By Topic

Global privacy and transportation mode homogeneity anonymization in location based mobile systems with continuous queries

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Leon Stenneth ; Dept. of Computer Science, University of Illinois at Chicago, USA ; Phillip S. Yu

A major concern for deployment of location-based mobile systems is the ill-usage of mobile client's location data, which may imply sensitive and private personal information. Also, even if the location is exposed willingly by the mobile client the query should not be linked to the mobile client. Still, many location based systems (store finders, transit itinerary systems, and social networks) are created with a different focus and have little concern for end user privacy. We focused on location based mobile systems where the location of the mobile user may be available; however, an adversary should not be able to link a query to a specific mobile user. Two key contributions of this work are the introduction and experimental evaluation of a novel concept called transportation mode homogeneity anonymization that adds another dimension to privacy in mobile location based systems. Also, a novel dynamic layered approach on achieving K-anonymity by separating the local privacy requirement on each snapshot and global privacy requirement across snapshots with different privacy goals is proposed to exploit the local privacy anonymization group as candidates to obtain global anonymization group candidates.

Published in:

Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), 2010 6th International Conference on

Date of Conference:

9-12 Oct. 2010