首页 | 本学科首页   官方微博 | 高级检索  
     检索      

卡尔曼熵值模型的网络安全态势估计
引用本文:朱闻亚,.卡尔曼熵值模型的网络安全态势估计[J].华侨大学学报(自然科学版),2017,0(1):101-104.
作者姓名:朱闻亚  
作者单位:1. 武汉大学 经济与管理学院, 湖北 武汉 430000; 2. 义乌工商职业技术学院 机电信息学院, 浙江 义乌 322000
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.

关 键 词:关联度  回归方程  安全估计  测量模型

Network Security Situation Assessment Based on Kalman Entropy Model
ZHU Wenya,' target="_blank" rel="external">.Network Security Situation Assessment Based on Kalman Entropy Model[J].Journal of Huaqiao University(Natural Science),2017,0(1):101-104.
Authors:ZHU Wenya  " target="_blank">' target="_blank" rel="external">
Institution:1. School of Economics and Management, Wuhan University, Wuhan 430000, China; 2. School of Mechanical and Information, Yiwu Industrial and Commercial College, Yiwu 322000, China
Abstract: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 entropy correlation in order to construct regression equation, which help establish the state model and the measurement 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.
Keywords:correlation degree  regression equation  safety estimation  measurement model
本文献已被 CNKI 等数据库收录!
点击此处可从《华侨大学学报(自然科学版)》浏览原始摘要信息
点击此处可从《华侨大学学报(自然科学版)》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号