基于数据挖掘算法的医疗网络安全风险评估  

Medical Network Security Risk Assessment Based on Big Data Mining Algorithm

作　　者：蒋科 JIANG Ke(The Second Clinical Medical College of North Sichuan Medical College,Nanchong Central Hospital,Nanchong 637000 China)

机构地区：[1]川北医学院第二临床医学院,南充市中心医院,四川南充637000

出　　处：《自动化技术与应用》2023年第5期99-102,127,共5页Techniques of Automation and Applications

基　　金：南充市校科技战略合作项目(18SXHZ0086)。

摘　　要：以提升医疗网络安全风险评估精度为目标,提出基于数据挖掘算法的医疗网络安全风险评估方法。首先采用病态指数循环分析法确定医疗网络安全风险评估指标,构建医疗网络安全风险评估指标体系,并采用层次分析法设置每个评估指标的权重值,然后采用马尔科夫链和模糊综合法设计医疗网络安全风险评估模型,最后进行医疗网络安全风险评估仿真测试实验。实验结果表明,风险评估结果符合实际情况,风险评估精度极高,评估结果有效可信。In order to improve the accuracy of medical network security risk assessment,a medical network security risk assessment method based on data mining algorithm is proposed.Firstly,the ill conditioned index cycle analysis method is used to determine the medical network security risk assessment index,and the medical network security risk assessment index system is constructed.The analytic hierarchy process is used to set the weight value of each assessment index,and then the Markov chain and fuzzy comprehensive method are used to design the medical network security risk assessment model,Finally,the simulation test experiment of medical network security risk assessment is carried out.The experimental results show that the risk assessment results are in line with the actual situation,risk assessment accuracy is very high,and the assessment results are effective and credible.

关 键 词：安全风险评估 数据挖掘 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]