首页|智慧校园堡垒主机网络入侵日志分析和预测

智慧校园堡垒主机网络入侵日志分析和预测

扫码查看
随着智慧校园网络的广泛应用,网络安全问题日益凸显,网络入侵检测成为保障网络安全的关键技术之一,针对传统入侵检测方法在处理复杂网络环境时的局限性,通过部署在校园网入口的陷阱堡垒主机,采集网络入侵摘要信息,进行数据分析,同时引入Prophet模型,利用其强大的时间序列预测能力,实现了对智慧校园网络入侵行为的监控和短期预测,为智慧校园网络的安全防护提供了一种新的思路和方法.
Prophet based intelligent campus network intrusion detection and analysis
With the wide application of smart campus network,network security problems are increasingly prominent,and net-work intrusion detection has become one of the key technologies to ensure network security.In view of the limitations of traditional intrusion detection methods in dealing with complex network environments,this paper collects network intrusion summary informa-tion through the trap bastion host deployed at the entrance of the campus network,conducts data analysis,and introduces Prophet model to use its powerful time series prediction ability to achieve the monitoring and short-term prediction of smart campus net-work intrusion behavior,providing new ideas and methods for the security protection of smart campus network.

network intrusion detectiontime series predictionsmart campusProphet model

徐家利

展开 >

浙江机电职业技术大学信息中心,杭州 310053

网络入侵检测 时间序列预测 智慧校园 Prophet模型

2024

现代计算机
中大控股

现代计算机

影响因子:0.292
ISSN:1007-1423
年,卷(期):2024.30(23)