工业控制网络流量特性分析与建模  

Industrial Control Network Traffic Characteristic Analysis and Modeling

作　　者：赖英旭[1] 高春梅[1] 

机构地区：[1]北京工业大学计算机学院,北京100124

出　　处：《北京工业大学学报》2015年第7期991-999,共9页Journal of Beijing University of Technology

基　　金：北京市高等学校人才强教深化计划\中青年骨干人才培养计划项目(PHR201108016)

摘　　要：采集了真实环境中的基于工业以太网的工业控制网络流量,通过对流量特性的分析发现其流量特性与普通IT网络流量特性的差异,并详细分析了其成因.通过分析发现,工业控制网络流量分布整体较规律,数据包时间间隔既不服从泊松分布又不服从重尾分布,小时间尺度上具有周期性,没有表现出自相似的特性,大时间尺度上则较为平稳.最后,应用季节乘积ARIMA模型对工业网络流量进行了实证分析.结果表明:应用该模型对工业网络流量进行建模预报是可行可靠的.This paper collects network traffic of an industrial control system that is based on industrial Ethernet in a real environment. By analyzing the characteristics of the network, it is found that there is an obvious difference between the characteristics of industrial control network and ordinary IT network. The cause of the difference is carefully analyzed. The traffic of industrial control network has a relatively regularity. As a whole, the distribution packet intervals neither follow a Poisson distribution nor subject to heavy tailed distribution. In a small time scale, the traffic has a periodicity and it does not show self-similarity, while it is stationary in a large time scale. Finally, a multiple seasonal ARIMA model is used to make empirical analysis on the industrial network traffic. Results show that the model is feasible and reliable.

关 键 词：工业控制网络 流量特性 流量模型 乘积季节ARIMA 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]