Blockchain based approach to enhance big data authentication in distributed environment

N. Abdullah, Anne Håkansson, E. Moradian
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引用次数: 54

Abstract

Existing authentication protocols for Big Data system such as Apache Hadoop is based on Kerberos. In the Kerberos protocol, there are numerous security issues that have remained unsolved; replay attacks, DDoS and single point of failure are some examples. These indicate potential security vulnerabilities and Big Data risks in using Hadoop. This paper presents drawbacks of Kerberos implementations and identifies authentication requirements that can enhance the security of Big Data in distributed environments. The enhancement proposed is based on the rising technology of blockchain that overcomes shortcomings of Kerberos.
基于区块链的分布式环境下大数据认证增强方法
现有的大数据系统(如Apache Hadoop)的认证协议都是基于Kerberos的。在Kerberos协议中,有许多安全问题尚未解决;重播攻击、DDoS和单点故障就是一些例子。这些都表明了使用Hadoop的潜在安全漏洞和大数据风险。本文介绍了Kerberos实现的缺点,并确定了可以增强分布式环境中大数据安全性的身份验证需求。提出的增强是基于新兴的区块链技术,克服了Kerberos的缺点。
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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