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A Novel Secure Scheme for Supporting Complex SQL Queries over Encrypted Databases in Cloud Computing

机译:一种用于支持Cloud Computing中加密数据库的复杂SQL查询的新颖安全方案

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摘要

With the advance of database-as-a-service (DaaS) and cloud computing, increasingly more data owners are motivated to outsource their data to cloud database for great convenience and economic savings. Many encryption schemes have been proposed to process SQL queries over encrypted data in the database. In order to obtain the desired data, the SQL queries contain some statements to describe the requirement, e.g., arithmetic and comparison operators (+, -, ×, , and =). However, to support different operators (+, -, ×, , and =) in SQL queries over encrypted data, multiple encryption schemes need to be combined and adjusted to work together. Moreover, repeated encryptions will reduce the efficiency of execution. This paper presents a practical and secure homomorphic order-preserving encryption (FHOPE) scheme, which allows cloud server to perform complex SQL queries that contain different operators (such as addition, multiplication, order comparison, and equality checks) over encrypted data without repeated encryption. These operators are data interoperable, so they can be combined to formulate complex SQL queries. We conduct security analysis and efficiency evaluation of the proposed scheme FHOPE. The experiment results show that, compared with the existing approaches, the FHOPE scheme incurs less overhead on computation and communication. It is suitable for large batch complex SQL queries over encrypted data in cloud environment.
机译:通过数据库 - AS-Service(DAAS)和云计算的进展,越来越多的数据所有者被激励将其数据外包给云数据库,以便提供方便和经济储蓄。已经提出了许多加密方案来处理数据库中的加密数据上的SQL查询。为了获得所需的数据,SQL查询包含一些语句以描述要求,例如算术和比较运算符(+, - ,×,=)。但是,在SQL查询的SQL查询中支持不同的运算符(+, - ,×,=),需要组合和调整多种加密方案以一起工作。此外,重复的加密将降低执行效率。本文介绍了一种实用且安全的同性全定期保留加密(FHOPE)方案,允许云服务器执行包含不同运算符的复杂SQL查询(例如,在没有重复加密的情况下通过加密数据进行加密数据(例如添加,乘法,订单比较和相等检查) 。这些运算符是可互操作的数据,因此可以组合它们以制定复杂的SQL查询。我们对拟议计划FHOPE进行安全分析和效率评估。实验结果表明,与现有方法相比,FHOPE方案在计算和通信时突出了更少的开销。它适用于云环境中加密数据的大型批量复杂SQL。

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