Towards Virtual Private NoSQL datastores

Pietro Colombo, E. Ferrari
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引用次数: 19

Abstract

Many modern applications use context related information to provide highly personalized services, and use NoSQL databases for data management, as these systems show outstanding performance and support high volumes of data. However, NoSQL databases integrate poor data protection features with basic coarse grained access control and no support for context aware policies. Therefore, we believe that a general approach is required to enhance NoSQL datastores with fine grained context aware access control. In this paper, we start to fill this void by targeting MongoDB, a very popular datastore. The contribution is twofold. We enhance MongoDB's access control model with advanced features and we define an enforcement monitor for the proposed enhanced model, which can be straightforwardly used in any MongoDB deployment. Technological limitations of MongoDB do not allow implementing the same efficient enforcement mechanism for all query types. As a consequence, experimental results show an enforcement overhead that is significant for aggregate queries, which contrasts with a low overhead measured for find and map-reduce queries.
迈向虚拟私有NoSQL数据存储
许多现代应用程序使用上下文相关信息来提供高度个性化的服务,并使用NoSQL数据库进行数据管理,因为这些系统显示出出色的性能并支持大量数据。然而,NoSQL数据库集成了较差的数据保护特性和基本的粗粒度访问控制,并且不支持上下文感知策略。因此,我们认为需要一种通用的方法来增强具有细粒度上下文感知访问控制的NoSQL数据存储。在本文中,我们将开始以MongoDB(一种非常流行的数据存储)为目标来填补这一空白。这种贡献是双重的。我们用高级功能增强了MongoDB的访问控制模型,并为提议的增强模型定义了一个强制监视器,它可以直接用于任何MongoDB部署。MongoDB的技术限制不允许对所有查询类型实现相同的有效执行机制。因此,实验结果表明,与find和map-reduce查询的低开销相比,聚合查询的执行开销非常大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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