A Dynamic Hill Cipher with Arnold Scrambling Technique for Medical Images Encryption DOI Creative Commons
Yue Xi, Ning Yu, Jie Jin

et al.

Mathematics, Journal Year: 2024, Volume and Issue: 12(24), P. 3948 - 3948

Published: Dec. 15, 2024

Cryptography is one of the most important branches information security. ensures secure communication and data privacy, it has been increasingly applied in healthcare related areas. As a significant cryptographic method, Hill cipher attracted attention from experts scholars. To enhance security traditional (THC) expand its application medical image encryption, novel dynamic with Arnold scrambling technique (DHCAST) proposed this work. Unlike THC, DHCAST uses time-varying matrix as secret key, which greatly increases new successfully images encryption. In addition, method employs Zeroing Neural Network (ZNN) decryption to find inversion key (TVIKM). order efficiency ZNN for solving TVIKM, fuzzy zeroing neural network (NFZNN) model constructed, convergence robustness NFZNN are validated by both theoretical analysis experiment results. Simulation experiments show that time about 0.05 s, while (TZNN) 2 means speed 400 times TZNN model. Moreover, Peak Signal Noise Ratio (PSNR) Number Pixel Change Rate (NPCR) algorithm reach 9.51 99.74%, respectively, effectively validates excellent encryption quality attack prevention ability.

Language: Английский

Multiscroll hopfield neural network with extreme multistability and its application in video encryption for IIoT DOI
Fei Yu, Yue Lin, Wei Yao

et al.

Neural Networks, Journal Year: 2024, Volume and Issue: 182, P. 106904 - 106904

Published: Nov. 17, 2024

Language: Английский

Citations

22
A class of n-D Hamiltonian conservative chaotic systems with three-terminal memristor: Modeling, dynamical analysis, and FPGA implementation DOI

Yuan Ye,

Fei Yu, Boon Thong Tan

et al.

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2025, Volume and Issue: 35(1)

Published: Jan. 1, 2025

Memristors are commonly used to introduce various chaotic systems and can be enhance their characteristics. However, due the strict construction conditions of Hamiltonian systems, there has been limited research on development memristive conservative (MHCCSs). In this work, a method for constructing three-terminal memristors is proposed, incorporated into system, resulting in class n-D MHCCS. Based method, we model 4D MHCCS as standard detailed dynamic analysis. The analysis reveals that exhibits complex behaviors, including conservativeness, symmetry, chaos depending parameters, extreme multistability, under wide parameter range. shows not only retains favorable characteristics system but also more nonlinear dynamics incorporation memristors, thereby further enhancing its Furthermore, pseudo-random number generator based excellent randomness terms NIST test. Finally, physical realizability verified through Field Programmable Gate Array experiments. This study demonstrates constructed MHCCSs good entropy source applied embedded secure communication, cryptographic generator.

Language: Английский

Citations

4
Dynamic Analysis and Implementation of FPGA for a New 4D Fractional-Order Memristive Hopfield Neural Network DOI Creative Commons
Fei Yu,

Shankou Zhang,

Dan Su

et al.

Fractal and Fractional, Journal Year: 2025, Volume and Issue: 9(2), P. 115 - 115

Published: Feb. 13, 2025

Memristor-based fractional-order chaotic systems can record information from the past, present, and future, describe real world more accurately than integer-order systems. This paper proposes a novel memristor model verifies its characteristics through pinched loop (PHL) method. Subsequently, new memristive Hopfield neural network (4D-FOMHNN) is introduced to simulate induced current, accompanied by Caputo’s definition of fractional order. An Adomian decomposition method (ADM) employed for system solution. By varying parameters order 4D-FOMHNN, rich dynamic behaviors including transient chaos, coexistence attractors are observed using methods such as bifurcation diagrams Lyapunov exponent analysis. Finally, proposed FOMHNN implemented on field-programmable gate array (FPGA), oscilloscope observation results consistent with MATLAB numerical simulation results, which further validate theoretical analysis provide basis application in field encryption.

Language: Английский

Citations

3
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
Design and Analysis of a Novel Fractional-Order System with Hidden Dynamics, Hyperchaotic Behavior and Multi-Scroll Attractors DOI Creative Commons
Fei Yu, Shuai Xu, Yue Lin

et al.

Mathematics, Journal Year: 2024, Volume and Issue: 12(14), P. 2227 - 2227

Published: July 17, 2024

The design of chaotic systems with complex dynamic behaviors has always been a key aspect chaos theory in engineering applications. This study introduces novel fractional-order system characterized by hidden dynamics, hyperchaotic behavior, and multi-scroll attractors. By employing fractional calculus, the system’s order is extended beyond integer values, providing richer behavior. dynamics are revealed through detailed numerical simulations theoretical analysis, demonstrating attractors bifurcations. nature verified Lyapunov exponents phase portraits, showing multiple positive that indicate higher degree unpredictability complexity. Additionally, analyzed, showcasing their potential for secure communication encryption approach enhances flexibility adaptability, making it suitable wide range practical uses, including data transmission, image encryption, signal processing. Finally, based on proposed system, we designed simple efficient medical scheme analyzed its security performance. Experimental results validate findings, confirming robustness effectiveness generating behaviors.

Language: Английский

Citations

12
An 8D Hyperchaotic System of Fractional-Order Systems Using the Memory Effect of Grünwald–Letnikov Derivatives DOI Creative Commons
Muhammad Sarfraz, Jiang Zhou, Fateh Ali

et al.

Fractal and Fractional, Journal Year: 2024, Volume and Issue: 8(9), P. 530 - 530

Published: Sept. 11, 2024

We utilize Lyapunov exponents to quantitatively assess the hyperchaos and categorize limit sets of complex dynamical systems. While there are numerous methods for computing in integer-order systems, these not suitable fractional-order systems because nonlocal characteristics derivatives. This paper introduces innovative eight-dimensional chaotic that investigate dynamics. These exploit memory effect inherent Grünwald–Letnikov (G-L) derivative. approach enhances system’s applicability compatibility with traditional An 8D Chen’s system is utilized showcase effectiveness presented methodology hyperchaotic The simulation results demonstrate proposed algorithm outperforms existing algorithms both accuracy precision. Moreover, study utilizes 0–1 Test Chaos, Kolmogorov–Sinai (KS) entropy, Kaplan–Yorke dimension, Perron Effect analyze system. additional metrics offer a thorough insight into behavior stability characteristics.

Language: Английский

Citations

6
Color video encryption transmission in IoT based on memristive hopfield neural network DOI
Fei Yu,

Chaoran Wu,

Si Xu

et al.

Signal Image and Video Processing, Journal Year: 2024, Volume and Issue: 19(1)

Published: Dec. 6, 2024

Language: Английский

Citations

4
Double Security Level Protection Based on Chaotic Maps and SVD for Medical Images DOI Creative Commons

Conghuan Ye,

Shenglong Tan, Jun Wang

et al.

Mathematics, Journal Year: 2025, Volume and Issue: 13(2), P. 182 - 182

Published: Jan. 8, 2025

The widespread distribution of medical images in smart healthcare systems will cause privacy concerns. unauthorized sharing decrypted remains uncontrollable, though image encryption can discourage disclosure. This research proposes a double-level security scheme for to overcome this problem. proposed joint and watermarking is based on singular-value decomposition (SVD) chaotic maps. First, three different random sequences are used encrypt the LL subband discrete wavelet transform (DWT) domain; then, HL LH sub-bands embedded with watermark information; end, we obtain watermarked encrypted inverse DWT (IDWT) transform. In study, SVD domain. main originality that decryption extraction be performed separately. Experimental results demonstrate superiority method key spaces (10225), PSNR (76.2543), UACI (0.3329). implementation, following achievements attained. our meet requests levels. Second, Third, detected Thus, experiment analysis effectiveness scheme.

Language: Английский

Citations

0
Chaotic Dynamics Analysis and FPGA Implementation Based on Gauss Legendre Integral DOI Creative Commons
Wen Li, Li Cui, Hairong Lin

et al.

Mathematics, Journal Year: 2025, Volume and Issue: 13(2), P. 201 - 201

Published: Jan. 9, 2025

In this paper, we first design the corresponding integration algorithm and matlab program according to Gauss–Legendre principle. Then, select Lorenz system, Duffing hidden attractor chaotic system Multi-wing for dynamics analysis. We apply integral Runge–Kutta solution of dissipative systems time analyze compare differences between two algorithms. propose a basin attraction estimation method based on Lyapunov exponent decision criterion method. This can better obtain region distinguish pseudo-attractor, which provides new way Finally, use FPGA technology realize four algorithm.

Language: Английский

Citations

0
A Wide-Range Adjustable Conservative Memristive Hyperchaotic System with Transient Quasi-Periodic Characteristics and Encryption Application DOI Creative Commons
Fei Yu, Boon Thong Tan, Ting He

et al.

Mathematics, Journal Year: 2025, Volume and Issue: 13(5), P. 726 - 726

Published: Feb. 24, 2025

In comparison with dissipative chaos, conservative chaos is better equipped to handle the risks associated reconstruction of phase space due absence attractors. This paper proposes a novel five-dimensional (5D) memristive hyperchaotic system (CMHS), by incorporating memristors into four-dimensional (4D) chaotic (CCS). We conducted comprehensive analysis, using Lyapunov exponent diagrams, bifurcation portraits, equilibrium points, and spectral entropy maps thoroughly verify system’s properties. The exhibited characteristics such as hyperchaos multi-stability over an ultra-wide range parameters initial values, accompanied transient quasi-periodic phenomena. Subsequently, pseudorandom sequences generated new were tested demonstrated excellent performance, passing all tests set National Institute Standards Technology (NIST). final stage research, image-encryption application based on 5D CMHS was proposed. Through security feasibility algorithm confirmed.

Language: Английский

Citations

0