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The authors propose an isolation-protection location auditing system for Wireless Sensor Networks. Auditing personal locations with entrusted server poses isolation threats to the monitored individuals. They use two network location anonymization algorithms, namely, resource- and quality-aware algorithms that aim to enable the system to provide high quality location auditing services for system users, while protection personal location isolation. Both algorithms depend on established k-anonymity isolation concept, that is, a person is similar persons, to enable sensor nodes to provide the aggregate location information of monitored persons for the system.
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