Reference : Measuring query privacy in location-based services
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/208
Measuring query privacy in location-based services
English
Chen, Xihui mailto [SNT]
Pang, Jun mailto [FSTC]
2012
Proc. 2nd ACM Conference on Data and Application Security and Privacy
49 - 61
Yes
International
978-1-4503-1091-8
2nd ACM Conference on Data and Application Security and Privacy
02/07/2012 - 02/09/2012
San Antonio
TX
[en] location based services ; query privacy ; anonymity ; measurement
[en] The popularity of location-based services leads to serious concerns on user privacy. A common mechanism to protect users’ location and query privacy is spatial generalisation. As more user information becomes available with the fast growth of Internet applications, e.g., social networks, attackers have the ability to construct users’ personal profiles. This gives rise to new challenges and reconsideration of the existing privacy metrics, such as k-anonymity. In this paper, we propose new metrics to measure users’ query privacy taking into account user profiles. Furthermore, we design spatial generalisation algorithms to compute regions satisfying users’ privacy requirements expressed in these metrics. By experimental results, our metrics and algorithms are shown to be effective and efficient for practical usage.
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/208
Proceeding of 2nd ACM Conference on Data and Application Security and Privacy

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