Random Number Generator Testing

Random Number Generator Testing is a systematic methodological framework used to evaluate the statistical randomness and cryptographic robustness of sequences produced by random number generators, distinguishing it from general validation techniques by its specific focus on detecting deviations from ideal stochastic behavior in pseudo- and true random number generation processes.

227

Publications

10.1K

Citations

464

Authors

235

Institutions

Publications per year

2017–2026

46

Variants

Rng Testing

Authors

464

  1. PL
    Pierre L’Ecuyer

    Université de Montréal, Canada

    15 publications · 1.7K citations

    14

    h-index

  2. SE
    Salih Ergün

    Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, Türkiye

    7 publications · 206 citations

    7

    h-index

  3. IV
    Ingrid Verbauwhede

    KU Leuven, Belgium

    6 publications · 93 citations

    6

    h-index

  4. VR
    Vladimir Rožić

    KU Leuven, Belgium

    5 publications · 78 citations

    5

    h-index

  5. RS
    Richard Simard

    Université de Montréal, Canada

    4 publications · 1.1K citations

    4

    h-index

1–5 of 464

Venues

  1. 5

    h-index

  2. 5

    h-index

  3. International Journal of Modern Physics C

    4 publications · 171 citations

    4

    h-index

  4. Journal of the ACM

    JACM · 4 publications · 430 citations

    4

    h-index

  5. ACM Transactions on Modeling and Computer Simulation

    TOMACS · 4 publications · 189 citations

    4

    h-index

1–5