Results 1 to 10 of about 8,865,576 (206)
A Pseudorandom Number Generator Based on the Chaotic Map and Quantum Random Walks [PDF]
In this paper, a surjective mapping that satisfies the Li–Yorke chaos in the unit area is constructed and a perturbation algorithm (disturbing its parameters and inputs through another high-dimensional chaos) is proposed to enhance the randomness of the ...
Wenbo Zhao +3 more
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Gaussian Pseudorandom Number Generator Based on Cyclic Rotations of Linear Feedback Shift Registers [PDF]
This paper presents a new proposal to generate optimal pseudorandom numbers with Gaussian distribution. The generator is especially designed for low-cost hardware implementation, although the software version is also considered.
Guillermo Cotrina +2 more
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PSEUDORANDOM NUMBER GENERATOR ON CELLULAR AUTOMATA [PDF]
Subject of Research. The paper presents an algorithm for pseudorandom number generationbased on properties of cellular automata. Cellular automata have high potential, high speed of calculations, especially at realization in parallel architecture. Method.
Mukhamedjanov D.D., Levina A.B.
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Applicability and Design Considerations of Chaotic and Quantum Entropy Sources for Random Number Generation in IoT Devices [PDF]
This article presents a comparative analysis of two types of generators of random sequences: one based on a discrete chaotic system being the logistic map, and the other being a commercial quantum random number generator QUANTIS-USB-4M.
Wieslaw Marszalek +3 more
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Dynamical Pseudo-Random Number Generator Using Reinforcement Learning
Pseudo-random number generators (PRNGs) are based on the algorithm that generates a sequence of numbers arranged randomly. Recently, random numbers have been generated through a reinforcement learning mechanism. This method generates random numbers based
Sungju Park +3 more
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Practical seed-recovery for the PCG Pseudo-Random Number Generator
The Permuted Congruential Generators (PCG) are popular conventional (non-cryptographic) pseudo-random generators designed in 2014. They are used by default in the NumPy scientific computing package.
Charles Bouillaguet +2 more
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On pseudorandom number generators [PDF]
<p class="Abstract">Statistical sampling and simulations produced by algorithms require fast random number generators; however, true random number generators are often too slow for the purpose, so pseudorandom number generators are usually more suitable.
Daniel Chicayban Bastos +2 more
openaire +1 more source
In this paper, a hybrid nature-inspired metaheuristic algorithm based on the Genetic Algorithm and the African Buffalo Optimization is proposed. The hybrid approach adaptively switches between the Genetic Algorithm and the African Buffalo Optimization ...
Marko Gulić, Martina Žuškin
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Development of Modified Blum-Blum-Shub Pseudorandom Sequence Generator and its Use in Education
In information security systems, the algorithm of the Blum-Blum-Shub (BBS) generator, which is based on the use of a one-way function and is a cryptographically secure pseudorandom number generator, became widespread.
Yu Shanshan +6 more
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Cryptographically Secure Pseudo-Random Number Generator IP-Core Based on SHA2 Algorithm
In the context of growing the adoption of advanced sensors and systems for active vehicle safety and driver assistance, an increasingly important issue is the security of the information exchanged between the different sub-systems of the vehicle.
Luca Baldanzi +6 more
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