机器学习在校园安全中的应用研究

Application Research of Machine Learning in Campus Security

近年来,网络安全形势的日益严峻,校园网络安全建设变得越来越重要。由于之前校园网络安全建设没有得到足够重视,造成校园网络安全在防护功能及内容上存在缺失。通过机器学习的有效应用,可有效增强校园安全防护能力,其在安全入侵检测、垃圾邮件检测以及恶意域名检测等安全防护工作中发挥着至关重要的作用。为此,本文便对机器学习在校园安全中的相关应用进行探讨。

In recent years,the network security situation has become increasingly severe,and campus network security construction has become more and more important.Because the previous campus network security construction has not received enough attention,the campus network security is lacking in the protection function and content.Through the effective application of machine learning,campus security protection can be effectively enhanced,which plays a vital role in security protection such as security intrusion detection,spam detection and malicious domain name detection.To this end,this article explores the related applications of machine learning in campus security.