摘要
目前设计的网络入侵监测系统对于入侵信息的漏报率较高,准确率较低。为了解决上述问题,引入自适应滤波处理技术,设计了一种新的网络入侵监测系统。系统硬件通过滤波器增强信息过滤能力,利用数据采集器采集数据,采用处理器和监测器分析数据信息。应用自适应滤波技术对信息进行检测、过滤,完成软件工作流程。实验结果表明,基于自适应滤波处理的网络入侵监测系统能够有效降低系统的漏报率,提高监测结果准确率。
The currently designed network intrusion monitoring system has a high rate of underreporting intrusion information,and a low accuracy rate.In order to solve the above-mentioned problems,a new network intrusion monitoring system was designed by introducing adaptive filter processing technology,and the hardware and software of the system were designed.The system hardware uses filters to enhance information filtering capabilities,uses data collectors to collect data,and uses processors and monitors to analyze data information.Apply adaptive filtering technology to detect and filter information to complete the software workflow.The experimental results show that the network intrusion monitoring system based on adaptive filter processing can effectively reduce the system’s false negative rate and improve the accuracy of monitoring results.
作者
方雪琴
石宏宇
王信科
FANG Xueqin;SHI Hongyu;WANG Xinke(China Southern Power Grid Hainan Digital Grid Research Institute Co.,Ltd.,Haikou 570100,China)
出处
《电子设计工程》
2022年第5期113-117,共5页
Electronic Design Engineering
关键词
自适应滤波
滤波处理
网络入侵
监测系统
adaptive filtering
filtering processing
network intrusion
monitoring system
