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Measuring query privacy in location-based services
Chen, Xihui; Pang, Jun
2012In Proc. 2nd ACM Conference on Data and Application Security and Privacy
Peer reviewed
 

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Keywords :
location based services; query privacy; anonymity; measurement
Abstract :
[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.
Disciplines :
Computer science
Identifiers :
UNILU:UL-CONFERENCE-2012-062
Author, co-author :
Chen, Xihui ;  SNT
Pang, Jun  ;  FSTC
External co-authors :
yes
Language :
English
Title :
Measuring query privacy in location-based services
Publication date :
2012
Event name :
2nd ACM Conference on Data and Application Security and Privacy
Event place :
San Antonio, United States - Texas
Event date :
02/07/2012 - 02/09/2012
Audience :
International
Main work title :
Proc. 2nd ACM Conference on Data and Application Security and Privacy
ISBN/EAN :
978-1-4503-1091-8
Pages :
49 - 61
Peer reviewed :
Peer reviewed
Commentary :
Proceeding of 2nd ACM Conference on Data and Application Security and Privacy
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since 22 April 2013

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