摘要
医院信息安全态势感知系统在受到网络攻击时,数据的分析处理存在过拟合情况,系统的信息分析能力存在不足。为此,设计基于朴素贝叶斯的医院信息安全态势感知系统。以原有的感知系统整体架构作为基础,在数据采集部分设计输入保护环节,并重新规划数据采集步骤;利用朴素贝叶斯设计分类模型,感知医院信息安全态势类别,根据医院信息分布特点与态势评估因素计算态势评估值,结合态势类别实现对医院信息安全完整的感知。实验结果表明:所设计系统能够保证信息的完整度在90%以上,信息增益明显,有效提高了该系统的信息分析能力。
When the hospital information security situational awareness system is attacked by the network,the data analysis and processing is over fitted,and the information analysis ability of the system is insufficient.Therefore,this paper designs a hospital information security situation awareness system based on Naive Bayes.Based on the original overall architecture of the sensing system,the input protection link is designed in the data acquisition part,and the data acquisition steps are re planned.The classification model is designed by using Naive Bayes to perceive the situation category of hospital information security,calculate the situation assessment value according to the characteristics of hospital information distribution and situation assessment factors,and realize the complete perception of hospital information security combined with the situation category.The experimental results show that the designed system can ensure that the integrity of information is more than 90%,the information gain is obvious,and the information analysis ability of the system is effectively improved.
作者
薛明
XUE Ming(Changzhou No.2 People's Hospital,the Affiliated Hospital of Nanjing Medical University,Changzhou 213000 China)
出处
《自动化技术与应用》
2024年第5期127-130,共4页
Techniques of Automation and Applications
关键词
朴素贝叶斯
医院信息安全
态势感知
数据采集
输入保护
态势评估
Naive Bayes
hospital information security
situational awareness
data acquisition
input protection
situation assessment
