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- W2953940317 abstract "Various mobile devices facilitate the users’ life, but the issues are brought into privacy focus by the individuals. This paper aims at the protection of intimate relationships among users. We consider the intimacy of user relationships based on similar sub-trajectories between the users. Then, we propose a (k_{mn})-anonymity protection model. We generalize from two aspects: location and time. The first is location generalization. The range that user pass within the time that the location point stays is the generalization region, and the corresponding location point in the region’s trajectory is represented by the generalization region. When the location generalization is not enough to satisfy the (k_{mn})-anonymity, then we use time generalization. Finally, the performance of our algorithm is evaluated by the experiment and the validity of our algorithm is verified." @default.
- W2953940317 created "2019-07-12" @default.
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- W2953940317 date "2019-06-14" @default.
- W2953940317 modified "2023-09-25" @default.
- W2953940317 title "User Relationship Privacy Protection on Trajectory Data" @default.
- W2953940317 cites W2019199245 @default.
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- W2953940317 doi "https://doi.org/10.1007/978-981-13-6508-9_126" @default.
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