Random Number Generation Analysis

Random Number Generation Analysis is a methodological framework within encryption analysis that systematically evaluates the statistical properties, unpredictability, and cryptographic robustness of random number generators to ensure their suitability for secure key generation and encryption protocols.

55

Publications

4.5K

Citations

118

Authors

80

Institutions

Publications per year

2017–2026

4

Authors

118

  1. PB
    Peter Brugger

    University Hospital of Zurich, Switzerland

    4 publications · 127 citations

    4

    h-index

  2. PC
    Paul Coddington

    The University of Adelaide, Australia

    2 publications · 111 citations

    2

    h-index

  3. RC
    R. C. Tausworthe

    Jet Propulsion Laboratory, United States

    2 publications · 485 citations

    2

    h-index

  4. SE
    Salih Ergün

    Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, Türkiye

    2 publications · 47 citations

    2

    h-index

  5. AC
    Adrian Coleşa

    Technical University of Cluj-Napoca, Romania

    1 publications · 17 citations

    1

    h-index

1–5 of 118

Venues

  1. Technometrics

    3 publications · 1K citations

    3

    h-index

  2. Mathematics of Computation

    MCOM · 2 publications · 485 citations

    2

    h-index

  3. Journal of the ACM

    JACM · 2 publications · 332 citations

    2

    h-index

  4. PLoS ONE

    2 publications · 63 citations

    2

    h-index

  5. Perceptual and Motor Skills

    2 publications · 31 citations

    2

    h-index

1–5