信阳师范学院学报（自然科学版）Issue(1)：113-115,133,4.DOI:10.3969/j.issn.1003-0972.2016.01.027
基于粒子群算法优化最小二乘支持向量机的网络安全态势评估
Network Security Situation Assessment Based on Particle Swarm Algorithm Optimizing Least Square Support Vector Machine
摘要
Abstract
In order to improve the assessment accuracy of network security situation ,a network security sit‐uation assessment model was proposed based on particle swarm optimization(PSO) algorithm and least squares support vector machine .Firstly ,the parameters on the performance of least squares support vector machine were analyzed ,and secondly the parameters of least squares support vector machines were selected using the PSO algorithm ,and the model of network security situation assessment was given .Finally the simulation exper‐iment was used to test its validity and superiority .The results showed that the proposed model can obtain more ideal results of the network security situation assessment .关键词
最小二乘支持向量机/网络安全/态势评估/模型参数Key words
least square support vector machine/network security/situation assessment/parameters of model分类
信息技术与安全科学引用本文复制引用
黄东,李长彬..基于粒子群算法优化最小二乘支持向量机的网络安全态势评估[J].信阳师范学院学报（自然科学版）,2016,(1):113-115,133,4.基金项目
广西高校科学技术研究项目（2013YB259）；广西高校科学技术研究重点项目 （）
