Show simple item record

dc.contributor.authorChoudary, Marios Oen
dc.contributor.authorKuhn, Markusen
dc.date.accessioned2015-05-28T14:23:45Z
dc.date.available2015-05-28T14:23:45Z
dc.date.issued2015-03-17en
dc.identifier.citationChoudary and Kuhn Lecture Notes in Computer Science Volume 8968, 2015, pp 85-103. 10.1007/978-3-319-16763-3_6en
dc.identifier.issn0302-9743
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/248067
dc.description.abstractTemplate attacks and stochastic models are among the most powerful side-channel attacks. However, they can be computationally expensive when processing a large number of samples. Various compression techniques have been used very successfully to reduce the data dimensionality prior to applying template attacks, most notably Principal Component Analysis (PCA) and Fisher’s Linear Discriminant Analysis (LDA). These make the attacks more efficient computationally and help the profiling phase to converge faster. We show how these ideas can also be applied to implement stochastic models more efficiently, and we also show that they can be applied and evaluated even for more than eight unknown data bits at once.
dc.languageEnglishen
dc.language.isoenen
dc.publisherSpringer
dc.subjectSide-channel attacksen
dc.subjectTemplate attacken
dc.subjectStochastic modelen
dc.subjectPCAen
dc.subjectLDAen
dc.titleEfficient Stochastic Methods: Profiled Attacks Beyond 8 Bitsen
dc.typeConference Object
dc.description.versionThis is the author accepted manuscript. The final version is available from Springer via http://dx.doi.org/10.1007/978-3-319-16763-3_6en
prism.endingPage103
prism.publicationDate2015en
prism.publicationNameLecture Notes in Computer Scienceen
prism.startingPage85
prism.volume8968en
rioxxterms.versionofrecord10.1007/978-3-319-16763-3_6en
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2015-03-17en
dc.contributor.orcidKuhn, Markus [0000-0003-3902-5435]
dc.identifier.eissn1611-3349
rioxxterms.typeConference Paper/Proceeding/Abstracten


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record