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        <identifier>oai:ipsj.ixsq.nii.ac.jp:00217589</identifier>
        <datestamp>2025-01-19T15:25:21Z</datestamp>
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        <jpcoar:jpcoar xmlns:datacite="https://schema.datacite.org/meta/kernel-4/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcndl="http://ndl.go.jp/dcndl/terms/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:jpcoar="https://github.com/JPCOAR/schema/blob/master/1.0/" xmlns:oaire="http://namespace.openaire.eu/schema/oaire/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rioxxterms="http://www.rioxx.net/schema/v2.0/rioxxterms/" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns="https://github.com/JPCOAR/schema/blob/master/1.0/" xsi:schemaLocation="https://github.com/JPCOAR/schema/blob/master/1.0/jpcoar_scm.xsd">
          <dc:title>秘密分散法を利用したPUFのセキュア認証方式とその評価</dc:title>
          <dc:title xml:lang="en">PUF Secure Authentication Method Using Secret Sharing Schemes and its Evaluation</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName>野崎, 佑典</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName>吉川, 雅弥</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Yusuke, Nozaki</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Masaya, Yoshikawa</jpcoar:creatorName>
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          <jpcoar:subject subjectScheme="Other">[特集:若手研究者] ハードウェアセキュリティ，PUF，機械学習攻撃，秘密分散法</jpcoar:subject>
          <datacite:description descriptionType="Other">本研究では，新たに秘密分散法を利用したPhysically Unclonable Function（PUF）のセキュア認証方式を提案する．提案手法では，PUFレスポンスから生成した分散情報を通信に用いることで，機械学習攻撃への耐性を向上させる．評価実験では，機械学習攻撃による安全性評価を行い，提案手法が攻撃に対して耐性を持つことを明らかにした．また，回路規模の比較結果から従来の対策PUFを用いた認証方式と比較して回路規模を削減し，提案手法は小回路規模で利用可能であることを示した．</datacite:description>
          <datacite:description descriptionType="Other">This paper proposes a new physically unclonable function (PUF) secure authentication method utilizing secret sharing schemes. The proposed method enhances the resistance against machine learning attacks by using distributed values generated from PUF responses for communication. Experimental results of security evaluation showed the proposed method had the resistance to machine learning attacks. In addition, the comparison results showed that the proposed method could reduce the circuit area.</datacite:description>
          <datacite:date dateType="Issued">2022-03-15</datacite:date>
          <dc:language>jpn</dc:language>
          <dc:type rdf:resource="http://purl.org/coar/resource_type/c_6501">journal article</dc:type>
          <jpcoar:identifier identifierType="DOI">https://doi.org/10.20729/00217481</jpcoar:identifier>
          <jpcoar:identifier identifierType="URI">https://ipsj.ixsq.nii.ac.jp/records/217589</jpcoar:identifier>
          <jpcoar:identifierRegistration identifierType="JaLC">10.20729/00217481</jpcoar:identifierRegistration>
          <jpcoar:sourceIdentifier identifierType="ISSN">1882-7764</jpcoar:sourceIdentifier>
          <jpcoar:sourceIdentifier identifierType="NCID">AN00116647</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>情報処理学会論文誌</jpcoar:sourceTitle>
          <jpcoar:volume>63</jpcoar:volume>
          <jpcoar:issue>3</jpcoar:issue>
          <jpcoar:pageStart>840</jpcoar:pageStart>
          <jpcoar:pageEnd>848</jpcoar:pageEnd>
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            <datacite:date dateType="Available">2024-03-15</datacite:date>
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