摘要
为提高医院网络安全量化评估的精度,提出一种基于BA-RVM的医院网络安全量化评估方法。首先,从资产、脆弱性和威胁三个方面建立医院网络安全量化评价指标体系;其次,针对RVM模型性能受径向基核函数宽度的影响,运用BA算法对RVM模型参数进行优化选择,建立BA-RVM的医院网络安全量化评估模型。与RVM和SVM相比,基于BA-RVM的医院网络安全量化评价可以有效提高量化评价的精度,为医院网络安全量化评价提供了新的方法。
In order to improve the precision of hospital network security quantitative assessment,a quantitative evaluation method of hospital network security based on BA-RVM is proposed.Firstly,the quantitative evaluation index system of hospital network security is established from the aspects of assets,vulnerability and threat.Secondly,the parameters of RVM model are optimized by BA algorithm because the performance of RVM model is affected by the width of Radial basis function Establishment of Quantitative Evaluation Model of hospital network security based on BA-RVM.Compared with RVM and SVM,BA-RVM based hospital network security quantitative evaluation can effectively improve the accuracy of quantitative evaluation,and provides a new method for hospital network security quantitative evaluation.
作者
方建军
Fang Jianjun(Yantai Traditional Chinese Medicine Hospital,Yantai 264000,China)
出处
《现代科学仪器》
2019年第4期148-152,共5页
Modern Scientific Instruments
基金
国家重点研发计划(2018YFC130078)。
关键词
蝙蝠算法
相关向量机
网络安全
支持向量机
bat algorithm
relevance vector machine
network security
support vector machine