Privacy protection of medical data based on multi-scroll memristive Hopfield neural network

F Yu, H Shen, Q Yu, X Kong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Memristive Hopfield neural network (MHNN) has complex dynamic behavior, which is
suitable for encryption applications. In order to ensure the information security of the medical …

A memristive synapse control method to generate diversified multistructure chaotic attractors

H Lin, C Wang, C Xu, X Zhang… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Due to the synapse-like nonlinearity and memory characteristics, memristor is often used to
construct memristive neural networks with complex dynamical behaviors. However …

Memristor-coupled asymmetric neural networks: Bionic modeling, chaotic dynamics analysis and encryption application

H Lin, C Wang, J Sun, X Zhang, Y Sun, HHC Iu - Chaos, Solitons & Fractals, 2023 - Elsevier
With the rapid development of artificial intelligence, it has important theoretical and practical
significance to construct neural network models and study their dynamical behaviors. This …

Dynamical analysis of an improved FitzHugh-Nagumo neuron model with multiplier-free implementation

Q Xu, X Chen, B Chen, H Wu, Z Li, H Bao - Nonlinear Dynamics, 2023 - Springer
The cubic-polynomial nonlinearity with N-shaped curve plays a crucial role in generating
abundant electrical activities for the original FitzHugh-Nagumo (FHN) neuron model. The …

Design and performance analysis of discrete memristive hyperchaotic systems with stuffed cube attractors and ultraboosting behaviors

Q Lai, L Yang, G Chen - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
Memristors are widely used for studying chaotic oscillations due to their special nonlinearity
and plasticity. This article presents a framework for constructing the ultraboosting memristive …

Exploiting flexible and secure cryptographic technique for multi-dimensional image based on graph data structure and three-input majority gate

Y Sha, J Mou, S Banerjee… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
The emergence of the Industrial Internet of Things (IIoT) has greatly improved the efficiency
of manufacturing, but it also faces significant security challenges during the operational …

A memristive fully connect neural network and application of medical image encryption based on central diffusion algorithm

J Sun, C Li, Z Wang, Y Wang - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
With the continuous development of computers, communication technology, and regional
medical collaboration services, the security and confidentiality of information are becoming …

Memristive effects on an improved discrete Rulkov neuron model

H Bao, KX Li, J Ma, ZY Hua, Q Xu, BC Bao - Science China Technological …, 2023 - Springer
A change in neuronal-action potential can generate a magnetically induced current during
the release and propagation of intracellular ions. To better characterize the electromagnetic …

Dynamics analysis and image encryption application of Hopfield neural network with a novel multistable and highly tunable memristor

W Yao, J Liu, Y Sun, J Zhang, F Yu, L Cui, H Lin - Nonlinear Dynamics, 2024 - Springer
Building artificial neural network models and studying their dynamic behaviors is extremely
important from both a theoretical and practical standpoint due to the rapid advancement of …

Sine-transform-based memristive hyperchaotic model with hardware implementation

H Bao, H Li, Z Hua, Q Xu, B Bao - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Memristor is a special nonlinear circuit component with internal state and can lead to
excellent chaos complexity in its constructed discrete system. To enhance the chaos …