摘要
传统基于生成树优化的网络入侵检测技术存在识别率低等问题,为了进一步提升检测率,提出基于pfSense的智能网络入侵检测技术,同时借助数据集针对实验进行验证。实验结果表明,与其他技术相比,该技术可以更好地识别攻击类型。
The traditional network intrusion detection technology based on spanning tree optimization has the problem of low recognition rate.In order to further improve the detection rate,an intelligent network intrusion detection technology based on pfSense is proposed,and it is verified by experiments with the help of data sets.Experimental results show that this technology can better identify attack types than other technologies.
作者
杨磊
YANG Lei(Jiangxi University of Software Professional Technology,Nanchang Jiangxi 330000,China)
出处
《信息与电脑》
2023年第3期31-33,共3页
Information & Computer
关键词
pfSense
智能网络入侵检测
生成树优化算法
pfSense
intelligent network intrusion detection
spanning tree optimization algorithm
