摘要
针对网络安全态势估计问题,提出一种基于卡尔曼熵值模型的估计方法.根据熵值关联度,筛选出影响网络安全的关键因素,构建回归方程;构建网络安全评估的状态模型和测量模型.采用卡尔曼滤波对网络安全态势进行估计.结果表明:文中方法可以对网络安全态势作出精确估计.
Aiming at the problem of network security situation assessment, an estimation method is proposed based on Kalman entropy model. Key factors influencing the network security is selected according to the en-tropy correlation in order to construct regression equation, which help establish the state model and the meas-urement model of network security assessment. Then Kalman filter is used to estimate the network security situation. Results show that this method can accurately estimate the network security situation.
出处
《华侨大学学报（自然科学版）》
CAS
北大核心
2017年第1期101-104,共4页
Journal of Huaqiao University(Natural Science)
基金
浙江省教育厅高等教育教学改革项目(JG2015343)
关键词
关联度
回归方程
安全估计
测量模型
correlation degree
regression equation
safety estimation
measurement model
