Possibilities, Impediments, and Challenges for Network Security in Big Data

IF 0.2 Q4 POLITICAL SCIENCE
A. Dwivedi, O. Vyas
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引用次数: 0

Abstract

With the time, Big Data became the core competitive factor for enterprises to develop and grow. Some enterprises such as, information industrial enterprises will put more focus on the technology or product innovation for solving the challenges of big data, i.e., capture, storage, analysis and application. Enterprises like, manufacturing, banking and other enterprises will also benefit from analysis and manage big data, and be provided more opportunities for management innovation, strategy innovation or marketing innovation. High performance network capacity provides the backbone for high end computing systems. These high end computing systems plays vital role in Big Data. Persistent and Sophisticated targeted network attacks have challenged today's enterprise security teams. By exploring each aspect of high performance network capacity, the major objective of this book chapter is to present fundamental theoretical aspects in analytical way with deep focus on possibilities, impediments and challenges for network security in Big Data.
大数据环境下网络安全的可能性、障碍与挑战
随着时代的发展,大数据已经成为企业发展壮大的核心竞争因素。一些企业,如信息产业企业,将更多地关注解决大数据挑战的技术或产品创新,即捕获、存储、分析和应用。制造业、银行业等企业也将从大数据的分析和管理中受益,为管理创新、战略创新或营销创新提供更多机会。高性能网络容量为高端计算系统提供了骨干。这些高端计算系统在大数据中发挥着至关重要的作用。持续且复杂的目标网络攻击对当今的企业安全团队构成了挑战。通过探索高性能网络容量的各个方面,本章的主要目标是以分析的方式呈现基本理论方面,并深入关注大数据下网络安全的可能性、障碍和挑战。
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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来源期刊
CiteScore
1.80
自引率
40.00%
发文量
20
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