RkNN query integrity with influence zone-现代数据工程与实时计算实验室
现代数据工程与实时计算实验室

RkNN query integrity with influence zone


作者

Guohui Li, Changyin Luo, Wei Wei, Jianjun Li

期刊

期刊名称:Elsevier
出版日期:2016
所在页数:214-231

摘要

With the popularity of location-based service (LBS) and the ever-increasing usage of smart phones and tablet devices, the necessity of outsourcing spatial data has grown rapidly over the past few years. 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. Our methods aim to authenticate both monochromatic and bichromatic RkNN queries results. Specifically, our methods can gain efficient performance on verifying bichromatic RkNN query. Furthermore, our methods can be used to authenticate both snapshot and continuous Rk  NN queries. We also present a detailed theoretical analysis of the size of verification objects (VO). Extensive experiments on both real and synthetic datasets demonstrate the efficiency of our proposed authenticating methods.

关键词

Authentication; RkNN queries; Influence zone

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