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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Publication Details

Journal
Automatic Control and Computer Sciences
Published
2024-12-01
DOI
https://doi.org/10.3103/s0146411624700962
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
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article

Probability-Theoretical Models of Physical Random Number Generators

Vladimir Olegovich Mironkin, D. S. Bogdanov, Alexander S. Logachev
Automatic Control and Computer Sciences
Chaos-based Image/Signal Encryption
article

Probability-Theoretical Models of Physical Random Number Generators

Vladimir Olegovich Mironkin, D. S. Bogdanov, Alexander S. Logachev
article en

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.

Automatic Control and Computer SciencesVol. 58(8)
National Research University Higher School of Economics (RU), TPV Technology (China) (CN), MIREA - Russian Technological University (RU)
Openalex Percentile: Top 72%
Chaos-based Image/Signal Encryption
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