Cognitive Neurodynamics, Journal Year: 2024, Volume and Issue: 18(6), P. 3847 - 3858
Published: Aug. 31, 2024
Language: Английский
Cognitive Neurodynamics, Journal Year: 2024, Volume and Issue: 18(6), P. 3847 - 3858
Published: Aug. 31, 2024
Language: Английский
Neural Networks, Journal Year: 2024, Volume and Issue: 182, P. 106904 - 106904
Published: Nov. 17, 2024
Language: Английский
Citations
22Chaos 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
4Fractal 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
3Chaos Solitons & Fractals, Journal Year: 2025, Volume and Issue: 193, P. 116149 - 116149
Published: Feb. 18, 2025
Language: Английский
Citations
2Mathematics, 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
12Chinese Journal of Physics, Journal Year: 2024, Volume and Issue: 91, P. 966 - 976
Published: Aug. 27, 2024
Language: Английский
Citations
11Neurocomputing, Journal Year: 2025, Volume and Issue: unknown, P. 129967 - 129967
Published: March 1, 2025
Language: Английский
Citations
1Signal Image and Video Processing, Journal Year: 2024, Volume and Issue: 19(1)
Published: Dec. 6, 2024
Language: Английский
Citations
4Entropy, Journal Year: 2025, Volume and Issue: 27(3), P. 299 - 299
Published: March 13, 2025
A hyperchaotic system was analyzed in this study, and its behavior confirmed through dynamic analysis. The utilized to develop a pseudo-random number generator (PRNG), whose statistical reliability validated NIST SP800-22 tests, demonstrating suitability for cryptographic applications. Additionally, 16 × S-box constructed based on the system, ensuring high nonlinearity strong performance. comparative analysis revealed that proposed structure outperforms existing designs terms of security efficiency. new image encryption algorithm designed using PRNG S-box, performance evaluated 512 grayscale images, including commonly used baboon pepper images. decryption process successfully restored original confirming scheme’s reliability. Security evaluations, histogram analysis, entropy measurement, correlation resistance differential noise attacks, were conducted. findings showed suggested current techniques This study contributes advancement robust generation, secure design, efficient algorithms systems, offering promising approach communication data protection.
Language: Английский
Citations
0Nonlinear Dynamics, Journal Year: 2025, Volume and Issue: unknown
Published: April 5, 2025
Language: Английский
Citations
0