Probability-Theoretical Models of Physical Random Number Generators

— This article presents the main probability-theoretic models that describe a wide class of physical random number generators and allow us to propose general approaches to their synthesis and analysis.

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Published in:Automatic control and computer sciences Vol. 58; no. 8; pp. 1303 - 1310
Main Authors: Bogdanov, D. S., Logachev, A. S., Mironkin, V. O.
Format: Journal Article
Language:English
Published: Moscow Pleiades Publishing 01.12.2024
Springer Nature B.V
Subjects:
Algorithms
Computer Science
Control Structures and Microprogramming
Random numbers
Random variables
Registration
Software
emission scheme
random processes
interval scheme
probability-theoretic model
instantaneous value scheme
optimal interpolation problem
physical random number generators
ISSN:0146-4116, 1558-108X
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Abstract — This article presents the main probability-theoretic models that describe a wide class of physical random number generators and allow us to propose general approaches to their synthesis and analysis.
AbstractList Abstract—This article presents the main probability-theoretic models that describe a wide class of physical random number generators and allow us to propose general approaches to their synthesis and analysis.
— This article presents the main probability-theoretic models that describe a wide class of physical random number generators and allow us to propose general approaches to their synthesis and analysis.
Author Bogdanov, D. S.
Mironkin, V. O.
Logachev, A. S.
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  organization: National Research University Higher School of Economics
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  givenname: A. S.
  surname: Logachev
  fullname: Logachev, A. S.
  organization: TVP Laboratory
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  givenname: V. O.
  surname: Mironkin
  fullname: Mironkin, V. O.
  organization: MIREA—Russian Technological University
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ContentType Journal Article
Copyright Allerton Press, Inc. 2024 ISSN 0146-4116, Automatic Control and Computer Sciences, 2024, Vol. 58, No. 8, pp. 1303–1310. © Allerton Press, Inc., 2024.Russian Text © The Author(s), 2024, published in Problemy Informatsionnoi Bezopasnosti, Komp’yuternye Sistemy, 2024, No. 3(61), pp. 9–19.
Allerton Press, Inc. 2024.
Copyright_xml – notice: Allerton Press, Inc. 2024 ISSN 0146-4116, Automatic Control and Computer Sciences, 2024, Vol. 58, No. 8, pp. 1303–1310. © Allerton Press, Inc., 2024.Russian Text © The Author(s), 2024, published in Problemy Informatsionnoi Bezopasnosti, Komp’yuternye Sistemy, 2024, No. 3(61), pp. 9–19.
– notice: Allerton Press, Inc. 2024.
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random processes
interval scheme
probability-theoretic model
instantaneous value scheme
optimal interpolation problem
physical random number generators
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Computer Science
Control Structures and Microprogramming
Random numbers
Random variables
Registration
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