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Authentication of Reverse k Nearest Neighbor Query

机译:反向K最近邻查询的身份验证

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摘要

In outsourced spatial databases, the LBS provides query services to the clients on behalf of the data owner. However, the LBS provider is not always trustworthy and it may send incomplete or incorrect query results to the clients. Therefore, ensuring spatial query integrity is critical. In this paper, we propose efficient RkNN query verification techniques which utilize the influence zone to check the integrity of query results. The methods in this work aim to verify both monochromatic and bichromatic RkNN queries results. Specifically, our methods can gain efficient performance on verifying bichromatic RkNN query results. Extensive experiments on both real and synthetic datasets demonstrate the efficiency of our proposed authenticating methods.
机译:在外包空间数据库中,LBS代表数据所有者向客户提供查询服务。但是,LBS提供商并不总是值得信赖的,并且它可能向客户端发送不完整或错误的查询结果。因此,确保空间查询完整性至关重要。在本文中,我们提出了利用影响区的高效RKNN查询验证技术来检查查询结果的完整性。该工作中的方法旨在验证单色和双色RKNN查询结果。具体而言,我们的方法可以在验证Bichromatic RKNN查询结果时获得有效的性能。关于实际和合成数据集的广泛实验证明了我们提出的验证方法的效率。

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