Application analysis of machine learning in cyberspace security research

Wenzhuo Du, Gerun Wang, Xuanbo Ma, Xintian Yu
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Abstract

With the rapid development of society and the continuous change of the times, my country's Internet technology has achieved great development space. Cloud computing, Internet of Things, etc. have formed the current era of big data. At present, there are a lot of network access points, and the networked devices among them will generate a lot of data, so there are higher requirements for the security of the cyberspace, and it is also a golden opportunity. Traditional cyberspace security research is relatively inefficient in data processing, machine learning has strong adaptability, and strong learning capabilities also ensure the security of cyberspace. Under such a social background, it is necessary to give full play to the role of machine learning. After applying machine learning, it can effectively solve the problems existing in cyberspace security research. Based on this, this paper discusses the application of machine learning in cyberspace security research.
机器学习在网络空间安全研究中的应用分析
随着社会的快速发展和时代的不断变化,我国的互联网技术取得了很大的发展空间。云计算、物联网等形成了当前的大数据时代。目前,网络接入点很多,其中联网的设备会产生大量的数据,因此对网络空间的安全性有了更高的要求,这也是一个千载难逢的机会。传统的网络空间安全研究在数据处理上相对低效,机器学习具有较强的适应性,强大的学习能力也保证了网络空间的安全。在这样的社会背景下,充分发挥机器学习的作用是非常必要的。应用机器学习后,可以有效解决网络空间安全研究中存在的问题。在此基础上,本文探讨了机器学习在网络空间安全研究中的应用。
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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