Testing the NIST Statistical Test Suite on artificial pseudorandom sequences

DOI10.4213/mvk286zbMath1473.62072OpenAlexW2966620498MaRDI QIDQ3383065

Aleksandr A. Serov, Andrey M. Zubkov

Publication date: 23 September 2021

Published in: Matematicheskie Voprosy Kriptografii [Mathematical Aspects of Cryptography] (Search for Journal in Brave)

Full work available at URL: http://mathnet.ru/eng/mvk286

zbMATH Keywords

pseudorandom sequencesNIST statistical test suitestatistical tests of uniformity and independence

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Parametric hypothesis testing (62F03) Foundations and philosophical topics in statistics (62A01) Cryptography (94A60) Data encryption (aspects in computer science) (68P25) Random number generation in numerical analysis (65C10) Pseudo-random numbers; Monte Carlo methods (11K45)

Related Items (4)

Энтропия как характеристика качества случайных последовательностей ⋮ The limit joint distributions of statistics of three tests of the NIST package ⋮ Limit theorem for a smoothed version of the spectral test for testing the equiprobability of a binary sequence ⋮ A natural approach to the experimental study of dependence between statistical tests

Uses Software

• SPRNG
• Diehard
• NIST Statistical Test Suite

Cites Work

• A universal statistical test for random bit generators
• Unnamed Item

This page was built for publication: Testing the NIST Statistical Test Suite on artificial pseudorandom sequences