大数据管理系统安全措施评估

Ibtissame Kandrouch, C. Saadi, N. Hmina, H. Chaoui
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引用次数: 2

摘要

如今,大数据的使用是一种趋势,随之而来的是,对能够存储和操作这些海量数据的系统的需求增加了。然而,采用这些大数据管理系统对服务消费者的数据安全既有积极的影响,也有消极的影响。本文旨在强调大数据安全问题,以及最近的统计数据,显示了攻击这些系统的漏洞数量,这些漏洞使它们无法安全工作。它允许分析一组统计数据,以阐明大数据安全的重要性。最后提出了一个可以提高Hadoop大数据管理系统安全级别的方案,同时证明了其可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Security Measures Assessment for Big Data Management Systems
There is a trend in the use of big data today, and subsequently, increased requirements for systems able to store and manipulate these huge quantities of data. However, the adoption of these Big Data management systems can have positive as well as negative effects on the data security of service consumers.This paper aims to highlight the Big Data security problems, as well as the recent statistics showing the number of vulnerabilities that attack these systems, which prevent them to work safely. It allows analyzing a set of statistics in order to shed light on the importance of big data security. For finally present a proposal solution that can improve the security level of Hadoop Big Data management system, while justifying its feasibility.
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