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dc.contributor.authorSocha P.
dc.contributor.authorMiškovský V.
dc.contributor.authorNovotný M.
dc.date.accessioned2022-12-11T23:47:13Z
dc.date.available2022-12-11T23:47:13Z
dc.date.issued2022
dc.identifierV3S-358363
dc.identifier.citationSOCHA, P., V. MIŠKOVSKÝ, and M. NOVOTNÝ. A fair experimental evaluation of distance correlation side-channel distinguisher. In: Proceedings of the 11th Mediterranean Conference on Embedded Computing (MECO 2022). 2022 11th Mediterranean Conference on Embedded Computing (MECO), Budva, 2022-06-07/2022-06-10. Institute of Electrical and Electronics Engineers, Inc., 2022. p. 110-113. ISSN 2637-9511. ISBN 978-1-6654-6828-2. DOI 10.1109/MECO55406.2022.9797142.
dc.identifier.isbn978-1-6654-6828-2 (print)
dc.identifier.issn2637-9511 (print)
dc.identifier.urihttp://hdl.handle.net/10467/105276
dc.description.abstractSide-channel attacks pose a severe threat to crypto graphic implementations, allowing the attacker to recover secret information based on physical observations of the cryptographic device. Correlation Power Analysis is considered to be one of the most powerful attacks in the non-profiled scenario. In this paper, we consider the distance/Brownian correlation instead of the traditionally used Pearson coefficient. We give a fair comparison of our novel approach attacking AES on three different FPGA platforms and we discuss the distance correlation potential in the context of side-channel analysis.eng
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers, Inc.
dc.relation.ispartofProceedings of the 11th Mediterranean Conference on Embedded Computing (MECO 2022)
dc.subjectSide-Channel Analysiseng
dc.subjectEmbedded Securityeng
dc.subjectInternet of Thingseng
dc.subjectCorrelation Power Analysiseng
dc.subjectNon-linear Correlationeng
dc.titleA fair experimental evaluation of distance correlation side-channel distinguishereng
dc.typestať ve sborníkucze
dc.typeconference papereng
dc.identifier.doi10.1109/MECO55406.2022.9797142
dc.relation.projectidinfo:eu-repo/grantAgreement/Ministry of Education, Youth and Sports/LM/90140/CZ/e-INFRA CZ - e-Infrastruktura CZ - LM2018140 (2020–2022)/e-INFRA CZ
dc.relation.projectidinfo:eu-repo/grantAgreement/Ministry of Interior/VJ/VJ02010010/CZ/Tools for AI-enhanced Security Verification of Cryptographic Devices/AI-SecTools
dc.rights.accessopenAccess
dc.identifier.wos000855969800024
dc.type.statusPeer-reviewed
dc.type.versionacceptedVersion
dc.identifier.scopus2-s2.0-85133975679
dc.relation.conference2022 11th Mediterranean Conference on Embedded Computing (MECO)


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