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dc.contributor.authorAmirbekyan, Artaken_US
dc.contributor.authorEstivill-Castro, Vladimiren_US
dc.contributor.editorEditor exceeds RIMS limiten_US
dc.date.accessioned2017-05-03T14:15:56Z
dc.date.available2017-05-03T14:15:56Z
dc.date.issued2007en_US
dc.date.modified2008-07-14T03:19:28Z
dc.identifier.urihttp://hdl.handle.net/10072/17249
dc.description.abstractRecently, privacy issues have become important in data analysis, especially when data is horizontally partitioned over several parties. In data mining, the data is typically represented as attribute-vectors and, for many applications, the scalar (dot) product is one of the fundamental operations that is repeatedly used. In privacy-preserving data mining, data is distributed across several parties. The efficiency of secure scalar products is important, not only because they can cause overhead in communication cost, but dot product operations also serve as one of the basic building blocks for many other secure protocols. Although several solutions exist in the relevant literature for this problem, the need for more efficient and more practical solutions still remains. In this paper, we present a very efficient and very practical secure scalar product protocol. We compare it to the most common scalar product protocols. We not only show that our protocol is much more efficient than the existing ones, we also provide experimental results by using a real life dataset.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent437079 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherAustralian Computer Society Inc.en_US
dc.publisher.placeSydney NSWen_US
dc.publisher.urihttp://crpit.com/abstracts/CRPITV70Amirbekyan.htmlen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameSixth Australasian Data Mining Conference (AusDM 2007)en_US
dc.relation.ispartofconferencetitleData mining and analytics 2007 : proceedings of the Sixth Australasian Data Mining Conference (AusDM'07), Gold Coast, Australia, 3-4 December, 2007en_US
dc.relation.ispartofdatefrom2007-12-03en_US
dc.relation.ispartofdateto2007-12-04en_US
dc.relation.ispartoflocationGold Coast, Australiaen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280505en_US
dc.titleA New Efficient Privacy-Preserving Scalar Product Protocolen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, School of Information and Communication Technologyen_US
gro.rights.copyrightCopyright 2007 Australian Computer Society Inc. The attached file is reproduced here in accordance with the copyright policy of the publisher. Use hypertext link to access the publisher's website.en_AU
gro.date.issued2007
gro.hasfulltextFull Text


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  • Conference outputs
    Contains papers delivered by Griffith authors at national and international conferences.

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