International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)
166 Multi-Precision Location Privacy for Smart Objects in the Internet of Things
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Smart objects cooperate and build k-anonymity groups to enhance location privacy in the Internet of Things environment, but the spatial cloaking approach is vulnerable to multiprecision continuous attack. Our main contribution is to propose a location query approach based on an anonymity tree supporting muti-precision query, in which an improved trilateration method is used to identify objects' relative location on physical layer, an anonymity tree is maintained for topology durability and query efficiency on network layer, finally on the application layer a smart object generates a new k-group according to an anonymity derived from a querier's identity, and returns the corresponding cloaked region. Tree topology and group status cache limits group initialization and member status query to a partial tree thereby network bandwidth and time overhead are greatly reduced. The simulations show that time overhead of the tree-based approach is comparable to the native spatial approach while the ability of resisting multiprecision continuous attack of the tree-based approach is much better.