Multiobjective Optimization of Chaotic Image Encryption Based on ABC Algorithm and DNA Coding DOI
Jinwei Yu, Wei Xie, Langwen Zhang

et al.

International Journal of Bifurcation and Chaos, Journal Year: 2024, Volume and Issue: 34(05)

Published: April 1, 2024

As digital communication and storage continue to expand, the protection of image privacy information becomes increasingly critical. To safeguard sensitive visual from unauthorized access, this paper proposes a novel encryption scheme that integrates multiobjective Artificial Bee Colony (ABC) optimization algorithm DNA coding. Multiple evaluation metrics including correlation relationship, Number Pixel Change Rate (NPCR), Unified Average Changing Intensity (UACI), entropy are collaboratively optimized by ABC algorithm. The proposed method begins with application SHA-256 generate keys random sequences using chaotic systems. These then employed for shuffling, coding, decoding, diffusion, generating initial encrypted images. Subsequently, images serve as individuals within determine optimal parameters systems best ciphertext image. Simulation experiments demonstrate achieved excellent results in entropy, pixel coefficient, NPCR, UACI. integration coding our heightened security, evidenced superior performance various metrics.

Language: Английский

Dynamics analysis, synchronization and FPGA implementation of multiscroll Hopfield neural networks with non-polynomial memristor DOI
Fei Yu, Xinxin Kong, Wei Yao

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 179, P. 114440 - 114440

Published: Jan. 2, 2024

Language: Английский

Citations

76

Review on memristor application in neural circuit and network DOI
Feifei Yang, Jun Ma, Fuqiang Wu

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 187, P. 115361 - 115361

Published: Aug. 8, 2024

Language: Английский

Citations

56

Dynamics of heterogeneous Hopfield neural network with adaptive activation function based on memristor DOI
Chunhua Wang, Junhui Liang, Quanli Deng

et al.

Neural Networks, Journal Year: 2024, Volume and Issue: 178, P. 106408 - 106408

Published: May 22, 2024

Language: Английский

Citations

46

Chaotic dynamical system of Hopfield neural network influenced by neuron activation threshold and its image encryption DOI
Quanli Deng, Chunhua Wang, Hairong Lin

et al.

Nonlinear Dynamics, Journal Year: 2024, Volume and Issue: 112(8), P. 6629 - 6646

Published: March 4, 2024

Language: Английский

Citations

33

Symmetric multi-double-scroll attractors in Hopfield neural network under pulse controlled memristor DOI

Jianghao Li,

Chunhua Wang, Quanli Deng

et al.

Nonlinear Dynamics, Journal Year: 2024, Volume and Issue: 112(16), P. 14463 - 14477

Published: June 8, 2024

Language: Английский

Citations

33

Grid Multibutterfly Memristive Neural Network With Three Memristive Systems: Modeling, Dynamic Analysis, and Application in Police IoT DOI
Hairong Lin, Xiaoheng Deng, Fei Yu

et al.

IEEE Internet of Things Journal, Journal Year: 2024, Volume and Issue: 11(18), P. 29878 - 29889

Published: June 19, 2024

Language: Английский

Citations

26

Dynamics analysis and FPGA implementation of discrete memristive cellular neural network with heterogeneous activation functions DOI
Chunhua Wang,

Dingwei Luo,

Quanli Deng

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 187, P. 115471 - 115471

Published: Sept. 4, 2024

Language: Английский

Citations

20

A novel memristive synapse-coupled ring neural network with countless attractors and its application DOI
Sen Zhang, Yongxin Li, Daorong Lu

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 184, P. 115056 - 115056

Published: May 27, 2024

Language: Английский

Citations

19

A novel fractional-order 3-D chaotic system and its application to secure communication based on chaos synchronization DOI
Sajad Iqbal, Jun Wang

Physica Scripta, Journal Year: 2025, Volume and Issue: 100(2), P. 025243 - 025243

Published: Jan. 27, 2025

Abstract In this study, we introduce a new fractional-order chaotic system (FO-CS) that comprises six terms, setting it apart from classical models such as the Lorenz, Chen, and Lü systems. The proposed system, while having different number of terms compared to Lorenz Chen systems, generates attractors closely resemble those found in these conventional algebraic structure is relatively simple, consisting four linear two quadratic terms. We conduct comprehensive theoretical analysis dynamic simulations both fractional integer-order perspectives, exploring numerous dynamical characteristics, including Lyapunov exponent spectra, fractal dimensions, Poincaré maps, bifurcation phenomena. Furthermore, derive Hamiltonian energy function for through application Helmholtz’s theorem. To delve into synchronization within carry out numerical alongside an active control method. effective implementation strategy deepens our understanding dynamics highlights its potential applications, particularly secure communication. One significant use techniques transmission real audio signals, showcasing relevance technique enhancing communication security.

Language: Английский

Citations

2

Dynamic Analysis and Field-Programmable Gate Array Implementation of a 5D Fractional-Order Memristive Hyperchaotic System with Multiple Coexisting Attractors DOI Creative Commons
Fei Yu, Wuxiong Zhang,

Xiaoli Xiao

et al.

Fractal and Fractional, Journal Year: 2024, Volume and Issue: 8(5), P. 271 - 271

Published: May 1, 2024

On the basis of chaotic system proposed by Wang et al. in 2023, this paper constructs a 5D fractional-order memristive hyperchaotic (FOMHS) with multiple coexisting attractors through coupling magnetic control memristors and dimension expansion. Firstly, divergence, Kaplan–Yorke dimension, equilibrium stability model are studied. Subsequently, we explore construction FOMHS, introducing definitions Caputo differential operator Riemann–Liouville integral employing Adomian resolving approach to decompose linears, nonlinears, constants system. The complex dynamic characteristics analyzed phase diagrams, Lyapunov exponent spectra, time-domain etc. Finally, hardware circuit FOMHS is performed FPGA, its randomness verified using NIST tool.

Language: Английский

Citations

15