基于蒙特卡罗网络节点资源风险评估
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摘要
近年来随着网络的快速发展,过量的网络行为和网络攻击都会带来网络风险,为了保障网络安全,对系统和网络进行风险评估,已经成为网络安全管理人员的迫切需要。网络行为对网络节点资源的争夺会导致其网络性能下降甚至崩溃,论文使用节点设备的内存使用率、网络流量、CPU源之间的联合分布函数进行构造,并对它们的网络风险进行评估。实验结果表明蒙特卡罗模拟方法可以有效地对网络节点资源进行风险评估。
In recent years,with the rapid development of network,network behavior and network attacks will bring excessivenetwork risk. In order to ensure network security,risk assessment of system and network has become urgent need for network security management. The contention of network behavior for network node resource will lead to lower or even collapse of network performance. The paper uses the time series of node device memory usage,network traffic,CPU utilization as the research objects. TheMonte Carlo simulation is used to construct the joint distribution function of network node resources and to evaluate their networkrisk. The experimental results show that the risk of network node resources can be effectively evaluated by the Monte Carlo simulation method.
In recent years,with the rapid development of network,network behavior and network attacks will bring excessivenetwork risk. In order to ensure network security,risk assessment of system and network has become urgent need for network security management. The contention of network behavior for network node resource will lead to lower or even collapse of network performance. The paper uses the time series of node device memory usage,network traffic,CPU utilization as the research objects. TheMonte Carlo simulation is used to construct the joint distribution function of network node resources and to evaluate their networkrisk. The experimental results show that the risk of network node resources can be effectively evaluated by the Monte Carlo simulation method.
引文
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[14]张坤,吴帅兵,李庆典.基于Hermite多项式的等效相关系数求解及可靠度分析[J].武汉大学学报,2012,45(2):200-203.ZHANG Kun,WU Shuaibing,LI Qingdian. Solution ofEquivalent Correlation Coefficient and Reliability Analysis Using Hermite Polynomials[J]. Engineering Journalof Wuhan University,2012,45(2):200-203.
[15]程珊,钮焱,李军.基于网络资源的KNN网络流量分类模型的研究[J].湖北工业大学学报,2016,31(4)75-79.CHEN Shan,NIU Yan,LI Jun. A Study on Network Traffic Classification Model of KNN Based on Network Resources[J]. Journal of Hubei University of Technology,2016,31(4)75-79.
[2]陈玮.网络安全风险评估研究[D].青岛:青岛大学,2007.CHEN Wei. Research on Risk Assessment of Network Security[D]. Qingdao:Qingdao University,2007.
[3]李亚妮.蒙特卡罗方法及其在期权定价中的应用[D].西安:陕西师范大学,2007.LI Yani. Monte Carlo Methods for Option Pricing[D].Xi'an:Shaanxi Normal University,2007.
[4]唐崇禄.蒙特卡罗方法理论和应用[M].北京:科学出版社,2015.TANG Chonglu. Monte Carlo Method,Theory and Applications[M]. Beijing:Science Press,2015.
[5]徐钟济.蒙特卡罗方法[M].上海:上海科学技术出版社,1985XU Zhongji. Mente Carlo Method[M]. Shanghai:ShanghaiScientific&Technical Publishers,1985.
[6]Boyle P,Broadie M,Glasserman P. Monte Carlo methodsfor security pricing[J]. Journal of Economic Dynamics&Control,1997,21(8-9):1267-1321.
[7]熊飞,李军,钮焱.基于藤Copula-GARCH模型的网络资源风险预测[J].湖北工业大学学报,2016,31(5):68-71.XIONG Fei,LI Jun,NIU Yan. Network Resource RiskForecast Based on Vine Copula-GARCH Model[J]. Journal of Hubei University of Technology,2016,31(5):68-71.
[8]高江.藤Copula模型与多资产投资组合VaR预测[J].数理统计与管理,2013,32(02):247-258.GAO Jiang. Vine Copula Model and VaR Forecast forMulti-Asset Portfolio[J]. Journal of Applied Statistics andManagement,2013,32(02):247-258.
[9]吴帅兵,李庆典,周创兵.联合分布函数蒙特卡罗模拟及结构可靠度分析[J].工程力学,2012,29(9):68-74.WU Shuaibin,LI Qingdian,ZHOU Chuangbing.Monte Carlo Simulation of Multivariate Distribution and Its Application to Structural Reliability Analysis[J]. Engineering Mechanics,2012,29(9):68-74.
[10]Mari D D,Kozt S.Correlation and dependence[M]. UK:Imperial College Press,2001:11-13.
[11]Der Kiureghian A,Liu P L. Structural reliability underincomplete probability information[J]. Journal Engineering Mechanics,1986,112:85-104.
[12]Liu P L,Kiureghian A D. Multivariate distribution models with prescribed marginals and covariances[J]. Probabilistic Engineering Mechanics,1986,1(2):105-112.
[13]Phoon K K. Vulnerability and risk associated with geohazards,general non-Gaussian probability models forfirst-order reliability method(FORM):Astate-of-the-art report[R]. ICG Rep.No.2004-2-4,International Centre for Geohazards,Oslo,Norway,2004.
[14]张坤,吴帅兵,李庆典.基于Hermite多项式的等效相关系数求解及可靠度分析[J].武汉大学学报,2012,45(2):200-203.ZHANG Kun,WU Shuaibing,LI Qingdian. Solution ofEquivalent Correlation Coefficient and Reliability Analysis Using Hermite Polynomials[J]. Engineering Journalof Wuhan University,2012,45(2):200-203.
[15]程珊,钮焱,李军.基于网络资源的KNN网络流量分类模型的研究[J].湖北工业大学学报,2016,31(4)75-79.CHEN Shan,NIU Yan,LI Jun. A Study on Network Traffic Classification Model of KNN Based on Network Resources[J]. Journal of Hubei University of Technology,2016,31(4)75-79.