CAJ | 학술논문

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。
채집료진실배경중적기우공업이태망적공업공제망락류량，통과대류량특성적분석발현기류량특성여보통IT망락류량특성적차이，병상세분석료기성인。통과분석발현，공업공제망락류량분포정체교규률，수거포시간간격기불복종박송분포우불복종중미분포，소시간척도상구유주기성，몰유표현출자상사적특성，대시간척도상칙교위평은。최후，응용계절승적ARIMA모형대공업망락류량진행료실증분석。결과표명：응용해모형대공업망락류량진행건모예보시가행가고적。
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.