Title
Query L-Diversity In Location-Based Services
Abstract
Most existing cloaking techniques only focus on achieving location k-anonymity. However, maintaining location k-anonymity alone is not enough to counter query homogeneity attacks. In this paper, we first define the query l-diversity concept in location-based services, and then propose a technique to achieve query ldiversity. The proposed technique is compared with the improved Interval Cloak technique using simulation; and the extensive results indicate that our technique is better in protecting user privacy. © 2009 IEEE.
Publication Date
10-5-2009
Publication Title
Proceedings - IEEE International Conference on Mobile Data Management
Number of Pages
436-442
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/MDM.2009.72
Copyright Status
Unknown
Socpus ID
70349522412 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/70349522412
STARS Citation
Liu, Fyu; Hua, Kien A.; and Cai, Ying, "Query L-Diversity In Location-Based Services" (2009). Scopus Export 2000s. 11571.
https://stars.library.ucf.edu/scopus2000/11571