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Resonant tunneling diode cellular neural network with memristor coupling and its application in police forensic digital image protection

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成果类型:
期刊论文
作者:
Yu, Fei;Su, Dan;He, Shaoqi;Wu, Yiya;Zhang, Shankou;...
通讯作者:
Yu, F
作者机构:
[He, Shaoqi; Yu, Fei; Wu, Yiya; Zhang, Shankou; Su, Dan; Yin, Huige; Yu, F] Changsha Univ Sci & Technol, Sch Comp & Commun Engn, Changsha 410114, Peoples R China.
通讯机构:
[Yu, F ] C
Changsha Univ Sci & Technol, Sch Comp & Commun Engn, Changsha 410114, Peoples R China.
语种:
英文
关键词:
memristor;hyperchaos;resonant tunneling diode-based cellular neural network (RTD-CNN);dynamic analysis;image encryption;05.45.-a;05.45.Gg;05.45.Jn;05.45.Vx
期刊:
中国物理B
ISSN:
1674-1056
年:
2025
卷:
34
期:
5
页码:
050502
基金类别:
Scientific Research Fund of Hunan Provincial Education Department [24A0248]; National Key Research and Development Program "National Quality Infrastructure System" Special Project [2024YFF0617900, 2024ZKHX293, 2024ZKHX294, 2024ZKHX295]
机构署名:
本校为第一且通讯机构
院系归属:
计算机与通信工程学院
摘要:
Due to their biological interpretability, memristors are widely used to simulate synapses between artificial neural networks. As a type of neural network whose dynamic behavior can be explained, the coupling of resonant tunneling diode-based cellular neural networks (RTD-CNNs) with memristors has rarely been reported in the literature. Therefore, this paper designs a coupled RTD-CNN model with memristors (RTD-MCNN), investigating and analyzing the dynamic behavior of the RTD-MCNN. Based on this model, a simple encryption scheme for the protection of digital images in police forensic applicatio...

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