A Privacy Protection Method for Continuous Query Based on Location Services

被引：2

作者：

HU Wenling ^{[1
]}

WANG Yongli ^{[1
]}

ZHANG Gongxuan ^{[1
]}

机构：

[1] Department of Computer Science and Engineering, Nanjing University of Science and Technology

来源：

Wuhan University Journal of Natural Sciences | 2013年 / 18卷 / 05期

基金：

中央高校基本科研业务费专项资金资助;

关键词：

location-based services; privacy protecting; k-means; continuous query;

D O I：

暂无

中图分类号：

TP309 [安全保密];

学科分类号：

081201 ; 0839 ; 1402 ;

摘要：

To solve the problem that the traditional location-based services anonymity model is not applied to the continuous query, quasi real-time cloak algorithm (QR-TCA) has been proposed, and the non-delay cloak model (N-DCM) has been established. After comprehensive analysis of location-based continuous query privacy protection models, a model that can solve the user service delay problem is proposed, which can provide the users with quasi-real time location-based services. The experiment measures the N-DCM model with multiple dimensions, such as service response time and service quality of standard datasets. The experiment results show that the method is suitable for continuous query location privacy protection and can effectively protect the user’s location privacy.

引用

页码：449 / 454

页数：6