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Practical privacy-preserving spectrum query schemes for database-driven CRNs with multiple service providers

机译:适用于具有多个服务提供商的数据库驱动的CRN的实用的隐私保护频谱查询方案

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The database-driven CRN has emerged as a promising solution for the spectrum scarcity issue. However, it also raises severe privacy concerns. Although there are some existing works on this topic, they are far from practical due to their restrict on particular database structures or extremely heavy computation and communication overhead. To address these issues, in this paper we develop two practical privacy-preserving spectrum query schemes. A basic scheme is first proposed based on private equality test (PET) technique. In order to enhance its efficiency, an advanced scheme is further devised by integrating the Locality Sensitive Hash (LSH). More importantly, both of them are applicable to multi-SP scenarios, which have never been discussed previously.
机译:数据库驱动的CRN已经成为解决频谱短缺问题的有前途的解决方案。但是,这也引起了严重的隐私问题。尽管有一些有关此主题的现有著作,但是由于它们对特定数据库结构的限制或极重的计算和通信开销,因此它们与实际情况相去甚远。为了解决这些问题,在本文中,我们开发了两种实用的隐私保护频谱查询方案。首先提出一种基于私人平等测试(PET)技术的基本方案。为了提高其效率,通过集成位置敏感哈希(LSH)进一步设计了一种高级方案。更重要的是,它们都适用于多SP场景,以前从未讨论过。

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