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A Pseudo-Random Generator Whose Output is a Normal Sequence. / Ryabko, Boris.
в: International Journal of Foundations of Computer Science, Том 32, № 8, 01.12.2021, стр. 981-989.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - A Pseudo-Random Generator Whose Output is a Normal Sequence
AU - Ryabko, Boris
N1 - This work was supported by the Russian Foundation for Basic Research (grant 18-29-03005). Publisher Copyright: © 2021 World Scientific Publishing Company.
PY - 2021/12/1
Y1 - 2021/12/1
N2 - Pseudo-random number generators (PRNGs) are widely used in computer simulation, cryptography, and many other fields. In this paper, we describe a PRNG class, which, firstly, has been successfully tested using the most powerful modern test batteries, and secondly, is proved to consist of generators that generate normal sequences. The latter property means that, for any generated sequence x1x2... and any binary word w, we have limt→∞νt(w)/(t -|w|) = 2-|w|, where νt(w) is the number of occurrences of w in the sequence x1...x|w|, x2... x|w|+1,...,xt-|w|+1...xt.
AB - Pseudo-random number generators (PRNGs) are widely used in computer simulation, cryptography, and many other fields. In this paper, we describe a PRNG class, which, firstly, has been successfully tested using the most powerful modern test batteries, and secondly, is proved to consist of generators that generate normal sequences. The latter property means that, for any generated sequence x1x2... and any binary word w, we have limt→∞νt(w)/(t -|w|) = 2-|w|, where νt(w) is the number of occurrences of w in the sequence x1...x|w|, x2... x|w|+1,...,xt-|w|+1...xt.
KW - normal sequences
KW - Pseudo-random number generators
KW - randomness testing
UR - http://www.scopus.com/inward/record.url?scp=85117072661&partnerID=8YFLogxK
U2 - 10.1142/S0129054121500325
DO - 10.1142/S0129054121500325
M3 - Article
AN - SCOPUS:85117072661
VL - 32
SP - 981
EP - 989
JO - International Journal of Foundations of Computer Science
JF - International Journal of Foundations of Computer Science
SN - 0129-0541
IS - 8
ER -
ID: 34562177