Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Mutual private set intersection with linear complexity

Full metadata record
DC Field Value Language
dc.contributor.authorKim, M.-
dc.contributor.authorLee, H.T.-
dc.contributor.authorCheon, J.H.-
dc.date.accessioned2023-03-08T21:40:58Z-
dc.date.available2023-03-08T21:40:58Z-
dc.date.issued2012-08-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/64938-
dc.description.abstractA private set intersection (PSI) protocol allows players to obtain the intersection of their inputs. While in its unilateral version only the client can obtain the intersection, the mutual PSI protocol enables all players to get the desired result. In this work, we construct a mutual PSI protocol that is significantly more efficient than the state-of-the-art in the computation overhead. To the best of our knowledge, our construction is the first result with linear computational complexity in the semi-honest model. For that, we come up with an efficient data representation technique, called prime representation.-
dc.format.extent13-
dc.language영어-
dc.language.isoENG-
dc.titleMutual private set intersection with linear complexity-
dc.typeArticle-
dc.identifier.doi10.1007/978-3-642-27890-7_18-
dc.identifier.bibliographicCitationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.7115 LNCS, pp 219 - 231-
dc.description.isOpenAccessN-
dc.identifier.scopusid2-s2.0-84863235289-
dc.citation.endPage231-
dc.citation.startPage219-
dc.citation.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.citation.volume7115 LNCS-
dc.type.docTypeConference Paper-
dc.publisher.location미국-
dc.subject.keywordAuthorMutual Private Set Intersection-
dc.subject.keywordAuthorPrime Representation-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Software > School of Computer Science and Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Hyungtae photo

Lee, Hyungtae
소프트웨어대학 (소프트웨어학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE