Publication Type

Conference Proceeding Article

Publication Date

4-2013

Abstract

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.

Keywords

Health condition, Lifestyle choices, Location privacy, Personal information, Privacy concerns, Private information retrieval, Shortest path queries

Discipline

Databases and Information Systems | Digital Communications and Networking

Research Areas

Data Management and Analytics

Publication

2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW): 8-12 April 2013, Brisbane, Australia

First Page

136

Last Page

146

ISBN

9781467353038

Identifier

10.1109/ICDEW.2013.6547441

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

City or Country

Piscataway, NJ

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

http://dx.doi.org/10.1109/ICDEW.2013.6547441

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