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Improving Privacy and Security of User Data in Location Based Services

机译:在基于位置的服务中改善用户数据的隐私和安全性

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>Location Based Services (LBS) expose user data to malicious attacks. Approaches, evolved, so far, for preserving privacy and security, suffer from one or more anomalies, and hence the problem of securing LBS data is far from being resolved. In particular, accuracy of results vs. privacy degree, privacy vs. performance, and trust between users are open problems. In this article, we present a novel approach by integration of peer-to-peer (P2P) with the caching technique and dummies from real queries. Our approach increases efficiency, leads to improved performance, and provides solutions to many problems that have existed in the past. In addition, we offer an improved way of managing cache. Simulation demonstrates superiority of our approach over earlier ones dealing with both the ratio of privacy and that of performance.
机译:>基于位置的服务(LBS)将用户数据暴露给恶意攻击。迄今为止,用于保护隐私和安全性的方法已经受到一个或多个异常的困扰,因此保护LBS数据的问题还远远没有得到解决。特别地,结果的准确性与隐私程度,隐私与性能以及用户之间的信任是未解决的问题。在本文中,我们通过将对等(P2P)与缓存技术和真实查询中的假人集成在一起,提出了一种新颖的方法。我们的方法可以提高效率,改善性能,并为过去存在的许多问题提供解决方案。此外,我们提供了一种改进的缓存管理方式。仿真证明了我们的方法比以前的方法在处理隐私比率和性能比率方面更具优势。

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