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

Development of a video encryption algorithm for critical areas using 2D extended Schaffer function map and neural networks DOI
Suo Gao, Jiafeng Liu, Herbert Ho‐Ching Iu

et al.

Applied Mathematical Modelling, Journal Year: 2024, Volume and Issue: 134, P. 520 - 537

Published: June 14, 2024

Language: Английский

Citations

15

Dynamic Analysis, Image Encryption Application and FPGA Implementation of a Discrete Memristor-Coupled Neural Network DOI
Fei Yu, Xu Si, Yue Lin

et al.

International Journal of Bifurcation and Chaos, Journal Year: 2024, Volume and Issue: 34(06)

Published: May 1, 2024

This paper presents a novel discrete memristor model that incorporates exponential and absolute value functions. A coupled neural network is constructed based on this design. The periodic chaotic regions of the are determined using bifurcation Lyapunov exponent spectrum. Furthermore, by varying initial values memristive network, we observe coexistence chaos attractors, as well attractors. Additionally, an application to color image encryption system given. Security analysis conducted in aspects key space, histogram analysis, correlation sensitivity Peak Signal-to-Noise Ratio (PSNR), information entropy analysis. results show algorithm has space size [Formula: see text], baboon graph 7.9993, which very close ideal 8. It shows feasible effective. Finally, implementation realized Field Programmable Gate Array (FPGA). experimental Verilog language Vivado 2018.3 platform, obtained align with numerical simulation through MATLAB.

Language: Английский

Citations

12

Multistability and synchronicity of memristor coupled adaptive synaptic neuronal network DOI
Jianlin Zhang, Han Bao, Jinxiang Gu

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 185, P. 115157 - 115157

Published: June 25, 2024

Language: Английский

Citations

9

Elegant homogeneous basin of attraction in two-memristor cyclic Hopfield neural network DOI
Shuting Feng, Haigang Tang, Huagan Wu

et al.

The European Physical Journal Plus, Journal Year: 2025, Volume and Issue: 140(2)

Published: Feb. 4, 2025

Language: Английский

Citations

1

Chaotic dynamics of a new 7D memristor-based generator: computer modeling and circuit design DOI
M. I. Kopp, Inna Samuilik

Mathematical Modeling and Computing, Journal Year: 2025, Volume and Issue: 12(1), P. 116 - 131

Published: Jan. 1, 2025

The paper introduces a new seven-dimensional (7D) chaotic system based on memristor emulator created using hyperbolic tangent function. This is derived from six-dimensional (6D) dynamic of equations that describes the process magnetic field generation, serving as an alternative to Rikitake dynamo, which explains inversion Earth and other celestial bodies. study analyzes stability equilibrium points in dynamical system. Lyapunov exponents spectrum Kaplan–Yorke dimension are calculated for fixed parameters 7D presence positive exponent demonstrates behavior system, while fractional indicates fractal structure strange attractors. Based results Matlab–Simulink LabVIEW models, signal generator memristive implemented Multisim environment. simulation environment exhibits similar simulations models.

Language: Английский

Citations

1

Linguistic neural networks for optimizing S-box selection in image encryption DOI
Heng Zhang, Ihsan Ullah, Saleem Abdullah

et al.

Signal Image and Video Processing, Journal Year: 2025, Volume and Issue: 19(5)

Published: March 10, 2025

Language: Английский

Citations

1

Modeling and hardware implementation of a class of Hamiltonian conservative chaotic systems with transient quasi-period and multistability DOI
Fei Yu, Ye Yuan,

Chaoran Wu

et al.

Nonlinear Dynamics, Journal Year: 2023, Volume and Issue: 112(3), P. 2331 - 2347

Published: Dec. 30, 2023

Language: Английский

Citations

21

Dynamic analysis and hardware implementation of multi-scroll Hopfield neural networks with three different memristor synapses DOI
Fei Yu,

Chaoran Wu,

Yue Lin

et al.

Nonlinear Dynamics, Journal Year: 2024, Volume and Issue: 112(14), P. 12393 - 12409

Published: May 10, 2024

Language: Английский

Citations

7

Hybrid tri-memristor hyperchaotic map and application in Wasserstein Generative Adversarial Nets DOI
Yang Gu, Han Bao, Xihong Yu

et al.

Science China Technological Sciences, Journal Year: 2024, Volume and Issue: 67(6), P. 1855 - 1865

Published: May 28, 2024

Language: Английский

Citations

7

Dynamical Analysis of A Discrete Aihara Neuron under a Locally Active Memristor as Electromagnetic Radiation and its DSP Implementation DOI
Hongli Cao, Yinghong Cao,

Xianying Xu

et al.

Physica Scripta, Journal Year: 2024, Volume and Issue: 99(8), P. 085226 - 085226

Published: July 4, 2024

Abstract The study of neuron model under electromagnetic radiation is significant for learning brain principles and treating mental diseases. In this paper, a novel discrete locally active memristor(DLAM) designed its characteristics are investigated thoroughly. Then, the DLAM used to imitate stimulate Aihara neuron, called EMR-Aihara model. equilibrium point analyzed. Dynamical studied by means phase diagram, iteration sequence, bifurcation Lyapunov Exponent spectrum(LEs), Kolmogorow entropy(KE) Spectral Entropy(SE) complexity. With these analysis methods, rich dynamical behaviors firing patterns discovered from map, including hyperchaos, chaos period. addition, complex multistability state transition phenomena concerning various attractors modes observed. This map implemented in digital circuit DSP platform as well, confirming physical availability can simulate biological apply image encryption.

Language: Английский

Citations

6