Title
Protecting User Privacy Better With Query L-Diversity
Keywords
Cloaking; Location k-anonymity; Location-based services; Privacy protection; Query processing
Abstract
This paper examines major privacy concerns in location-based services. Most user privacy techniques are based on cloaking, which achieves location k-anonymity. The key is to reduce location resolution by ensuring that each cloaking area reported to a service provider contains at least k mobile users. However, maintaining location k-anonymity alone is inadequate when the majority of the k mobile users are interested in the same query subject. In this paper, the authors address this problem by defining a novel concept called query l-diversity, which requires diversified queries submitted from the k users. The authors propose two techniques: Expand Cloak and Hilbert Cloak to achieve query l-diversity. To show the effectiveness of the proposed techniques, they compare the improved Interval Cloak technique through extensive simulation studies. The results show that these techniques better protect user privacy. Copyright © 2010. IGI Global.
Publication Date
1-1-2010
Publication Title
International Journal of Information Security and Privacy
Volume
4
Issue
2
Number of Pages
1-18
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.4018/jisp.2010040101
Copyright Status
Unknown
Socpus ID
79957519799 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/79957519799
STARS Citation
Liu, Fuyu and Hua, Kien A., "Protecting User Privacy Better With Query L-Diversity" (2010). Scopus Export 2010-2014. 1369.
https://stars.library.ucf.edu/scopus2010/1369