基于机器学习的信息安全技术研究  

Research on information security technology based on machine learning

作　　者：伍星宇 裴旭斌[1] 陈泽堃 Wu Xingyu;Pei Xubin;Chen Zekun(State Grid Zhejiang Electric Power Company Information And Communication Company,Hangzhou 310020,China)

机构地区：[1]国网浙江省电力公司信息通信公司,浙江杭州310020

出　　处：《无线互联科技》2020年第20期57-60,65,共5页Wireless Internet Technology

摘　　要：随着互联网基础设施的完善以及大云物移链技术的快速突破,计算机技术在社会各方面都有着广泛而深入的应用。计算机技术在改变人类生活的同时也易被黑客利用对人类生活造成一定威胁,机器学习技术的出现可以让计算机拥有类似人类的思维,可以通过学习和分析提前预判和抵御可能的安全事件。文章以机器学习为切入点,探寻机器学习在网络安全中的作用。With the improvement of Internet infrastructure and the rapid breakthrough of big data cloud object chain technology,computer technology has been widely and deeply applied in all aspects of society.While changing human life,computer technology is also easy to be exploited by hackers,which poses a certain threat to human life.The emergence of machine learning technology enables computers to have the thinking similar to human beings,and can predict and resist possible security incidents in advance through learning and analysis.Taking machine learning as a starting point,this paper explores the role of machine learning in network security.

关 键 词：信息安全 机器学习 网络安全 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程] TP393.08[自动化与计算机技术—控制科学与工程]