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
Parents
227
Pierre L’Ecuyer, Richard Simard · ACM Transactions on Mathematical Software · 2007 · 998 citations
George Marsaglia · Journal of Statistical Software · 2003 · 418 citations · Full text
A pseudo-random number generator for the System/360
Peter Lewis, A. S. Goodman, J. M. Miller · IBM Systems Journal · 1969 · 373 citations
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235
Université de Montréal
Montreal, Canada
13 h-index
21 publications
2.9K citations
KU Leuven
Leuven, Belgium
7 h-index
26 publications
405 citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
13 publications
505 citations
National Research Nuclear University MEPhI
Moscow, Russia
4 h-index
10 publications
167 citations
Technical University of Cluj-Napoca
Cluj-Napoca, Romania
4 h-index
16 publications
238 citations
Fırat University
Elâzığ, Türkiye
4 h-index
7 publications
245 citations

Istanbul Technical University
Istanbul, Türkiye
4 h-index
8 publications
206 citations
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Ankara, Türkiye
4 h-index
5 publications
216 citations
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5 publications · 288 citations
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PRE · 5 publications · 75 citations
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4 publications · 171 citations
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JACM · 4 publications · 430 citations
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TOMACS · 4 publications · 189 citations
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