入侵检测技术在校园网络信息安全中的应用

Application of Intrusion Detection Technology in Campus Network Information Security

随着互联网的发展与普及,大部分学校在校园内已全面覆盖网络,为师生提供了便利,但也出现了很多信息安全问题。因此,在建设校园网络的过程中,为确保网络信息安全,需要配备一套完善的网络安全防护体系。基于此,从入侵检测技术着手,将入侵检测系统和人工智能相结合,提出基于机器学习的网络入侵检测技术,并设计了针对校园网络安全问题的解决方案,以促进校园网络的良性发展。

With the development and popularization of the Internet,most schools have fully covered the network on campus,providing convenience for teachers and students,but there are also many information security issues.Therefore,in the process of building a campus network,in order to ensure the security of network information,it is necessary to equip a complete network security protection system.Based on this,starting with intrusion detection technology,combining intrusion detection systems with artificial intelligence,a network intrusion detection technology based on machine learning is proposed,and solutions to campus network security issues are designed to promote the healthy development of campus networks.