安全分析:网络安全的大数据分析:趋势、技术和工具综述

Tariq Mahmood, U. Afzal
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引用次数: 145

摘要

随着互联网的快速发展,网络攻击的类型和频率呈指数级增长。许多知名的网络安全解决方案都可以应对这些攻击。然而,通过计算机网络产生的大数据正在迅速使这些传统解决方案过时。为了解决这个问题,企业研究现在集中在安全分析上,即大数据分析技术在网络安全中的应用。分析可以帮助网络管理人员,特别是在实时网络流的监控和实时检测恶意和可疑(外围)模式方面。这种行为被设想为包含并增强所有传统的安全技术。本文对安全分析技术的现状进行了全面的调查,即,它的描述、技术、趋势和工具。因此,它的目的是让读者相信,在不久的将来,分析将成为一种无与伦比的网络安全解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Security Analytics: Big Data Analytics for cybersecurity: A review of trends, techniques and tools
The rapid growth of the Internet has brought with it an exponential increase in the type and frequency of cyber attacks. Many well-known cybersecurity solutions are in place to counteract these attacks. However, the generation of Big Data over computer networks is rapidly rendering these traditional solutions obsolete. To cater for this problem, corporate research is now focusing on Security Analytics, i.e., the application of Big Data Analytics techniques to cybersecurity. Analytics can assist network managers particularly in the monitoring and surveillance of real-time network streams and real-time detection of both malicious and suspicious (outlying) patterns. Such a behavior is envisioned to encompass and enhance all traditional security techniques. This paper presents a comprehensive survey on the state of the art of Security Analytics, i.e., its description, technology, trends, and tools. It hence aims to convince the reader of the imminent application of analytics as an unparalleled cybersecurity solution in the near future.
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