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A New Privacy-Preserving Scheme for Continuous Query in Location-Based Social Networking Services

机译:基于位置的社交网络服务中用于连续查询的新隐私保护方案

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With continuous queries that are used widely in location based mobile social networking services, how to protect the location privacy effectively for continuous query has been a hot topic for researchers. In this paper, we analyze the existing location privacy protection systems and algorithms for location based services; considering their disadvantages of slow responding time and high anonymization costs, we propose a new enhanced greedy cloaking algorithm which predicts a cloaking area at the initial query to be the cloaking region in the whole query lifetime by the comprehensive computation of privacy monitor, quality monitor, and dynamic adjuster. Privacy monitor and quality monitor charge the privacy protection level and service quality degree respectively; dynamic adjuster can adjust the cycle center point dynamically. We employ cycle as cloaking region form which can effectively alleviate the computation overhead. And we compare it with the earlier algorithm on three aspects. The experimental result shows that the enhanced greedy cloaking algorithm is better than the original greedy algorithm on average responding time or anonymization cost.
机译:随着在基于位置的移动社交网络服务中广泛使用的连续查询,如何有效地保护连续查询的位置隐私已成为研究人员的热门话题。在本文中,我们分析了基于位置服务的现有位置隐私保护系统和算法;考虑到它们响应时间慢和匿名化成本高的缺点,我们提出了一种新的增强型贪婪隐身算法,该算法通过综合计算隐私监控器,质量监控器,将初始查询的隐身区域预测为整个查询生命周期的隐身区域,和动态调节器。隐私监控器和质量监控器分别负责隐私保护等级和服务质量等级;动态调节器可以动态调节循环中心点。我们采用周期作为隐身区域形式,可以有效减轻计算开销。并且我们在三个方面将其与早期算法进行了比较。实验结果表明,改进的贪婪隐蔽算法在平均响应时间或匿名化成本上均优于原始贪婪算法。

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