using the function control method, which has a complex realization method, many control parameters, and a simple unit attractor structure. In this paper, based on the Hopfield neural network, a memristive Hopfield neural network model is proposed by using the memristor synapse control method. The model can generate novel grid multi-structure chaotic attra...

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