Location Privacy Protection in Online Query based-on Privacy Region Replacement

Yali Ji, Ruowei Gui, Xiaolin Gui, Dong Liao, Xinyang Lin
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引用次数: 6

Abstract

In order to realize online location query based on privacy in the location-based service (LBS), a location privacy protection method based on privacy region replacement (PRR) was proposed to improve the query response time without reducing the degree of privacy protection in this paper. Firstly, a privacy region was generated according to the density of people and privacy requirements. Secondly, the privacy region was replaced into an anonymous region based on the personnel distribution in the privacy region. And then the coverage degree between the anonymous region and the user query region is calculated. Finally, a new query region was used to carry on the online query. Comparing with other methods such as Casper, Fragment, and ARC, the query response time was reduced at least 17.33% in PRR with the same degree of privacy protection. The results show that the quantity of services was improved effectively using the PRR in online query.
基于隐私区域替换的在线查询位置隐私保护
为了在基于位置服务(LBS)中实现基于隐私的在线位置查询,提出了一种基于隐私区域替换(PRR)的位置隐私保护方法,在不降低隐私保护程度的前提下提高查询响应时间。首先,根据人群密度和隐私需求生成隐私区域;其次,根据隐私区域的人员分布情况,将隐私区域替换为匿名区域;然后计算匿名区域与用户查询区域之间的覆盖度。最后,利用一个新的查询区域进行在线查询。与Casper、Fragment、ARC等其他方法相比,在相同隐私保护程度下,PRR的查询响应时间至少减少了17.33%。结果表明,在在线查询中使用PRR可以有效地提高服务质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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