Research on matrix entropy value between industrial ethernet data and internet data based on information entropy

Hao Jiang, Jiongxuan Jia, Jianlei Gao, Fuyan Wang, Fengjuan Xu
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Abstract

The adoption of network technology for control and measurement makes Industrial Control Systems (ICSs) and Internet of Things (IoTs) more and more powerful, whose communication data plays an important role to realize data intercommunication and sharing. However, communication data have different characteristics, even if the same communication protocol is used in ICS or IT, the communication characteristics and modes are quite different. In order to understand the difference of communication data between internet and industrial ethernet, in this paper, we conduct a series of experiments that use information entropy algorithm to data changes based on different industrial protocol and http protocol, which always is used to measure the uncertainty and describe the uncertainty of data packets. The experimental result analysis shows that there exists a big difference in industrial ethernet data and internet data, the industrial ethernet data are more relatively balanced and more regular than those of internet data.
基于信息熵的工业以太网数据与互联网数据间矩阵熵值研究
网络控制与测量技术的采用使得工业控制系统(ics)和物联网(iot)的功能越来越强大,其通信数据对实现数据的互通和共享起着重要作用。然而,通信数据具有不同的特性,即使在ICS或IT中使用相同的通信协议,其通信特性和模式也大不相同。为了了解互联网和工业以太网通信数据的差异,本文对基于不同工业协议和http协议的数据变化使用信息熵算法进行了一系列实验,信息熵算法通常用于测量数据包的不确定性和描述数据包的不确定性。实验结果分析表明,工业以太网数据与互联网数据存在较大差异,工业以太网数据比互联网数据更相对均衡、更有规律。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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