首页|大数据时代人工智能在大学校园网络安全技术中的运用

大数据时代人工智能在大学校园网络安全技术中的运用

The Application of Artificial Intelligence in Campus Network Security Technology in the Era of Big Data

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随着社会信息化的快速发展以及大数据时代的到来,人工智能在许多领域和行业得到了广泛应用.目前人工智能生成内容、高性能计算方兴未艾,人们不断建设拥有海量计算资源的计算中心(或者称为智算中心),但是近年来随着挖矿病毒的流行,计算中心成为黑客重要的攻击目标.传统的计算中心一般采用防火墙和安全外壳协议(Secure Shell,简称SSH)作为主要的网络安全防护手段.这种防护对于来自系统内部攻击,即密码泄露的账号入侵,存在很大的安全隐患.如果增加登录认证,又会在网络配置和用户体验方面带来非常大的不便,同时还会增加很多网络安全建设经费.对此,本文重点介绍在防火墙、入侵防御系统和SSH基本网络安全防护基础上,利用大数据人工智能的技术,在系统内部进行安全防护,即对用户在系统上的行为进行预测和判断,及时中断用户的非法破坏行为,从而保护系统内部安全.
With the rapid development of social informatization and the arrival of the big data era,artificial intelligence has been widely applied in many fields and industries.At present,artificial intelligence is generating content and high-performance computing is booming.People are constantly building computing centers(or intelligent computing centers)with massive computing resources.However,in recent years,with the popularity of mining viruses,computing centers have become an important target for hackers to attack.Traditional computing centers generally use firewalls and Secure Shell(SSH)as the main means of network security protection.This type of protection poses significant security risks for account intrusions from internal system attacks,such as password leaks.If login authentication is added,it will bring great inconvenience to network configuration and user experience,and also increase a lot of network security construction funds.In this regard,this article focuses on introducing the use of big data and artificial intelligence technology in the basic network security protection of firewalls,intrusion prevention systems,and SSH.It predicts and judges the behavior of users on the system,timely interrupts their illegal destructive behavior,and protects the internal security of the system.

computing centerbig dataartificial intelligencecomputer network security

赵薇

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湘潭大学公共管理学院,湖南湘潭 411100

计算中心 大数据 人工智能 计算机网络安全

2024

软件
中国电子学会 天津电子学会

软件

影响因子:1.51
ISSN:1003-6970
年,卷(期):2024.45(1)
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