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ID 63750
フルテキストURL
fulltext.pdf 2.67 MB
著者
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
抄録
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.
キーワード
true random number generator
ring oscillator
Markov process
hypothesis testing
発行日
2022-05-31
出版物タイトル
Entropy
24巻
6号
出版者
MDPI
開始ページ
780
ISSN
1099-4300
資料タイプ
学術雑誌論文
言語
英語
OAI-PMH Set
岡山大学
著作権者
© 2022 by the authors.
論文のバージョン
publisher
PubMed ID
DOI
Web of Science KeyUT
関連URL
isVersionOf https://doi.org/10.3390/e24060780
ライセンス
https://creativecommons.org/licenses/by/4.0/