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dc.contributor.authorHIROMOTO, Masayuki-
dc.contributor.authorYOSHINAGA, Motoki-
dc.contributor.authorSATO, Takashi-
dc.contributor.alternative廣本, 正之-
dc.contributor.alternative佐藤, 高史-
dc.date.accessioned2019-06-25T04:55:43Z-
dc.date.available2019-06-25T04:55:43Z-
dc.date.issued2018-07-01-
dc.identifier.issn0916-8508-
dc.identifier.issn1745-1337-
dc.identifier.urihttp://hdl.handle.net/2433/242228-
dc.description.abstractThis paper proposes MRO-PUF, a new architecture for ring-oscillator-based physically unclonable functions (PUFs) with enhanced resistance against machine learning attacks. In the proposed PUF, an instantaneous output value of a ring oscillator is used as a response, whereas the most existing PUFs directly use propagation delays to determine the response. Since the response of the MRO-PUF is non-linear and discontinuous as the delay of the ring oscillator increases, the prediction of the response by machine learning attacks is difficult. Through the performance evaluation of the MRO-PUF with simulations, it achieves 15 times stronger resistance against machine learning attacks using a support vector machine compared to the existing ones such as an arbiter PUF and a bistable ring PUF. The MRO-PUF also achieves a sufficient level of the basic performance of PUFs in terms of uniqueness and robustness.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisher電子情報通信学会-
dc.publisher.alternativeInstitute of Electronics, Information and Communications Engineers (IEICE)-
dc.rights© 2018 The Institute of Electronics, Information and Communication Engineers-
dc.rights許諾条件に基づいて掲載しています。-
dc.subjectphysically unclonable function (PUF)-
dc.subjectchip identification-
dc.subjectmachine learning attacks-
dc.subjectring oscillator-
dc.titleMRO-PUF: Physically Unclonable Function With Enhanced Resistance Against Machine Learning Attacks Utilizing Instantaneous Output of Ring Oscillator-
dc.type.niitypeJournal Article-
dc.identifier.jtitleIEICE Transactions of Fundamentals on Electronics, Communications and Computer Sciences-
dc.identifier.volumeE101-A-
dc.identifier.issue7-
dc.identifier.spage1035-
dc.identifier.epage1044-
dc.relation.doi10.1587/transfun.E101.A.1035-
dc.textversionpublisher-
dc.addressDepartment of Communications and Computer Engineering, Graduate School of Informatics, Kyoto University-
dc.addressDepartment of Communications and Computer Engineering, Graduate School of Informatics, Kyoto University-
dc.addressDepartment of Communications and Computer Engineering, Graduate School of Informatics, Kyoto University-
dc.identifier.kaken26280014 / 17H01713-
dc.relation.urlhttps://www.ieice.org/jpn/books/transaction.html-
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