Protecting location privacy using location semantics
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Privacy preservation in the dissemination of location data
ACM SIGKDD Explorations Newsletter
Transactions on Data Privacy
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Most existing cloaking techniques only focus on achieving location k-anonymity. However, maintaining location k-anonymity alone is not enough to counter query homogeneity attacks. In this paper, we first define the query l-diversity concept in location-based services, and then propose a technique to achieve query l-diversity. The proposed technique is compared with the improved Interval Cloak technique using simulation; and the extensive results indicate that our technique is better in protecting user privacy.