一种使外包数据库可信的查询验证方法

Ying Zhou, Chen Wang
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引用次数: 2

摘要

云计算范例跨管理域移动数据,由各种外包数据库(ODB)服务提供商进行管理。数据所有者需要一种方法来验证从这些ODB服务返回的查询结果的正确性和完整性。这个过程称为查询身份验证。现有ODB服务不向客户提供这种保证。这主要是由于文献中的大多数技术都是昂贵的,而且功能有限。本文建议使用独立的外部观察者对查询结果进行验证。建议的方法要求ODB服务为每个查询结果集返回一个验证对象(VO),与大多数现有方法一样。与现有方法不同,本文提出了一种基于补集的VO构造方法。与现有方法中常见的基于哈希树的VO计算相比,基于补集的VO计算成本低。所提出的方法不需要数据所有者或ODB服务提供者维护复杂的身份验证数据结构,相反,数据状态跟踪和VO验证的工作负载可以分布在一组观察者之间。此外,所提出的VO构造方法能够支持多属性查询。该方法是作为ODB服务的瘦包装器实现的,并支持额外的观察者服务。我们评估了该系统在Amazon EC2中的性能,并检查了其实现可信度的成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Query Verification Method for Making Outsourced Databases Trustworthy
The cloud computing paradigm moves data across administrative domains to be managed by various outsourced database (ODB) service providers. There needs a means for a data owner to verify the correctness and completeness of query results returned from these ODB services. The process is called query authentication. Existing ODB services do not provide such assurance to customers. This is mainly due to that most techniques in literature are expensive and limited in functionality. This paper proposes to use independent external observers for query result verification. The proposed method requires the ODB service to return a verification object (VO) for each query result set, as most existing methods do. Differing to existing methods, we propose a complement set based VO construction method. The cost of computing complement set based VO is low compared to hash tree based ones commonly seen in existing methods. The proposed method does not require the data owner or the ODB service provider to maintain complex authentication data structures, instead, the workload of data state tracking and VO validation can be distributed among a set of observers. Furthermore, the proposed VO construction method is capable of supporting multi-attribute queries. The method is implemented as a thin wrapper of an ODB service with the support of additional observer services. We evaluate the performance of the system in Amazon EC2 and examine its cost of achieving trustworthiness.
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