A Privacy-Preserving in Wireless Sensor Networks Using Generalization and Suppression Methods

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Provided by: IJAIR
Topic: Security
Format: PDF
Today's globally networked society places great demand on the collection and sharing of person-specific data for many new uses. Monitoring personal locations with a potentially untrusted server poses privacy threats to the monitored individuals. This paper provides a formal presentation of combining generalization and suppression to achieve k-anonymity. Generalization involves replacing a value with a less specific but semantically consistent value. Suppression involves not releasing a value at all. The Preferred Minimal Generalization Algorithm (MinGen), which is a theoretical algorithm presented herein, combines these techniques to provide k-anonymity protection with minimal distortion.
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