计算机应用与软件2017，Vol.34Issue(1)：293-297,5.DOI:10.3969/j.issn.1000-386x.2017.01.053
基于粒子滤波的网络安全态势预测方法研究
RESEARCH ON A PREDICTION METHOD OF NETWORK SECURITY SITUATION BASED ON PARTICLE FILTER
摘要
Abstract
In order to change the network management from passive defense to active defense, it is necessary to predict network security situation.To solve the problems of the low accuracy and samples training in existing forecast methods, the prediction method of network security situation based on particle filter is proposed.This method uses the weighted particles to approximate the posteriori probability density and realizes nonlinear situation prediction by the approximate integral operations include importance sampling, weight updating, state estimation.Experimental results show that this method can not only reflect the nonlinear of network security situation, but also forecast the value of network security situation.Comparing with the other situation forecasting models, this method is more accurate and can be adapted to the complex network environment.关键词
网络安全/态势预测/粒子滤波Key words
Network security/Situation prediction/Particle filter分类
信息技术与安全科学引用本文复制引用
汤永利,李伟杰,于金霞,闫玺玺..基于粒子滤波的网络安全态势预测方法研究[J].计算机应用与软件,2017,34(1):293-297,5.基金项目
国家自然科学基金项目(61300216) （61300216）
河南省科技攻关重点项目(122102310309) （122102310309）
河南省科技厅基础与前沿技术项目(142300410147) （142300410147）
河南理工大学博士基金项目(B2011-058). （B2011-058）
