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首页> 外文期刊>International journal of systems assurance engineering and management >A new Top-k query processing algorithm to guarantee confidentiality of data and user queries on outsourced databases
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A new Top-k query processing algorithm to guarantee confidentiality of data and user queries on outsourced databases

机译：一种新的Top-k查询处理算法，可确保外包数据库中数据和用户查询的机密性

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摘要

With the growth of cloud computing, database outsourcing has attracted a lot of interest. Due to the serious privacy threats in cloud computing, databases need to be encrypted before being outsourced to the cloud. Therefore, various Top-k query processing algorithms have been studied for encrypted databases. However, existing algorithms are either insecure or inefficient. Therefore, in this paper we propose a new Top-k query processing algorithm that guarantees confidentiality of both data and user queries while hiding data access patterns. Our algorithm also allows the query issuer to not participate in the query processing. To achieve a high query processing efficiency, we implement new secure protocols using Yao's garbled circuit and a data packing technique. A performance analysis shows that the proposed algorithm outperforms the existing work in terms of query processing costs.
机译：随着云计算的增长，数据库外包吸引了很多兴趣。由于云计算中严重的隐私威胁，因此在将数据库外包给云之前需要对其进行加密。因此，已经研究了用于加密数据库的各种Top-k查询处理算法。但是，现有算法要么不安全，要么效率低下。因此，在本文中，我们提出了一种新的Top-k查询处理算法，该算法可在隐藏数据访问模式的同时保证数据和用户查询的机密性。我们的算法还允许查询发布者不参与查询处理。为了达到较高的查询处理效率，我们使用Yao的乱码电路和数据打包技术实现了新的安全协议。性能分析表明，所提出的算法在查询处理成本方面优于现有工作。

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