摘要
为了提高船舶监控网络的安全性,进行网络入侵的准确检测,提出一种基于数据流的船舶监控网络入侵检测系统设计方法,采用数据流异常特征检测方法进行网络入侵检测算法设计,采用自适应波束形成方法进行船舶监控网络传输数据流的聚焦处理,提取船舶监控网络传输数据流的多源波束特征量,实现异常监控识别,对提取的异常监控信息进行分类处理,实现入侵检测。在嵌入式ARM环境中进行入侵检测系统软件设计。仿真结果表明,采用该系统进行船舶监控网络入侵检测的准确性较高,网络安全性较好。
In order to improve the safety of ship monitoring and control network,the network intrusion detection accuracy,proposes a ship monitoring network based on data stream intrusion detection system design method,using data flow anomaly detection method of network intrusion detection algorithm design,adaptive beamforming method is used to focus the ship monitoring network data stream.Multisource beam characteristics of ship monitoring network data stream transmission,realize monitoring abnormal recognition,classification and treatment of abnormal monitoring information was extracted,implementation of intrusion detection.In the embedded ARM environment for intrusion detection system software design.The simulation results show that the ship monitoring network intrusion detection accuracy of the system network good safety.
出处
《舰船科学技术》
北大核心
2018年第2X期178-180,共3页
Ship Science and Technology
关键词
数据流
船舶
监控网络
入侵检测
data flow
ship
monitoring network
intrusion detection
