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Individuals whose personal location is being monitored by a third party (untrusted server), are vulnerable to privacy threats. Thus, 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, cloaked area determination algorithm and quality-aware algorithm that will help the system to enable and provide high-quality location monitoring services for system users, while preserving personal location privacy. Both algorithms rely on the k-anonymity privacy concept, wherein, a person is indistinguishable among k persons.
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