Cache based remote timing attack on the AES

dc.contributor.authorAcıiçmez, Onur
dc.contributor.authorSchindler, Werner
dc.contributor.authorKoç, Çetin Kaya
dc.date.accessioned2020-11-21T15:53:26Z
dc.date.available2020-11-21T15:53:26Z
dc.date.issued2007en_US
dc.departmentİstanbul Ticaret Üniversitesien_US
dc.descriptionCryptographers Track at the RSA Conference, CT-RSA 2007 -- 5 February 2007 through 9 February 2007 -- -- 194419en_US
dc.description.abstractWe introduce a new robust cache-based timing attack on AES. We present experiments and concrete evidence that our attack can be used to obtain secret keys of remote cryptosystems if the server under attack runs on a multitasking or simultaneous multithreading system with a large enough workload. This is an important difference to recent cache-based timing attacks as these attacks either did not provide any supporting experimental results indicating if they can be applied remotely, or they are not realistically remote attacks. © Springer-Verlag Berlin Heidelberg 2007.en_US
dc.identifier.endpage286en_US
dc.identifier.issn0302-9743
dc.identifier.issn9.78354E+12
dc.identifier.scopus2-s2.0-85022027006en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage271en_US
dc.identifier.urihttps://hdl.handle.net/11467/3581
dc.identifier.volume4377 LNCSen_US
dc.identifier.wosWOS:000244559100018en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Verlagen_US
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAESen_US
dc.subjectCache attacken_US
dc.subjectRemote attacken_US
dc.subjectSide channel analysisen_US
dc.subjectTiming analysisen_US
dc.titleCache based remote timing attack on the AESen_US
dc.typeConference Objecten_US

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