Privacy-Aware RNN Query Processing on Location-Based Services

Yang Du
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引用次数: 9

Abstract

This paper addresses how to answer the reversed nearest neighbor (RNN) queries in the location-based services when the privacy of users needs to be protected. We assume that the users' exact locations have been blurred into spatial regions based on user-specified privacy requirements. Inspired by the concept of Voronoi cell of point data, we introduce the concept of Voronoi cell for regions (VCR) and propose the framework to answer the privacy-ware RNN queries based on computing the VCR. We also propose the techniques to compute the VCR under L1 metric efficiently.
基于位置服务的隐私感知RNN查询处理
本文研究了在基于位置的服务中,在需要保护用户隐私的情况下如何回答反向最近邻(RNN)查询。我们假设用户的确切位置已经模糊到基于用户指定的隐私要求的空间区域。受点数据Voronoi cell概念的启发,我们引入了区域Voronoi cell (VCR)的概念,并提出了基于计算VCR来回答隐私软件RNN查询的框架。我们还提出了在L1度量下有效计算VCR的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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