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AuthorXu, Lei
AuthorJiang, Chunxiao
AuthorWang, Jian
AuthorRen, Yong
AuthorYuan, Jian
AuthorGuizani, Mohsen
Available date2022-11-10T09:47:23Z
Publication Date2015
Publication NameIEEE International Conference on Communications
ResourceScopus
Resource2-s2.0-84953740798
URIhttp://dx.doi.org/10.1109/ICC.2015.7249454
URIhttp://hdl.handle.net/10576/36139
AbstractPrivacy issues arising in the process of collecting, publishing and mining individuals' personal data have attracted much attention in recent years. In this paper, we consider a scenario where a data collector collects data from data providers and then publish the data to a data user. To protect data providers' privacy, the data collector performs anonymization on the data. Anonymization usually causes a decline of data utility on which the data user's profit depends, meanwhile, data providers' would provide more data if anonymity is strongly guaranteed. How to make a trade-off between privacy protection and data utility is an important question for data collector. In this paper we model the interactions among data providers/collector/user as a game, and propose a general approach to find the Nash equilibriums of the game. To elaborate the analysis, we also present a specific game formulation which takes k-anonymity as the anonymization method. Simulation results show that the game theoretical analysis can help the data collector to deal with the privacy-utility trade-off. 2015 IEEE.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Subjectdata anonymization
game theory
Nash equilibrium
privacy preserving
TitleGame theoretic data privacy preservation: Equilibrium and pricing
TypeConference Paper
Pagination7071-7076
Volume Number2015-September
dc.accessType Abstract Only


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