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Security Analytics: Big Data Analytics for cybersecurity: A review of trends, techniques and tools

机译:安全分析:网络安全的大数据分析:趋势,技术和工具综述

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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.
机译:互联网的快速增长带来了网络攻击类型和频率的指数增加。许多知名的网络安全解决方案就是解决这些攻击。然而,通过计算机网络的大数据的产生正在迅速使这些传统解决方案过时。为了满足这个问题,企业研究现在专注于安全分析,即大数据分析技术对网络安全的应用。分析可以协助网络管理者,特别是在监控和监视实时网络流和恶意和可疑(外围)模式的实时检测。设想这种行为来包括和增强所有传统的安全技术。本文对安全分析艺术的国家进行了全面调查,即其描述,技术,趋势和工具。因此,它的目的是在不久的将来将分析将分析作为无与伦比的网络安全解决方案的读者说服读者。

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