在外包数据上保护隐私的Ad-Hoc对等连接

IF 2.2 2区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS ACM Transactions on Database Systems Pub Date : 2014-10-07 DOI:10.1145/2629501
HweeHwa Pang, Xuhua Ding
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引用次数: 19

摘要

在IT外包中,用户可能会将数据存储和查询处理功能委托给不完全可信的第三方服务器。这就需要保护数据库的隐私以及用户对数据库的查询。在本文中,我们将解决在这种设置中直接对加密数据运行临时等连接查询的问题。我们的贡献是第一个解决方案,它实现了为连接评估的每对记录的恒定复杂性。在形式化了与数据库和用户查询相关的隐私需求之后,我们将引入一个加密结构,用于跨关系安全地连接记录。该构造使用强大的加密方案保护数据库。此外,执行相等连接后的信息公开保持在最低限度——当且仅当两个输入记录共享公共连接属性值时,它们组合成一个输出记录。对于不属于联接结果的记录没有公开。在此构造的基础上,我们介绍连接算法,通过消除匹配输入关系中的每个记录对的需要来优化连接执行。我们提供了对算法成本的详细分析,并通过对合成和基准工作负载的广泛实验来验证分析。通过这个评估,我们梳理出关于如何配置连接算法以在实践中提供可接受的执行时间的有用见解。
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Privacy-Preserving Ad-Hoc Equi-Join on Outsourced Data
In IT outsourcing, a user may delegate the data storage and query processing functions to a third-party server that is not completely trusted. This gives rise to the need to safeguard the privacy of the database as well as the user queries over it. In this article, we address the problem of running ad hoc equi-join queries directly on encrypted data in such a setting. Our contribution is the first solution that achieves constant complexity per pair of records that are evaluated for the join. After formalizing the privacy requirements pertaining to the database and user queries, we introduce a cryptographic construct for securely joining records across relations. The construct protects the database with a strong encryption scheme. Moreover, information disclosure after executing an equi-join is kept to the minimum—that two input records combine to form an output record if and only if they share common join attribute values. There is no disclosure on records that are not part of the join result. Building on this construct, we then present join algorithms that optimize the join execution by eliminating the need to match every record pair from the input relations. We provide a detailed analysis of the cost of the algorithms and confirm the analysis through extensive experiments with both synthetic and benchmark workloads. Through this evaluation, we tease out useful insights on how to configure the join algorithms to deliver acceptable execution time in practice.
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来源期刊
ACM Transactions on Database Systems
ACM Transactions on Database Systems 工程技术-计算机:软件工程
CiteScore
5.60
自引率
0.00%
发文量
15
审稿时长
>12 weeks
期刊介绍: Heavily used in both academic and corporate R&D settings, ACM Transactions on Database Systems (TODS) is a key publication for computer scientists working in data abstraction, data modeling, and designing data management systems. Topics include storage and retrieval, transaction management, distributed and federated databases, semantics of data, intelligent databases, and operations and algorithms relating to these areas. In this rapidly changing field, TODS provides insights into the thoughts of the best minds in database R&D.
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