PriSTE: From Location Privacy to Spatiotemporal Event Privacy.

2019 IEEE 35th International Conference on Data Engineering (ICDE)(2019)

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摘要
Location privacy-preserving mechanisms (LPPMs) have been extensively studied for protecting a user's location at each time point or a sequence of locations with different timestamps (i.e., a trajectory). We argue that existing LPPMs are not capable of protecting the sensitive information in user's spatiotemporal activities, such as "visited hospital in the last week" or "regularly commuting between Address 1 and Address 2 every morning and afternoon" (it is easy to infer that Addresses 1 and 2 may be home and office). To address this problem, we define the spatiotemporal event as a new privacy goal, which can be formalized as Boolean expressions between location and time predicates. We show that the spatiotemporal event is a generalization of a single location or a trajectory which is protected by existing LPPMs, while some types of spatiotemporal event may not be protected by the existing LPPMs. Hence, we formally define -spatiotemporal event privacy which is an indistinguishability-based privacy metric. It turns out that, interestingly, such privacy metric is orthogonal to the existing indistinguishability-based location privacy metric such as Geo-indistinguishability. We also discussed the potential solution to achieve both -spatiotemporal event privacy and Geo-indistinguishability.
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关键词
Privacy,Spatiotemporal phenomena,Trajectory,Measurement,Hospitals,Data privacy,Google
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