Semantic analysis in location privacy preserving

Xiong, Ping, Zhang, Lefeng and Zhu,Tianqing 2016, Semantic analysis in location privacy preserving, Concurrency and computation, vol. 28, no. 6, pp. 1884-1889, doi: 10.1002/cpe.3508.

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Title Semantic analysis in location privacy preserving
Author(s) Xiong, Ping
Zhang, Lefeng
Zhu,TianqingORCID iD for Zhu,Tianqing
Journal name Concurrency and computation
Volume number 28
Issue number 6
Start page 1884
End page 1889
Total pages 16
Publisher Wiley
Place of publication London, Eng.
Publication date 2016-04-25
ISSN 1532-0626
Summary With the increasing use of location-based services, location privacy has recently started raising serious concerns. Location perturbation and obfuscation are most widely used for location privacy preserving. To protect a user from being identified, a cloaked spatial region that contains other k - 1 nearest neighbors of the user is submitted to the location-based service provider, instead of the accurate position. In this paper, we consider the location-aware applications that services are different among regions. In such scenarios, the semantic distance between users should be considered besides the Euclidean distance for searching the neighbors of a user. We define a novel distance measurement that combines the semantic and the Euclidean distance to address the privacy-preserving issue in the aforementioned applications. We also present an algorithm kNNH to implement our proposed method. Moreover, we conduct performance study experiments on the proposed algorithm. The experimental results further suggest that the proposed distance metric and the algorithm can successfully retain the utility of the location services while preserving users' privacy.
Language eng
DOI 10.1002/cpe.3508
Field of Research 0805 Distributed Computing
0803 Computer Software
080303 Computer System Security
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, Wiley
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Collection: School of Information Technology
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