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Indexed by:Journal Papers

Date of Publication:2015-08-25

Journal:CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

Included Journals:SCIE、EI、Scopus

Volume:27

Issue:12,SI

Page Number:3021-3043

ISSN No.:1532-0626

Key Words:location privacy; query privacy; k-means clustering; hierarchical clustering; continuous location based services

Abstract:In this paper, a combined clustering algorithm namely enhanced clustering cloak (ECC), for protecting location privacy and query privacy is proposed. An iterative K-means clustering method is developed to group the user requests into clusters for providing location safety. Meanwhile, a hierarchical clustering method for preserving the query privacy is used when creating clusters. ECC provides users with desirable spatial and temporal tolerances. It can defend sampling attacks, homogeneity attacks, and query association attacks simultaneously. Simulation results present that the ECC algorithm not only has merits in smaller number of clusters, shorter cloaking time, higher entropy and QoS level but also preserves location privacy and query privacy in continuous location based services. Copyright (c) 2014 John Wiley & Sons, Ltd.