A K-SVD Based Compressive Sensing Method for Visual Chaotic Image Encryption DOI Creative Commons

Zizhao Xie,

Jingru Sun, Yiping Tang

et al.

Mathematics, Journal Year: 2023, Volume and Issue: 11(7), P. 1658 - 1658

Published: March 30, 2023

The visually secure image encryption scheme is an effective method, which embeds encrypted into a visual to realize and secret transfer. This paper proposes merging compression chaos scheme. First, dictionary matrix D constructed with the plain by K-SVD algorithm, can encrypt while sparsing. Second, improved Zeraoulia-Sprott chaotic map logistic are employed generate three S-Boxes, used complete scrambling, diffusion, embedding operations. keys of this contain initial value system D, significantly increases key space, correlation, security. Simulation shows proposed resist most attacks and, compared existing scheme, has larger higher better restoration quality, improving processing efficiency

Language: Английский

Synchronization patterns in a network of diffusively delay-coupled memristive Chialvo neuron map DOI
Zhen Wang, Fatemeh Parastesh, Hayder Natiq

et al.

Physics Letters A, Journal Year: 2024, Volume and Issue: 514-515, P. 129607 - 129607

Published: May 28, 2024

Language: Английский

Citations

18

Experimental validation of IoT image encryption scheme based on a 5-D fractional hyperchaotic system and Numba JIT compiler DOI

Daniel Clemente-López,

Jesús M. Muñoz‐Pacheco, Jose Rangel‐Magdaleno

et al.

Internet of Things, Journal Year: 2024, Volume and Issue: 25, P. 101116 - 101116

Published: Feb. 10, 2024

Language: Английский

Citations

17

Energy flow accounts for the adaptive property of functional synapses DOI Open Access
Fuqiang Wu, Yitong Guo, Jun Ma

et al.

Science China Technological Sciences, Journal Year: 2023, Volume and Issue: 66(11), P. 3139 - 3152

Published: Oct. 17, 2023

Language: Английский

Citations

40

Offset Boosting-Entangled Complex Dynamics in the Memristive Rulkov Neuron DOI
Yongxin Li, Chunbiao Li, Tengfei Lei

et al.

IEEE Transactions on Industrial Electronics, Journal Year: 2023, Volume and Issue: 71(8), P. 9569 - 9579

Published: Nov. 1, 2023

A discrete memristor is introduced into the Rulkov neuron to mimic biological neuronal synapse and modify firing dynamics. In memristive neuron, chaotic with local amplitude control obtained, where range of bursting can be modified by two independent controllers. These bifurcation parameters provide direct amplitude/frequency control. Furthermore, offset boosting-entangled complex dynamics are captured, initial condition membrane potential visit any self-reproducing attractors even firing, indicating coexistence homogeneous heterogeneous multistabilities. Consequently, a CH32-based circuit developed verify various activities. The pseudo-random number generator results explored based on National Institute Standards Technology showing its higher performance in secure optical communication, which further proved seven-core 2-km communication setup.

Language: Английский

Citations

38

A Fast Hyperchaotic Image Encryption Scheme DOI

Xiaojuan Ma,

Chunhua Wang, Wenlu Qiu

et al.

International Journal of Bifurcation and Chaos, Journal Year: 2023, Volume and Issue: 33(05)

Published: April 1, 2023

In this paper, we propose a fast hyperchaotic image encryption scheme based on RSVM and step-by-step scrambling-diffusion. scheme, firstly new algorithm named ring shrinkage with variable modulo (RSVM), which can randomly scramble the elements in one-dimensional array, are composed of row numbers or column pixel matrix to be encrypted. Before encryption, use generate two random arrays (i.e. array [Formula: see text] text]), each element represents row/column number matrix. Then rows/columns scrambled-diffused according text]. The initial control parameters controlled by SHA-256 plaintext pixels, controls scrambling-diffusion process matrix, rows columns, so small changes pixels will lead great differences ciphertext images. addition, overall time complexity is only text], greatly reduce cost. Finally, experimental results extensive security analysis prove efficiency feasibility method.

Language: Английский

Citations

36

Physical approach of a neuron model with memristive membranes DOI Open Access
Yitong Guo, Fuqiang Wu, Feifei Yang

et al.

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2023, Volume and Issue: 33(11)

Published: Nov. 1, 2023

The membrane potential of a neuron is mainly controlled by the gradient distribution electromagnetic field and concentration diversity between intracellular extracellular ions. Without considering thickness material property, electric characteristic cell described capacitive variable output voltage in an equivalent neural circuit. flexible property enables controllability endomembrane outer membrane, properties can be approached double membranes connected memristor In this work, two capacitors are used to mimic physical two-layer membranes, inductive channel added A biophysical obtained energy characteristic, dynamics, self-adaption discussed, respectively. Coherence resonance mode selection adaptive way detected under noisy excitation. average function effective predict appearance coherence resonance. An law proposed control parameters, external stimulus explained theoretical way. with memristive explains self-adaptive mechanism parameter changes transition from viewpoint.

Language: Английский

Citations

32

Hopfield neural network with multi-scroll attractors and application in image encryption DOI

Zhenhua Hu,

Chunhua Wang

Multimedia Tools and Applications, Journal Year: 2023, Volume and Issue: 83(1), P. 97 - 117

Published: May 10, 2023

Language: Английский

Citations

31

A bimembrane neuron for computational neuroscience DOI
Junen Jia, Feifei Yang, Jun Ma

et al.

Chaos Solitons & Fractals, Journal Year: 2023, Volume and Issue: 173, P. 113689 - 113689

Published: June 16, 2023

Language: Английский

Citations

25

A Chaos-Enhanced Fractional-Order Chaotic System with Self-Reproduction Based on a Memcapacitor and Meminductor DOI Creative Commons
Xuan Wang, Yinghong Cao, Hongjie Li

et al.

Fractal and Fractional, Journal Year: 2023, Volume and Issue: 7(8), P. 582 - 582

Published: July 28, 2023

Chaotic signals generated by chaotic oscillators based on memory elements are suitable for use in the field of confidential communications because their very good randomness. But often maximum Lyapunov exponent is not high enough, so degree randomness enough. It can be chaos enhanced transforming it to fractional order using Caputo differential definition. In this paper, proposed hyperchaotic oscillator, extended a fractional-order form obtain chaos-enhanced memcapacitor meminductor system, which several different styles and attractors found. The dynamical behaviour system studied bifurcation diagrams, spectrums dimensions. multistability explored initial orbits, spectral entropy complexity examined. Finally, hardware implementation given, demonstrates effectiveness system. This study provides reference chaos-enhanced.

Language: Английский

Citations

25

Heterogeneous coexisting attractors, large-scale amplitude control and finite-time synchronization of central cyclic memristive neural networks DOI
Qiang Lai, Shicong Guo

Neural Networks, Journal Year: 2024, Volume and Issue: 178, P. 106412 - 106412

Published: May 27, 2024

Language: Английский

Citations

9