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Protecting privacy of mobile users of location-based services is a currently interesting research problem. Most protection techniques can be categorized into either those providing location privacy or those guaranteeing k-anonymity. A mobile user (i) has location privacy if, when he makes an LBS request, adversaries cannot tell his location precise enough to cause privacy concerns, and (ii) has k-anonymity...
In this paper we extend the notion of k-anonymity in the context of databases with timestamped information in order to naturally define k-anonymous views of temporal data. We also investigate the problem of obtaining these views. We show that known generalization techniques, despite being applicable under certain conditions, have some limitations, and propose a new generalization algorithm based on...
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