一种优化的实时网络安全风险量化方法  

An Optimized Real-time Network Security Risk Quantification Method

作　　者：王益斌[1] Wang Yibin(City College,Southwest University of Science and Technology,Mianyang Sichuan 621000,China)

机构地区：[1]西南科技大学城市学院,四川绵阳621000

出　　处：《信息与电脑》2018年第13期218-220,共3页Information & Computer

摘　　要：网络在人们的生活中正在变得越来越重要,网络安全问题也不容忽视。现如今,网络系统需要保证网络的安全性,首先需要对网络风险性作出正确的评估。为了量化网络风险值,评估网络运行过程中受到的威胁,发明了一种优化的实时网络安全风险量化方法。以往都是手工设置,现在新的方法是设置参数矩阵。设置的参数矩阵使配置的复杂程度得到了简化。在体现攻击的风险上,本实验将IDS告警与主机的漏洞状态结合,通过定义攻击的危险度来体现,在此基础上对攻击进行分类。对于马尔卡夫模型中的矩阵,本实验使用的是遗传算法来求解。在实时网络安全风险量化方法的优化上,本实验的目的是对风险描述的规则进行描述,来解决此种模型中的难以配置的问题。Network is becoming more and more important in people's life.Nowadays,network systems need to ensure the security of the network,the first need to make a correct assessment of network risks.In order to quantify the network risk and evaluate the threats in the network operation,an optimized real-time network security risk quantification method is proposed.It used to be manual,but now the new method is to set the parameter matrix.The parameter matrix is set to simplify the complexity of the configuration.In order to reflect the risk of attack,this experiment combines the IDS alarm with the vulnerability state of the host,and defines the vulnerability of the attack.Risk to reflect,on the basis of attack classification.For the matrix in Malka's model,genetic algorithm is used in this experiment.In the optimization of real-time network security risk quantification method,the purpose of this experiment is to describe the rules of risk description to solve the problem of difficult configuration in this model.

关 键 词：隐马尔卡夫模型 遗传算法 威胁攻击 计算机网络 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]