Abstract
Data privacy in location-based services involves two aspects. The location of a user is a kind of private data as many sensitive information can be inferred from it given some background knowledge. On the other hand, the POI database is a great asset to the LBS provider as its construction requires many resources and efforts. In this paper, we propose a method of protecting mutual privacy (i.e., the location of the user issuing a query and the POI database of the LBS provider) for location-based query processing. Our approach consists of two steps: data preparation and query processing. Data preparation is conducted by LBS itself and is totally an offline computation, while query processing involves some online computation and multiple rounds of communication between LBS and the user. We implement the query processing by two rounds of oblivious transfer extension (OT-Extension) on two small key sets, resulting an immediate response even on some big POI databases. We also theoretically prove the security and analyze the complexity of our approach. Compared with two state-of-the-art methods, our approach has several orders of magnitude improvement in response time, at the expense of little and acceptable communication cost.
The original version of this chapter was revised: The authors’ affiliations were incorrect. This has been corrected. An erratum to this chapter can be found at 10.1007/978-3-319-32049-6_29
An erratum to this chapter can be found at http://dx.doi.org/10.1007/978-3-319-32049-6_29
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Acknowledgment
This work was partially supported by Natural Science Foundation of China (Grant Nos. 61572336, 61572335, 61532018, 61402313, 61402312, 61303019), and Natural Science Foundation of Jiangsu Province (Grant No. BK20151223).
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Liu, S. et al. (2016). Efficient Query Processing with Mutual Privacy Protection for Location-Based Services. In: Navathe, S., Wu, W., Shekhar, S., Du, X., Wang, S., Xiong, H. (eds) Database Systems for Advanced Applications. DASFAA 2016. Lecture Notes in Computer Science(), vol 9643. Springer, Cham. https://doi.org/10.1007/978-3-319-32049-6_19
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