Towards Achieving Anonymity in LBS: A Cloud Based Untrusted Middleware

Fizza Abbas, Rasheed Hussain, Junggab Son, Hasoo Eun, Heekuck Oh
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引用次数: 1

Abstract

Technological advancements in mobile technology and cloud computing open the door for another paradigm known as Mobile Cloud Computing (MCC). This integration of cloud computing and mobile technology gives numerous facilities to a mobile user, such as the ubiquitous availability of Location Based Services (LBS). The utilization of these LBS services require the knowledge of a user's location, hence threatens the privacy of a user. In this paper we take advantages of ultra-fast processing and reliability of cloud computing and aim to solve the privacy threat issue faced by a mobile user while getting LBS services. We propose a model that utilizes a cloud based server which helps in making of a cloaking region. We highlight that how our model utilizes an untrusted cloud based server and eliminates the use of a trusted anonymizer while providing LBS services to a user securely and anonymously.
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在LBS中实现匿名:一种基于云的不可信中间件
移动技术和云计算的技术进步为另一种被称为移动云计算(MCC)的范式打开了大门。云计算和移动技术的这种集成为移动用户提供了许多便利,例如无处不在的基于位置的服务(LBS)。利用这些LBS服务需要了解用户的位置,因此威胁到用户的隐私。本文利用云计算的超快速处理和可靠性,旨在解决移动用户在获得LBS服务时面临的隐私威胁问题。我们提出了一个模型,利用基于云的服务器,这有助于制造一个隐形区域。我们强调了我们的模型如何利用一个不受信任的基于云的服务器,并消除了可信匿名器的使用,同时安全匿名地向用户提供LBS服务。
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