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
Parents
55
Random Number Generation and Monte Carlo Methods
Craig B. Borkowf, James E. Gentle · Technometrics · 2000 · 809 citations
Business, Mathematics, Statistics +11
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University of Zurich
Zurich, Switzerland
3 h-index
3 publications
97 citations
University Hospital of Zurich
Zurich, Switzerland
3 h-index
3 publications
105 citations
Syracuse University
Syracuse, United States
2 h-index
2 publications
111 citations

Christian-Albrechts-Universität zu Kiel
Kiel, Germany
2 h-index
4 publications
102 citations
Swiss Integrative Center for Human Health
Fribourg, Switzerland
2 h-index
2 publications
56 citations

Oak Ridge National Laboratory
Oak Ridge, United States
2 h-index
3 publications
629 citations
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Ankara, Türkiye
2 h-index
2 publications
30 citations
King's College London
London, United Kingdom
1 h-index
1 publications
425 citations
1–8 of 80
3 publications · 1K citations
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MCOM · 2 publications · 485 citations
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JACM · 2 publications · 332 citations
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2 publications · 63 citations
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2 publications · 31 citations
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