An Efficient Design and FPGA Implementation of a Hyper-Chaotic and Deep Learning Based PRNG for Image Security Application DOI

Youcef Alloun,

Mohamed Salah Azzaz, Abdenour Kifouche

и другие.

Опубликована: Дек. 17, 2024

Язык: Английский

Memristive multi-wing chaotic hopfield neural network for LiDAR data security DOI
Quanli Deng, Chunhua Wang, Yichuang Sun

и другие.

Nonlinear Dynamics, Год журнала: 2025, Номер unknown

Опубликована: Фев. 20, 2025

Язык: Английский

Процитировано

1
Novel hyperchaotic system: Implementation to audio encryption DOI
Shuang Zhou, Yanli Yin, Uğur Erkan

и другие.

Chaos Solitons & Fractals, Год журнала: 2025, Номер 193, С. 116088 - 116088

Опубликована: Фев. 12, 2025

Язык: Английский

Процитировано

1
A novel PRNG for fiber optic transmission DOI

Sarra Senouci,

Sid Ali Madoune, Mohammed Raouf Senouci

и другие.

Chaos Solitons & Fractals, Год журнала: 2025, Номер 192, С. 116038 - 116038

Опубликована: Янв. 29, 2025

Язык: Английский

Процитировано

0
Design and Practical Implementation of a Novel Hyperchaotic System Generator Based on Apéry's Constant DOI
Ömer Koçak, Uğur Erkan,

İsmail Babaoglu

и другие.

Integration, Год журнала: 2025, Номер unknown, С. 102399 - 102399

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
VLSI architecture of a True Random Number Generator with hierarchical Von Neumann corrector and hybrid run length-Golomb coding for data compression DOI

G. Manavaalan,

Sankar Jayaram,

S. Gunasekaran

и другие.

Analog Integrated Circuits and Signal Processing, Год журнала: 2025, Номер 123(3)

Опубликована: Апрель 4, 2025

Язык: Английский

Процитировано

0
Introduction to the Design and Implementation of PRNGs Based on Chaotic Maps and Systems DOI
Luis Gerardo de la Fraga,

José David Rodríguez-Muñoz,

Esteban Tlelo-Cuautle

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Generation of n-dimensional complex chaotic system via parameter matrix configuration DOI

Jinhui Yao,

Yinxing Zhang, Han Bao

и другие.

Chaos Solitons & Fractals, Год журнала: 2025, Номер 197, С. 116453 - 116453

Опубликована: Апрель 29, 2025

Язык: Английский

Процитировано

0
Proposal of a Novel Quaternionic Integer Reversible Racah Transform and a Hyperchaotic System for Secure Encryption of Colored Medical Images DOI

Karim El-Khanchouli,

Nour-Eddine Joudar,

Mhamed Sayyouri

и другие.

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 128024 - 128024

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0
2D logistic map with unit transfer function and modulus operation based pseudorandom number generation for image encryption DOI Creative Commons
Rais Ahmad,

Ghawar Said,

Aymen Flah

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Июнь 2, 2025

This study presents a novel approach to generating high-quality random numbers using two-dimensional logistic map with unit transfer function (2DLMUTF). The method is built upon the chaotic dynamics of map, where parameter [Formula: see text] governs system's behavior, exhibiting nature in range 3.57 4. By applying and modulus operation, output constrained within [0, 1] range, altering phase space compared traditional 2D maps. Numerical simulations MATLAB, parameters text]=4, text]=3.8, initial seed values text]=0.2350 text]=0.3500, were run for iterations. Statistical testing NIST SP 800 - 22 test suite showed superior randomness, passing all 15 tests. Additionally, uniformity, autocorrelation, cross-correlation, entropy analyses confirmed method's suitability cryptographic applications. generated used create substitution boxes (S-boxes) image encryption, demonstrating strong encryption performance. Overall, 2DLMUTF offers computationally efficient secure solution number generation which suitable

Язык: Английский

Процитировано

0
A Hardware-Accelerated Approach to Chaotic Image Encryption: LTB Map and FPGA Implementation DOI Creative Commons
Mohamed Yamni, Achraf Daoui, Paweł Pławiak

и другие.

IEEE Access, Год журнала: 2024, Номер 12, С. 103921 - 103940

Опубликована: Янв. 1, 2024

The need for high-speed and secure image encryption has become increasingly critical in the digital age, driven by rapid growth of data, advancement internet technologies, limitations traditional algorithms. This paper addresses this proposing a novel that leverages flexibility parallelism Field-Programmable Gate Arrays (FPGAs). Firstly, we present LTB map, an enhanced chaotic map synergistically combines three distinct 1D maps (the Logistic, Tent, Bernoulli shift maps) into single framework. resulting exhibits expanded key space heightened level complexity unpredictability compared to its constituent operating independently. Furthermore, adopts 32-bit fixed-point representation involves simple operations like addition, subtraction, multiplication, resource-efficient implementation on FPGA platform. Additionally, propose new algorithm based map. plays pivotal role scrambling pixel values positions during confusion diffusion operations, thereby ensuring robust security. By leveraging inherent parallelizing coupled with efficient hardware FPGAs, our method achieves performance while maintaining strong security properties.

Язык: Английский

Процитировано

2