一种面向不可信第三方匿名服务的位置隐私保护方法
首发时间:2014-07-15
摘要:随着基于位置的服务(Location-Based Service, LBS)被日益关注,位置隐私保护已成为研究的热点。当前的位置隐私保护系统大多依赖可信第三方实现,然而,在当前不安全的网络环境下,第三方匿名服务器的可信度很难保证。因此,本文提出一个结合K-匿名,L-多样性技术的基于不可信第三方的位置隐私保护方法,消除了位置隐私系统对可信第三方的依赖,具有更强的实际应用场景,并设计和实现了原型系统。实验证明,该系统在位置匿名和服务质量方面都有很好的表现。
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The Method of Location Privacy Protection for Anonymous Service Based on an Untrusted Third Party
Abstract:With the development of location-based service(LBS), location privacy protection has become a research hotspot. The majority of existed location privacy protection systems rely on a trusted third party. However, in the current insecure network environment, credibility of third-party servers is difficult to ensure. Therefore, this paper proposes an effective location privacy protection system with an untrusted third party .This system combines K-anonymity technology and L-diversity technology which could eliminate the dependency of a trusted third party, and provides higher practicability. Simulation experiments show that the system is effective in both the anonymity of location and the quality of service.
Keywords: LBS Applications Location Privacy Protection Anonymous Service Untrusted Third
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No.4603105987090140****
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