基于SAPSO-Elman的网络安全态势预测研究  

Research on network security situation prediction based on SAPSO-Elman

作　　者：熊英 赵鑫 黄小平 XIONG Ying;ZHAO Xin;HUANG Xiao-ping(Information Technology Department of Jiangmen Open University,Jiangmen 529000,Guangdong Province,China;China Mobile Tietong,Beijing 100038,China;School of Software,Guangzhou University,Guangzhou 510990,China)

机构地区：[1]江门开放大学,广东江门529000 [2]中移铁通有限公司,北京100038 [3]广州大学华软软件学院,广州510990

出　　处：《信息技术》2022年第10期58-63,69,共7页Information Technology

基　　金：江西省重点研发计划项目(20202BBGL73086);江门市基础与理论科学研究类科技计划项目(2021JC07001);广东远程开放教育科研基金项目(YJ2127)。

摘　　要：针对现有网络安全态势预测精度不高,对初始训练数据依赖较强的问题,结合Elman网络基本原理,从网络激活函数、网络结构、网络参数三方面进行改进,建立基于改进Elman网络的网络安全态势预测模型。仿真结果表明,该研究算法在平均相对误差和均方根误差指标上表现良好,具有更好的预测效果。Regarding the problems of low prediction accuracy and strong dependence on the initial training data of the existing network security situation prediction, combined with the basic principles of Elman network, the improvement begins from network activation function, network structure and network parameters, and the network security situation prediction model based on the improved Elman network is established. The simulation results show that the improved Elman network can accurately and effectively predict the security situation of cloud network, this algorithm performs well in terms of the average relative error and root mean square error, and has better prediction effect.

关 键 词：SAPSO算法 ELMAN网络 云网络 安全态势预测 态势评估 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]