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- W782025088 abstract "Privacy protection has become one of the important issues for location-based services (LBS) nowadays. In order to meet the requirements of humanization, security and quick response, this paper proposes an improved personalized k-anonymous location privacy protection algorithm with fake position generation mechanism. Compared to the normal personalized k-anonymity algorithm, our improved algorithm has higher success rate of anonymity. By generating fake queries for the source queries that expire, our algorithm guarantees that no source query will be dropped, namely all the source queries can get anonymized. The experimental results show that the algorithm proposed by this paper is able to achieve better performance in terms of success rate of anonymity." @default.
- W782025088 created "2016-06-24" @default.
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- W782025088 date "2015-01-01" @default.
- W782025088 modified "2023-09-23" @default.
- W782025088 title "A Personalized k-Anonymity with Fake Position Generation for Location Privacy Protection" @default.
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- W782025088 doi "https://doi.org/10.1007/978-3-662-46826-5_4" @default.
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