Verifying spatial queries using Voronoi neighbors

Ling Hu, Wei-Shinn Ku, S. Bakiras, C. Shahabi
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引用次数: 32

Abstract

With the popularity of location-based services and the abundant usage of smart phones and GPS enabled devices, the necessity of outsourcing spatial data has grown rapidly over the past few years. Nevertheless, in the database outsourcing paradigm, the authentication of the query results at the client remains a challenging problem. In this paper, we focus on the Outsourced Spatial Database (OSDB) model and propose an efficient scheme, called VN-Auth, that allows a client to verify the correctness and completeness of the result set. Our approach can handle both k nearest neighbor (kNN) and range queries, and is based on neighborhood information derived by the Voronoi diagram of the underlying spatial dataset. Specifically, upon receiving a query result, the client can verify its integrity by examining the signatures and exploring the neighborhood of every object in the result set. Compared to the current state-of-the-art approaches (i.e., methods based on Merkle hash trees), VN-Auth produces significantly smaller verification objects (VO) and is more computationally efficient, especially for queries with low selectivity.
使用Voronoi邻居验证空间查询
随着基于位置的服务的普及以及智能手机和GPS设备的大量使用,外包空间数据的必要性在过去几年中迅速增长。然而,在数据库外包范例中,客户端查询结果的身份验证仍然是一个具有挑战性的问题。在本文中,我们将重点放在外包空间数据库(OSDB)模型上,并提出了一种称为VN-Auth的有效方案,该方案允许客户端验证结果集的正确性和完整性。我们的方法可以处理k近邻(kNN)和范围查询,并且基于底层空间数据集的Voronoi图派生的邻域信息。具体来说,在接收到查询结果后,客户机可以通过检查签名和探索结果集中每个对象的邻域来验证其完整性。与当前最先进的方法(即基于Merkle哈希树的方法)相比,VN-Auth产生更小的验证对象(VO),并且计算效率更高,特别是对于低选择性的查询。
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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