Privacy-Preserving Data Mining on Moving Object Trajectories
2007 (English)In: 2007 International Conference on Mobile Data Management / [ed] Christian Becker and Christian S. Jensen and Jianwen Su and Daniela Nicklas, IEEE conference proceedings, 2007, 60-68 p.Conference paper (Refereed)
The popularity of embedded positioning technologies in mobile devices and the development of mobile communication technology have paved the way for powerful location-based services (LBSs). To make LBSs useful and user–friendly, heavy use is made of context information, including patterns in user location data which are extracted by data mining methods. However, there is a potential conﬂict of interest: the data mining methods want as precise data as possible, while the users want to protect their privacy by not disclosing their exact movements. This paper aims to resolve this conﬂict by proposing a general framework that allows user location data to be anonymized, thus preserving privacy, while still allowing interesting patterns to be discovered. The framework allows users to specify individual desired levels of privacy that the data collection and mining system will then meet. Privacy-preserving methods are proposed for a core data mining task, namely ﬁnding dense spatio–temporal regions. An extensive set of experiments evaluate the methods, comparing them to their non-privacy-preserving equivalents. The experiments show that the framework still allows most patterns to be found, even when privacy is preserved.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2007. 60-68 p.
, IEEE International Conference on Mobile Data Management. Proceedings, ISSN 1551-6245
location privacy, location and trajectory anonymization, spatio-temporal data mining, dense regions
IdentifiersURN: urn:nbn:se:kth:diva-81992DOI: 10.1109/MDM.2007.18ISBN: 1-4244-1240-4OAI: oai:DiVA.org:kth-81992DiVA: diva2:499816
8th International Conference on Mobile Data Management (MDM 2007), Mannheim, Germany, May 7-11, 2007
QC 201202282012-02-132012-02-112012-02-28Bibliographically approved