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ID 63750
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Author
Kodera, Yuta Graduate School of Natural Science and Technology, Okayama University
Sato, Ryoichi Graduate School of Natural Science and Technology, Okayama University
Ali, Md Arshad Department of Computer Science and Engineering, Hajee Mohammad Danesh Science and Technology University (HSTU)
Kusaka, Takuya Graduate School of Natural Science and Technology, Okayama University
Nogami, Yasuyuki Graduate School of Natural Science and Technology, Okayama University Kaken ID publons researchmap
Abstract
A ring oscillator is a well-known circuit used for generating random numbers, and interested readers can find many research results concerning the evaluation of the randomness with a packaged test suit. However, the authors think there is room for evaluating the unpredictability of a sequence from another viewpoint. In this paper, the authors focus on Wold's RO-based generator and propose a statistical test to numerically evaluate the randomness of the RO-based generator. The test adopts the state transition probabilities in a Markov process and is designed to check the uniformity of the probabilities based on hypothesis testing. As a result, it is found that the RO-based generator yields a biased output from the viewpoint of the transition probability if the number of ROs is small. More precisely, the transitions 01 -> 01 and 11 -> 11 happen frequently when the number l of ROs is less than or equal to 10. In this sense, l > 10 is recommended for use in any application, though a packaged test suit is passed. Thus, the authors believe that the proposed test contributes to evaluating the unpredictability of a sequence when used together with available statistical test suits, such as NIST SP800-22.
Keywords
true random number generator
ring oscillator
Markov process
hypothesis testing
Published Date
2022-05-31
Publication Title
Entropy
Volume
volume24
Issue
issue6
Publisher
MDPI
Start Page
780
ISSN
1099-4300
Content Type
Journal Article
language
English
OAI-PMH Set
岡山大学
Copyright Holders
© 2022 by the authors.
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Related Url
isVersionOf https://doi.org/10.3390/e24060780
License
https://creativecommons.org/licenses/by/4.0/