文章基本信息

标题：A Fine-Grained Spatial Cloaking With Query Probability Levels for Privacy in LBS
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作者：Albelaihy Abdullah ; Jonathan Cazalas
期刊名称：International Journal of Computer Networks and Applications (IJCNA)
电子版ISSN：2395-0455
出版年度：2015
卷号：2
期号：5
页码：212-221
语种：English
出版社：EverScience Publications
摘要：In the technology of LBS i.e. location based services, location related queries are submitted to the mobile users. These queries are submitted to untrusted server of LBS for obtaining service. However, these queries considerably stimulate and produce privacy issues associated with mobile users. FGcloak has been proposed so as to address this privacy related issue. It has been revealed that the FGcloak is considered as the fine grained spatial cloaking method based on the query probability levels to generate k-anonymity used for the privacy aware mobile users in the location based services. The modified Hilbert Curve is used so as to efficiently guarantee k-anonymity and simultaneously offers bigger cloaking region.