基于随机森林的防化通信网络安全态势评估模型  

Security Situation Assessment Model of Chemical Defense Communication Network Based on Random Forest

作　　者：马镜 MA Jing(Marine Equipment Project Management Center,Beijing 100071,China)

机构地区：[1]海装装备项目管理中心,北京100071

出　　处：《通信电源技术》2022年第17期97-99,共3页Telecom Power Technology

摘　　要：常规的防化通信网络安全态势评估模型往往使用BP神经网络调整安全评估阈值,随着迭代次数的变化,其时间复杂度越来越高,导致其评估效率偏低。因此,基于随机森林设计一种全新的防化通信网络安全态势评估模型。以防化通信网络节点的重要性权值为基础,计算了网络安全态势值,再利用随机森林获取了网络安全态势要素,完成网络安全态势评估模型优化。实验结果表明,设计的防化通信网络安全态势评估模型在不同的评估等级下的时间复杂度较低,证明其评估效率较高,有一定的应用价值,可以作为后续防化通信网络安全维护的参考。Conventional chemical defense communication network security situation assessment models often use BP neural network to adjust the security assessment threshold.As the number of iterations changes,its time complexity becomes higher and higher,resulting in its low assessment efficiency.Therefore,it is necessary to design a new security situation assessment model of chemical defense communication network based on random forest.Based on the importance weight value of chemical protection communication network node,the network security situation value is calculated,and then the network security situation elements are obtained by using the random forest to complete the optimization of the network security situation assessment model.The experimental results show that the time complexity of the designed chemical defense communication network security situation assessment model under different assessment levels is low,which proves that its assessment efficiency is high and has certain application value,and can be used as a reference for the subsequent chemical defense communication network security maintenance.

关 键 词：随机森林 防化 通信网络 安全态势评估 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]