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Monitoring personal locations with a potentially untrusted server poses privacy threats to the monitored individuals. To this end, the authors propose a privacy-preserving location monitoring system for wireless sensor networks. In their system, they design two in-network location anonymization algorithms, namely, resource- and quality-aware algorithms that aim to enable the system to provide high quality location monitoring services for system users, while preserving personal location privacy. Both algorithms rely on the well established k-anonymity privacy concept, that is, a person is indistinguishable among k persons, to enable trusted sensor nodes to provide the aggregate location information of monitored persons for their system.
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