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When requesting location-based services, users can associate their queries with a purposely blurred location such as a circular or rectangular geographic region instead of their exact position. This strategy makes it possible for privacy protection, but presents problems in query processing. Since the server does not know a user's exact position, it has to retrieve query results for each position...
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...
A continuous k nearest neighbor (cKNN) query is a query that continuously returns a set of k nearest moving objects (mobile hosts) to a given query point. For example, report three nearest moving sensors to a given location continuously. Most existing research efforts focus on centralized solutions. In a mobile peer-to-peer network (M-P2P), a centralized approach incurs expensive communication cost...
We present a new approach for if-anonymity protection in Location-Based Services (LBSs). Specifically, we depersonalize location information by ensuring that each location reported for LBSs is a cloaking area that contains K different footprints-historical locations of different mobile nodes. Therefore, the exact identity and location of the service requestor remain anonymous from LBS service providers...
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