Strong Location Privacy: A Case Study on Shortest Path Queries [Invited Paper]
The last few years have witnessed an increasing availability of location-based services (LBSs). Although particularly useful, such services raise serious privacy concerns. For example, exposing to a (potentially untrusted) LBS the client's position may reveal personal information, such as socia...
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2013
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| Online Access: | https://ink.library.smu.edu.sg/sis_research/3168 https://ink.library.smu.edu.sg/context/sis_research/article/4169/viewcontent/P_ID_53060_MODA13_InvitedPaper.pdf |
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| Institution: | Singapore Management University |
| Language: | English |
| Summary: | The last few years have witnessed an increasing availability of location-based services (LBSs). Although particularly useful, such services raise serious privacy concerns. For example, exposing to a (potentially untrusted) LBS the client's position may reveal personal information, such as social habits, health condition, shopping preferences, lifestyle choices, etc. There is a large body of work on protecting the location privacy of the clients. In this paper, we focus on shortest path queries, describe a framework based on private information retrieval (PIR), and conclude with open questions about the practicality of PIR and other location privacy approaches. |
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