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Privacy Preserving for Location-Based Services Using Location Transformation

机译:使用位置转换的基于位置的服务保留隐私

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With the increasing popularity of mobile communication devices loaded with positioning capabilities (e.g.,GPS), there is growing demand for enjoying location-based services (LBSs). An important problem in LBSs is the disclosure of a user’s real location while interacting with the location service provider (LSP). To address this issue, existing solutions generally introduce a trusted Anonymizer between the users and the LSP. But the introduction of an Anonymizer actually transfers the security risks from the LSP to the Anonymizer. Once the Anonymizer is compromised, it may put the user information in jeopardy. In this paper, we propose an enhanced location privacy preserving (ELPP) scheme for the LBS environment. Our scheme employs an entity, termed Function Generator, to distribute the spatial transformation parameters periodically, with which the users and the LSP can performs the mutual transformation between a real location and a pseudo location. Without the transforming parameters, the Anonymizer cannot have any knowledge about a user’s real location. The main merits of our scheme include (1) no fully trusted entities are required; (2) each user can obtain accurate POIs, while preserving location privacy.
机译:随着移动通信设备的越来越越来越多,负载定位能力(例如,GPS),对享受基于位置的服务(LBSS)的需求不断增长。 LBSS中的一个重要问题是用户真实位置的公开内容,同时与位置服务提供商(LSP)进行交互。为解决此问题,现有解决方案通常在用户和LSP之间引入可信的匿名器。但是匿名器的引入实际上将LSP从LSP传输到匿名izer。一旦匿名器遭到泄露,它可能会将用户信息放在危险中。在本文中,我们为LBS环境提出了增强的位置隐私保留(ELPP)方案。我们的方案采用实体,被称为函数发生器,以定期分发空间转换参数,用户和LSP可以在实际位置和伪位置之间执行相互转换。如果没有转换参数,匿名器就无法对用户的实际位置有任何知识。我们计划的主要优点包括(1)不需要完全信任的实体; (2)每个用户可以获得准确的POI,同时保留位置隐私。

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