基于PSO-FCM智能算法的计算机网络入侵检测方法  

Computer Network Intrusion Detection Method Based on PSO-FCM Intelligent Algorithm

作　　者：齐坤 韦凯 QI Kun;WEI Kai(School of Electronic and Communication Engineering,Shenzhen Polytechnic,Shenzhen,Guangdong 518055,China)

机构地区：[1]深圳职业技术学院电子与信息工程学院,广东深圳518055

出　　处：《深圳职业技术学院学报》2021年第5期3-8,80,共7页Journal of Shenzhen Polytechnic

摘　　要：研究引入基于PSO-FCM智能算法的计算机网络入侵检测方法,主要是将粒子群(PSO)算法引入模糊聚类(FCM)算法,并对该方法进行Matlab仿真分析.结果表明,FCM算法与PSO-FCM智能算法在检测率上,已知攻击均优于未知攻击,优化后的PSO-FCM智能算法入侵检测误检率显著优于FCM算法,PSO-FCM智能算法显著优于传统FCM算法.The research introduces the computer network intrusion detection method based on PSO FCM intelligent algorithm,which mainly introduces PSO algorithm into fuzzy clustering(FCM)algorithm,and makes Matlab simulation analysis on the method.The results show that both FCM algorithm and PSO FCM intelligent algorithm are better than unknown attacks in detection rate.The optimized PSO-FCM intelligent algorithm has better error detection rate than FCM algorithm,and PSO FCM intelligent algorithm is significantly better than traditional FCM algorithm.

关 键 词：模糊聚类算法 粒子群算法 计算机 检测 网络入侵 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]