论文标题
H-LPS：基于位置的服务中用户位置隐私的混合方法
H-LPS: a hybrid approach for user's location privacy in location-based services
论文作者
论文摘要
提供基于位置的服务（LB）的应用程序通过物联网（IoT）的概念引起了很多关注和重要性。用户通过向第三方服务提供商提供其位置信息来利用LB。但是，位置数据非常敏感，可以揭示用户对对手的私人生活。物联网中的被动和普遍数据收集提出了严重的位置隐私问题。保护基于位置的服务是一个热门研究主题。已经提出了许多匿名化和混淆技术来克服位置隐私问题。在本文中，我们提出了一种混合位置隐私方案（H-LP），这是一种混合方案，主要基于混淆和协作，用于保护用户的位置隐私，同时使用基于位置的服务。混淆自然会降低服务质量，但与匿名化相比提供了更多的隐私。我们提出的计划H-LPS为大多数用户提供了非常高级的隐私，但为大多数用户提供了良好的准确性。将H-LPS的隐私级别和服务准确性与最先进的位置隐私计划进行了比较，这表明H-LP可以是在基于位置的服务中保存用户位置隐私的候选解决方案。
Applications providing location-based services (LBS) have gained much attention and importance with the notion of the internet of things (IoT). Users are utilizing LBS by providing their location information to third-party service providers. However, location data is very sensitive that can reveal user's private life to adversaries. The passive and pervasive data collection in IoT upsurges serious issues of location privacy. Privacy-preserving location-based services are a hot research topic. Many anonymization and obfuscation techniques have been proposed to overcome location privacy issues. In this paper, we have proposed a hybrid location privacy scheme (H-LPS), a hybrid scheme mainly based on obfuscation and collaboration for protecting users' location privacy while using location-based services. Obfuscation naturally degrades the quality of service but provides more privacy as compared to anonymization. Our proposed scheme, H-LPS, provides a very high-level of privacy yet provides good accuracy for most of the users. The privacy level and service accuracy of H-LPS are compared with state-of-the-art location privacy schemes and it is shown that H-LPS could be a candidate solution for preserving user location privacy in location-based services.
