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Enhancing privacy through uniform grid and caching in location-based services

机译:通过统一的网格和缓存基于位置的服务来增强隐私

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With the increasing popularity of location-based services (LBSs), there is a corresponding increase in the potential for location privacy leakage. Existing solutions generally introduce a fully-trusted third party between the users and the location service provider (LSP). However, such an approach offers limited privacy guarantees and incurs high communication overhead. Specifically, once a fully-trusted third party is compromised, user information would likely be exposed. In this paper, we propose a solution designed to enhance location privacy in LBSs. Our scheme is based on the uniform grid, and adopts both order-preserving symmetric encryption (OPSE) andk-anonymity technique. Thus, the anonymizer knows nothing about a user’s real location, and it can only implement simple matching and comparison operations. In our approach, we also employ an entity (hereafter referred to as the converter) to transform the user-defined grid structure into the uniform grid structure. This combined with the caching mechanism, allow us to avoid repeated queries from different users on the same query spatial region and consequently, reduce the overhead of the LBS server. The analysis and simulation results demonstrate that our proposal can effectively preserve a user’s location privacy, with reduced overheads at the anonymizer and the LBS server.
机译:随着基于位置的服务(LBS)的日益普及,位置隐私泄漏的可能性也相应增加。现有的解决方案通常在用户和位置服务提供商(LSP)之间引入完全信任的第三方。但是,这种方法提供了有限的隐私保证,并导致高通信开销。具体而言,一旦完全信任的第三方受到威胁,则可能会暴露用户信息。在本文中,我们提出了一种旨在增强LBS中位置隐私的解决方案。我们的方案基于统一网格,并采用了保留顺序的对称加密(OPSE)和k-匿名技术。因此,匿名器对用户的真实位置一无所知,并且只能实现简单的匹配和比较操作。在我们的方法中,我们还采用一个实体(以下称为转换器)将用户定义的网格结构转换为统一的网格结构。这与缓存机制相结合,使我们避免了在同一查询空间区域上来自不同用户的重复查询,因此减少了LBS服务器的开销。分析和模拟结果表明,我们的建议可以有效地保护用户的位置隐私,并减少匿名器和LBS服务器的开销。

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