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Continuous Skyline Queries with Integrity Assurance in Outsourced Spatial Databases

机译:外包空间数据库中具有完整性保证的连续天际线查询

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Integrity assurance is an important problem for query processing in outsourced spatial databases, where the location-based service (LBS) provides query services to the clients on behalf of the data owner. If the LBS server is not trustworthy, it may return incorrect or incomplete query results intentionally or unintentionally. Therefore, to ensure the query integrity, the data owner needs to build additional authenticated data structures so that the clients can authenticate the soundness and completeness of query results. In this paper, we study the integrity assurance problem for continuous location-based skyline queries. We propose three novel techniques based on MR-Sky-tree, i.e., using valid scope, visible region, and incremental VO to reduce the computation and communication cost. Experimental results show that our proposed techniques achieve shorter computation time and lower communication cost than the existing approach.
机译:完整性保证是外包空间数据库中查询处理的重要问题,在该空间数据库中,基于位置的服务(LBS)代表数据所有者向客户端提供查询服务。如果LBS服务器不可信,则它可能有意或无意返回错误或不完整的查询结果。因此,为了确保查询的完整性,数据所有者需要构建其他经过身份验证的数据结构,以便客户端可以对查询结果的健全性和完整性进行身份验证。在本文中,我们研究了连续的基于位置的天际线查询的完整性保证问题。我们提出了三种基于MR-Sky-tree的新颖技术,即使用有效范围,可见区域和增量VO来减少计算和通信成本。实验结果表明,与现有方法相比,本文提出的技术具有更短的计算时间和更低的通信成本。

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