基于AI环境下高校网络安全与防范的研究  

University network security and security based on AI environment Researchonprevention

作　　者：贺秋歌 陈通 HE Qiuge;CHEN Tong(Xinyang Vocational And Technical College,Xinyang 464000,China)

机构地区：[1]信阳职业技术学院,信阳464000

出　　处：《高科技与产业化》2024年第11期31-33,共3页High-Technology & Commercialization

摘　　要：为解决高校网络安全问题,本文先介绍人工智能环境下高校面临的网络安全风险,以及在网络安全方面存在的一些问题,提出建立网络安全防范意识、采取多元化网络病毒应对策略、构建网络安全防范体系三点防范建议。最后以某高校为例,提出OPNETModeler分层模型的应对措施。经过分析可知该模型应对高校网络安全风险具有可行性,以期能为工作人员防范高校网络安全风险提供参考。In order to solve the problem of network security in colleges and universities,this paper first introduces the network security risks faced by colleges and universities under the environment of artificial intelligence,as well as some problems in network security,and puts forward the establishment of network security awareness,adopt diversified network virus response strategies,and build network security prevention system.Finally,taking a university as an example,the countermeasures of OPNETModeler hierarchical model are proposed.Through analysis,it can be seen that the model is feasible to deal with network security risks in universities,in order to provide reference for the staff to prevent network security risks in universities.

关 键 词：人工智能 高校 网络安全 防火墙技术 

分 类 号：TP18[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] G647[文化科学—高等教育学]