网络安全中的大数据分析技术综述

Neha Srivastava, Umesh Chandra Jaiswal
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引用次数: 8

摘要

随着新的网络威胁的不断涌现,如何建立一个安全的、更安全的社会环境来考虑和管理海量的数据,“网络安全”成为研究者们研究的热点。大数据来源于银行、工业、医院、社交媒体、金融、IT等行业。在处理如此庞大的数据时,也引入了各种挑战,如数据生命周期、安全性、隐私、数据处理、可扩展性和数据可视化。大数据分析类似于对以zb为单位的大量数据的分析和挖掘。因此,通过适当的处理和实现,我们可以在不同的级别上使用它。
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 Analytics Technique in Cyber Security: A Review
As the new cyber threats are emerging, "CYBER SECURITY" becomes a torrid research topic among the researchers to develop a secure and safer social environment where a huge amount of data comes into consideration and management. Big data comes from various sources like Banking, Industries, Hospitals, Social media, Finance and IT sectors etc. In handling this huge amount of data various challenges are also introduced like data life cycle, security, privacy, data processing, scalability and data visualization. Big data analytics resembles the analysis and mining of large amount of data represented in zettabytes. Thus, by proper handling and implementation we can use it at various levels.
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