基于BA-RVM的医院网络安全量化评估预测

Quantitative Evaluation and Prediction of Hospital Network Security Based on BA-RVM

为提高医院网络安全评估预测的精度,采用层次分析法从资产、脆弱性、威胁等3个方面建立医院网络安全量化评价指标体系,同时采用BA算法对RVM模型的核函数宽度进行优化,得到用于医院网络安全量化评估预测的BA-RVM模型。将RVM模型和BA-RVM模型分别应用于山东省某三甲医院的网络安全量化评估预测实例中,通过对比预测结果,验证了提出的BA-RVM模型对医院网络安全量化评估预测具有更高的精度和稳定性。

In order to improve the accuracy of quantitative evaluation and prediction of hospital network security, this paper uses analytic hierarchy process is used to establish quantitative evaluation index system of hospital network security from three aspects of assets, vulnerability and threat. At the same time, the bat algorithm(BA) is used to optimize the kernel function width of the relevance vector machine(RVM) model, and BA-RVM model for quantitative evaluation and prediction of hospital network security is obtained. RVM model and BA-RVM model are applied to the quantitative evaluation and prediction of network security in a top degree hospital in Shandong Province. By comparing the prediction results, it is verified that the proposed BA-RVM model has higher accuracy and stability for the quantitative evaluation and prediction of hospital network security.