基于粒子滤波的网络入侵相频特征提取算法  

Algorithm of Network Intrusion Detection Based on Particle Filter

作　　者：陈利军[1] 郭红艳[2] 

机构地区：[1]河南经贸职业学院信息管理系,郑州450018 [2]河南广播电视大学信息工程系,郑州450046

出　　处：《科技通报》2016年第3期101-104,共4页Bulletin of Science and Technology

基　　金：2015年度河南省软科学研究计划项目(152400410185;152400410597)

摘　　要：通过对网络入侵特征的优化提取,提高网络入侵的检测能力。传统方法采用粒子群进化方法提取网络入侵信号的能量信息特征,在对粒子的位置进行调整过程中对干扰信息的滤波性能不好,降低了检测性能。提出基于优化粒子滤波模糊网络入侵相频特征提取算法。仿真结果表明,采用该算法进行模糊网络入侵特征提取,通过粒子滤波,能有效抑制合法数据的干扰,提高网络入侵的检测性能。Through the optimization of network intrusion feature extraction, increase the ability of network intrusion detection. Traditional method using particle swarm evolution method to extract energy information network intrusion signal characteristics, in the process of adjust the position of the particle on the interference of information filtering performance is bad, reduces the detection performance. Based on particle filter fuzzy network intrusion phase frequency feature extraction algorithm is proposed. The simulation results show that this algorithm is awakened fuzzy network intrusion feature extraction, through the particle filter, can effectively restrain the legitimate data interference, improve the detection performance of network intrusion.

关 键 词：网络入侵 网络安全 信号 粒子滤波 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]