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A Query-Aware Location Privacy Protection Approach in LBS for Road Networks

机译:LBS中用于路网的查询感知位置隐私保护方法

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摘要

Mobile users often request services from Location Based Service (LBS) provider when traveling along roads. In order to acquire better service, they have to provide their exact location information, which may result in leaking their location privacy. Current location privacy preservation methods for road networks usually based on star expansion model, which may make anonymity segment set overlapped each other. To address this issue, a query-aware location anonymity approach is proposed, and highlighted itself in three aspects: (1) the model meets the location K-anonymity and road segment l-anonymity, and the reciprocal anonymity segment set is shared among all mobile users located in the segment set. (2) The anonymity segment set is compacted which can improve the query efficiency in LBS. (3) Different optimization levels can be provided considering the tradeoff between privacy preservation and query processing performance. At last, the experiment results verify the effectiveness and security of the anonymity segment sets.
机译:沿道路旅行时,移动用户通常会向基于位置的服务(LBS)提供商请求服务。为了获得更好的服务,他们必须提供准确的位置信息,这可能会导致其位置隐私泄露。当前道路网络的位置隐私保护方法通常基于星扩展模型,这可能会使匿名段集相互重叠。为了解决这个问题,提出了一种查询感知的位置匿名方法,并在三个方面进行了重点介绍:(1)该模型满足位置K-匿名性和道路路段l-匿名性,并且相互之间共享相互的匿名性段集位于细分集中的移动用户。 (2)匿名段集被压缩,可以提高LBS中的查询效率。 (3)考虑隐私保护和查询处理性能之间的折衷,可以提供不同的优化级别。最后,实验结果验证了匿名段集的有效性和安全性。

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