Results 11 to 20 of about 11,341,287 (236)

Pseudorandom number generation with self programmable cellular automata [PDF]

open access: yes, 2004
In this paper, we propose a new class of cellular automata – self programming cellular automata (SPCA) with specific application to pseudorandom number generation. By changing a cell's state transition rules in relation to factors such as its neighboring
Guan, SU, Tan, SK
core   +7 more sources

Pseudorandom Number Generation: Impossibility and Compromise

open access: yesJ. Univers. Comput. Sci., 2006
JUCS - Journal of Universal Computer Science Volume Nr.
Matsumoto,Makoto   +3 more
openaire   +2 more sources

Incremental evolution of cellular automata for random number generation [PDF]

open access: yes, 2003
Cellular automata (CA) have been used in pseudorandom number generation for over a decade. Recent studies show that controllable CA (CCA) can generate better random sequences than conventional one-dimensional (1-d) CA and compete with two-dimensional (2 ...
Guan, SU, Zhang, S
core   +8 more sources

An Evolutionary Approach to the Design of Controllable Cellular Automata Structure for Random Number Generation [PDF]

open access: yes, 2003
Cellular Automata (CA) has been used in pseudorandom number generation over a decade. Recent studies show that two-dimensional (2-d) CA Pseudorandom Number Generators (PRNGs) may generate better random sequences than conventional one-dimensional (1-d) CA
Guan, SU, Zhang, S
core   +7 more sources

Evaluation of Pseudo-Random Number Generation on GPU Cards

open access: yesComputation, 2021
Monte Carlo methods rely on sequences of random numbers to obtain solutions to many problems in science and engineering. In this work, we evaluate the performance of different pseudo-random number generators (PRNGs) of the Curand library on a number of ...
Tair Askar   +3 more
doaj   +1 more source

PSEUDORANDOM NUMBER GENERATOR ON CELLULAR AUTOMATA [PDF]

open access: yesНаучно-технический вестник информационных технологий, механики и оптики, 2018
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.
doaj   +1 more source

On pseudorandom number generators [PDF]

open access: yesACTA IMEKO, 2020
<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

Permutation and sampling with maximum length CA for pseudorandom number generation [PDF]

open access: yes, 2007
In this paper, we study the effect of dynamic permutation and sampling on the randomness quality of sequences generated by cellular automata (CA). Dynamic permutation and sampling have not been explored in previous CA work and a suitable implementation ...
Wijaya, S, Guan, SU, Tan, SK
core   +7 more sources

A Guideline on Pseudorandom Number Generation (PRNG) in the IoT [PDF]

open access: yesACM Computing Surveys, 2020
Random numbers are an essential input to many functions on the Internet of Things (IoT). Common use cases of randomness range from low-level packet transmission to advanced algorithms of artificial intelligence as well as security and trust, which ...
Peter Kietzmann, T. Schmidt, M. Wahlisch
semanticscholar   +1 more source

Analysis of pseudorandom number generation processes in EP CRYSTALS-Dilithium

open access: yesRadiotekhnika, 2023
The paper provides an analysis of pseudorandom number generation processes in the Crystals-Dilithium post-quantum electronic signature scheme, a finalist in the NIST PQC post-quantum cryptography competition. The main focus is on the pseudo-random number
S. О. Kandiy
semanticscholar   +1 more source

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