Abstract
Location-based services facilitate the daily life of the people, nevertheless, they also bring about the problem of privacy preserving. Privacy preserving methods without anonymity server, for example, Coprivacy, attract increasing concerning from researchers for their simple and reliable structure and the avoidance of high cost of communication and computing resulting from the using of cloaking area. The drawbacks of Coprivacy are the high cost of communication and computing and the uncontrollability during query period. A feedback based incremental nearest neighbor query method (FINN) is propose to solve the problem. The user sends feedback to the server according to the query, and the server chooses POIs to send to the user according to the feedback. Theoretical analysis and experimental results show that FINN can improve the performance of the system significantly while ensures user’s anonymous requirements.
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Xie, L., Feng, Z., Ji, C., Zhu, Y. (2019). Adjustable Location Privacy-Preserving Nearest Neighbor Query Method. In: Ni, W., Wang, X., Song, W., Li, Y. (eds) Web Information Systems and Applications. WISA 2019. Lecture Notes in Computer Science(), vol 11817. Springer, Cham. https://doi.org/10.1007/978-3-030-30952-7_46
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DOI: https://doi.org/10.1007/978-3-030-30952-7_46
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