文章基本信息

标题：URALP: Unreachable Region Aware Location Privacy against Maximum Movement Boundary Attack
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作者：Nha Nguyen ; Seungchul Han ; Minho Shin 等
期刊名称：International Journal of Distributed Sensor Networks
印刷版ISSN：1550-1329
电子版ISSN：1550-1477
出版年度：2015
卷号：2015
DOI：10.1155/2015/246216
出版社：Hindawi Publishing Corporation
摘要：As location-based services have become popular, thereby exposed user locations raised serious privacy concerns. A typical measure for location privacy is to report blurred locations and ensure that other users coexist in the reported region. However, additional knowledge about the user’s maximum speed and the territorial information in user’s vicinity can allow for the adversary to effectively compromise the user’s location privacy. In this paper, we present an anonymization algorithm that effectively counters such attacks while achieving k-anonymity requirements as well as minimum acceptable cloaked region size. We evaluate our anonymization scheme using state-of-the-art simulators for both vehicular movements and pedestrian movements. The experimental results demonstrate the effectiveness and efficiency of our proposed algorithm.