基于无线通信的工业控制网络异常数据识别方法  

Industrial control network anomaly data identification method based on wireless communication

作　　者：莫晓瑾[1] 蒋英钰[2] Mo Xiaojin;Jiang Yingyu(Wuhan Institute of Shipbuilding Technology,Hubei Wuhan 430050;YANGTZE NORMAL UNIVERSITY,ChongQing 408100)

机构地区：[1]武汉船舶职业技术学院中德职业教育学院,湖北武汉430050 [2]长江师范学院机械与电气工程学院机械工程系,重庆408100

出　　处：《长江信息通信》2021年第4期41-43,共3页Changjiang Information & Communications

摘　　要：随着工业无线通信技术的逐步发展与国际化,它在工业自动化领域中发挥着举足轻重的作用。近年来,工业控制网络的安全问题受到了广泛的关注,针对工业网络中异常数据的识别研究也得到重视。目前,工业网络数据异常识别方法可以处理的大部分数据是单维的,并且数据检测只能在被测量的单个项目上执行,测量网络数据的方法复杂且检测非常不方便,测量的精确度不高。为了解决此类问题,通过查找大量的文献,对数据进行对比分析,基于无线通信的异常数据识别是针对工业网络,检测无线网络的数据,找到了一种可以检测待测多个指标数据的异常识别方法,经过实验证明可提高网络数据识别的可靠性和安全性。With the gradual igniting of industrial infinite communication technology and the gradual internationalization of development, it plays a pivotal role in the road of industrial automation. Industrial network anomalies have also become a topic of concern, and research on the identification of anomalous data in industrial networks is extremely important.However, most of the data that can be processed by the current industrial network data anomaly identification method is a single dimension, and data detection can only be performed on a single item to be measured, and the method of measuring the network data is huge. This method is extremely inconvenient. And can’t measure more rigorously. In order to solve such problems, this paper finds a large number of documents, and through the comparative analysis of data, finds an abnormal recognition method that can detect data of multiple indicators to be tested, and improves the reliability and security of network data identification.

关 键 词：网络监测 异常数据识别 无线通信 

分 类 号：TN92[电子电信—通信与信息系统] TP273[电子电信—信息与通信工程]