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Conference Paper: Privacy exposure of online social search

TitlePrivacy exposure of online social search
Authors
Xu, KLi, VOK
KeywordsNash equilibrium
Optimal distributions
Sensitive informations
Social networks
Social search
Issue Date2010
PublisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000308
Citation
The IEEE Conference and Exhibition on Global Telecommunications Conference (GLOBECOM 2010), Miami, FL., 6-10 December 2010. In Proceedings of GLOBECOM 2010, 2010, p. 1-5 How to Cite?
DOI: http://dx.doi.org/10.1109/GLOCOM.2010.5684324
AbstractOnline social search brings forth a new way to harness the Internet for answers. However, the personal and often sensitive information is unwittingly exposed to others when a person looks for an expert via the underlying social network. In this paper, we propose a model in which a node's behavior of looking for an expert is adjusted by his awareness of the potential expertise of his contacts. We derive the optimal distribution of nodes' awareness level that minimizes the system's privacy exposure, and prove that it corresponds to the unique Nash equilibrium. Our analysis shows that the optimal distribution over a posed question is inversely proportional to the square root of the corresponding expertise density. ©2010 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/142823
ISSN
1930-529X
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorXu, Ken_HK
dc.contributor.authorLi, VOKen_HK
dc.date.accessioned2011-10-28T02:56:09Z-
dc.date.available2011-10-28T02:56:09Z-
dc.date.issued2010en_HK
dc.identifier.citationThe IEEE Conference and Exhibition on Global Telecommunications Conference (GLOBECOM 2010), Miami, FL., 6-10 December 2010. In Proceedings of GLOBECOM 2010, 2010, p. 1-5en_HK
dc.identifier.issn1930-529X-
dc.identifier.urihttp://hdl.handle.net/10722/142823-
dc.description.abstractOnline social search brings forth a new way to harness the Internet for answers. However, the personal and often sensitive information is unwittingly exposed to others when a person looks for an expert via the underlying social network. In this paper, we propose a model in which a node's behavior of looking for an expert is adjusted by his awareness of the potential expertise of his contacts. We derive the optimal distribution of nodes' awareness level that minimizes the system's privacy exposure, and prove that it corresponds to the unique Nash equilibrium. Our analysis shows that the optimal distribution over a posed question is inversely proportional to the square root of the corresponding expertise density. ©2010 IEEE.en_HK
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000308-
dc.relation.ispartofProceedings of Globecom. IEEE Conference and Exhibitionen_HK
dc.rights©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectNash equilibrium-
dc.subjectOptimal distributions-
dc.subjectSensitive informations-
dc.subjectSocial networks-
dc.subjectSocial search-
dc.titlePrivacy exposure of online social searchen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailLi, VOK:vli@eee.hku.hken_HK
dc.identifier.authorityLi, VOK=rp00150en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/GLOCOM.2010.5684324en_HK
dc.identifier.scopuseid_2-s2.0-79551631005en_HK
dc.identifier.hkuros196914en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-79551631005&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage1-
dc.identifier.epage5-
dc.description.otherThe IEEE Conference and Exhibition on Global Telecommunications Conference (GLOBECOM 2010), Miami, FL., 6-10 December 2010. In Proceedings of GLOBECOM 2010, 2010, p. 1-5-
dc.identifier.scopusauthoridXu, K=35101233700en_HK
dc.identifier.scopusauthoridLi, VOK=7202621685en_HK
dc.identifier.issnl1930-529X-

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