Improving the pseudo-randomness properties of chaotic maps using deep-zoom

DOI10.1063/1.4983836zbMath1452.65011arXiv1611.07539OpenAlexW2552776334WikidataQ48334397 ScholiaQ48334397MaRDI QIDQ4642599

Odemir Martinez Bruno, Jeaneth Machicao

Publication date: 23 May 2018

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1611.07539

Mathematics Subject Classification ID

Random number generation in numerical analysis (65C10) Dynamical systems in numerical analysis (37N30)

Related Items

A visual analysis method of randomness for classifying and ranking pseudo-random number generators, Optimal quantum image encryption algorithm with the QPSO-BP neural network-based pseudo random number generator, How to perturb Bernoulli shift map, Minimal digital chaotic system, Chaotical PRNG based on composition of logistic and tent maps using deep-zoom

Uses Software

• MersenneTwister
• Diehard
• apfloat
• NIST Statistical Test Suite

Cites Work

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