User self-controllable profile matching for privacy-preserving mobile social networks

Danyang He, Zhenfu Cao*, Xiaolei Dong, Jiachen Shen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

Personal profiles usually contain sensitive information of people, while the emerging requirement of profile matching in mobile social networks may occasionally leak the sensitive information and hence violate people' privacy. In this paper we propose a user self-controllable profile matching protocol in privacy-preserving mobile social networks. By using our protocol, users can customize the matching metrics to involve their own matching preference and to make the matching results more precise. In addition, detailed security analysis demonstrates that our protocol can protect the privacy of both users' profile item names and profile item values during the matching process. Moreover, extensive performance evaluation are conducted to illustrate that our protocol is more efficient than a relevant protocol in terms of computation and communication overhead, especially when the maximum value of profile item is large.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages248-252
Number of pages5
ISBN (Electronic)9781479958320
DOIs
StatePublished - 27 Jan 2014
Externally publishedYes
Event2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014 - Macau, China
Duration: 19 Nov 201421 Nov 2014

Publication series

Name2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014

Conference

Conference2014 IEEE International Conference on Communication Systems, IEEE ICCS 2014
Country/TerritoryChina
CityMacau
Period19/11/1421/11/14

Keywords

  • Mobile social networks
  • Privacy-preserving
  • Profile matching
  • User self-controllable

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