选定NoSQL系统的标准安全特性分析

Wilhelm Zugaj, A. Beichler
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引用次数: 9

摘要

NoSQL解决方案最近获得了极大的关注,因为它们解决了传统数据库管理系统的一些低效率问题。NoSQL数据库提供了高性能的分布式架构、灵活性和水平扩展等特性。尽管有这些优点,但是有大量可用的NoSQL系统,它们彼此之间差别很大。安全特性缺乏标准化的结果导致安全性方面的成熟度存在问题。因此,迫切需要的是对NoSQL系统中最常见的标准数据库安全特性实现的可用性和成熟度进行系统的实验室研究,从而绘制出NoSQL安全图。本文总结了我们的研究项目的第一部分,试图勾勒出这样一个地图。它根据标准数据库安全领域的文献综述,记录了要研究的标准安全特性的定义。在选择了OrientDB、Redis、Cassandra和MongoDB作为常用NoSQL系统的初始代表后,对这四种系统的标准数据库安全特性进行了系统的研究。所有的发现都汇总在表格中,以便快速方便地进行比较。我们的结论是,所调查的系统需要更好的默认配置,并且应该在默认情况下启用它们的安全特性。最后,我们对研究NoSQL系统安全映射的下一步工作进行了展望。
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Analysis of Standard Security Features for Selected NoSQL Systems
NoSQL solutions have recently been gaining significant attention because they address some of the inefficiencies of traditional database management systems. NoSQL databases offer features such as performant distributed architecture, flexibility and horizontal scaling. Despite these advantages, there is a vast quantity of NoSQL systems available, which differ greatly from each other. The resulting lack of standardization of security features leads to a questionable maturity in terms of security. What is therefore much needed is a systematic lab research of the availability and maturity of the implementation of the most common standard database security features in NoSQL systems, resulting in a NoSQL security map. This paper summarizes the first part of our research project trying to outline such a map. It documents the definition of the standard security features to be investigated based on a literature review in the area of standard database security. After selection of OrientDB, Redis, Cassandra and MongoDB as initial representatives of commonly used NoSQL systems, a description of systematic investigation of standard database security features for each of these four systems is given. All findings are summarized in tables for quick and easy comparison. We conclude that systems investigated need better default configurations and should enable their security features per default. Finally, we provide an outlook to the next steps of researching a security map for NoSQL systems.
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