Further analysis of the statistical independence of the NIST SP 800-22 randomness tests

DOI10.1016/j.amc.2023.128222OpenAlexW4385574527MaRDI QIDQ6048639

Luis Javier García Villalba, Julio Cesar Hernandez Castro, Elena Almaraz Luengo, Bittor Alaña Olivares

Publication date: 11 October 2023

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2023.128222

zbMATH Keywords

correlationindependencerandomnesstrue random number generator (TRNG)pseudo-random number generator (PRNG)test suitestatistical hypothesis testNIST SP 800-22DieharderENT

Mathematics Subject Classification ID

Computer science (68-XX) Communication, information (94Axx) Probabilistic methods, stochastic differential equations (65Cxx)

Cites Work

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• Simulation and the Monte Carlo Method
• On Lempel-Ziv Complexity of Sequences