基于HADOOP系统的新兴数据安全解决方案:漏洞及其对策

Shubham Sinha, Sahil Gupta, Amit Kumar
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引用次数: 2

摘要

Hadoop是一个框架,用于管理和存储已知环境中集群上的结构化或非结构化大数据。但是由于Hadoop中缺乏默认的有效安全工具,数据变得容易受到攻击。由于其灵活性,许多以前没有优先考虑的安全问题出现了。这些问题对我们的数据是危险的,可能导致攻击。用户被迫安装各种外部安全工具来保护自己的数据集群。Hadoop框架的安全性在各个版本中越来越好,但效果甚微。本文的目标是对Hadoop框架进行深入的调查,提供有关Hadoop安全威胁的一些信息,概述其挑战并解决问题。此外,我们承认基于Hadoop安全服务的相关挑战,以刺激进一步的分析。
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Emerging Data Security Solutions in HADOOP based Systems: Vulnerabilities and Their Countermeasures
Hadoop is a framework which manages and stores structured or unstructured big data on clusters in a known environment. But the data gets vulnerable due to the lack of default potent security tools in Hadoop. Many security issues which were not given preference earlier emerge due to its flexibility. These issues are dangerous for our data and could lead to an attack. The users are forced to install various external security tools to protect their data clusters. The security of Hadoop framework is getting better in the versions but it has a very little effect. The goals of this paper are to provide an in-depth survey of Hadoop framework, to provide some information about Hadoop security threats, to outline their challenges and resolve the issues. Further, we acknowledge the challenges associated based on security services of Hadoop to spur the further analysis.
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