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Conference Paper: Algorithm to trade off between utility and privacy cost of online social search

TitleAlgorithm to trade off between utility and privacy cost of online social search
Authors
KeywordsOnline Social Search
Privacy cost
Trade-off
Utility
Issue Date2016
PublisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000104
Citation
The 2016 IEEE International Conference on Communications (ICC 2016), Kuala Lumpur, Malaysia, 22-27 May 2016. In Conference Proceedings, 2016 How to Cite?
AbstractOnline social search such as Quora and Zhihu brings new ways to obtain answers to questions in social networks. However, personal and other sensitive information may be exposed to others when the question spreads via the social network. People obtain utility when they obtain answers to their questions but may suffer privacy cost when their personal information is known by others. Researchers are seeking methods and tools to help users get utility and protect their privacy at the same time. In this paper, we study this problem by proposing a framework to quantitatively evaluate the utility and privacy cost in online social search. Besides, we design an algorithm under our framework to help users trade off their utility and privacy cost. Simulations are performed to illustrate the concepts in our framework and demonstrate the advantages of our algorithm. © 2016 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/232297
ISBN
ISSN

 

DC FieldValueLanguage
dc.contributor.authorLi, Y-
dc.contributor.authorLu, Z-
dc.contributor.authorLi, VOK-
dc.date.accessioned2016-09-20T05:29:02Z-
dc.date.available2016-09-20T05:29:02Z-
dc.date.issued2016-
dc.identifier.citationThe 2016 IEEE International Conference on Communications (ICC 2016), Kuala Lumpur, Malaysia, 22-27 May 2016. In Conference Proceedings, 2016-
dc.identifier.isbn978-147996664-6-
dc.identifier.issn1550-3607-
dc.identifier.urihttp://hdl.handle.net/10722/232297-
dc.description.abstractOnline social search such as Quora and Zhihu brings new ways to obtain answers to questions in social networks. However, personal and other sensitive information may be exposed to others when the question spreads via the social network. People obtain utility when they obtain answers to their questions but may suffer privacy cost when their personal information is known by others. Researchers are seeking methods and tools to help users get utility and protect their privacy at the same time. In this paper, we study this problem by proposing a framework to quantitatively evaluate the utility and privacy cost in online social search. Besides, we design an algorithm under our framework to help users trade off their utility and privacy cost. Simulations are performed to illustrate the concepts in our framework and demonstrate the advantages of our algorithm. © 2016 IEEE.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000104-
dc.relation.ispartofIEEE International Conference on Communications Proceedings-
dc.rightsIEEE International Conference on Communications Proceedings. Copyright © IEEE.-
dc.rights©2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectOnline Social Search-
dc.subjectPrivacy cost-
dc.subjectTrade-off-
dc.subjectUtility-
dc.titleAlgorithm to trade off between utility and privacy cost of online social search-
dc.typeConference_Paper-
dc.identifier.emailLi, VOK: vli@eee.hku.hk-
dc.identifier.authorityLi, VOK=rp00150-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICC.2016.7511604-
dc.identifier.scopuseid_2-s2.0-84981350375-
dc.identifier.hkuros265243-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 161003-

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