Query l-diversity in Location-Based Services

被引:0
|
作者
Liu, Fuyu [1 ]
Hua, Kien A. [1 ]
Cai, Ying [2 ]
机构
[1] Univ Cent Florida, Sch EECS, Orlando, FL 32816 USA
[2] Iowa State Univ, Dept CS, Ames, IA USA
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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 l-diversity. 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.
引用
收藏
页码:436 / +
页数:2
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