大数据新兴问题:Hadoop安全和隐私

Karim Abouelmehdi, A. B. Hssane, Hayat Khaloufi, M. Saadi
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引用次数: 12

摘要

随着数据量的不断增长,它也变得越来越脆弱,容易受到恶意攻击。这些攻击会破坏信息系统的机密性、完整性和可用性等基本属性。为了应对这些恶意行为,有必要建立有效的保护机制。在本文中,我们将指出大数据中出现的主要风险和现有的安全机制,我们将重点关注Hadoop安全性及其组件,因为它仍然是管理和处理大数据所需的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big data emerging issues: Hadoop security and privacy
With the growing development of data, it has become increasingly vulnerable and exposed to malicious attacks. These attacks can damage the essential properties such as confidentiality, integrity and availability of information systems. To deal with these malicious intents, it is necessary to develop effective protection mechanisms. In this paper we will indicate the main risks arising in Big Data and existing security mechanisms, we focus on Hadoop security and its components because it remains the required Framework for the management and the processing of big data.
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