石油化工集成系统网络数据安全检测方法研究  

Research on Network Data Security Detection Method for In teg rated Petrochemical System

作　　者：张志华 ZHANG Zhi-hua(China Shipping(China)Co.,Ltd.,Qinhuangdao 32-6 Operation Company,Tianjin 300459 China)

机构地区：[1]中海石油(中国)有限公司秦皇岛32-6作业公司,天津300459

出　　处：《自动化技术与应用》2023年第5期180-183,共4页Techniques of Automation and Applications

摘　　要：针对当前石油化工集成系统网络数据安全检测方法误差率较高,检测效率较低的问题。提出了石油化工集成系统网络数据安全检测方法。在网络时空性原理的基础上,结合多模数据流在网络中的相关性,采用滑动窗口模型并融合多模态数据,实现网络中异常数据的识别,根据正态分布的随机变量验证异常数据来源,完成石油化工集成系统网络数据的安全检测。实验结果表明,所提方法的网络数据安全检测误差率较低、检测效率较高。According to the high detection error rate and low detection efficiency of current network data security detection method of the petrochemical integrated system,a method for network data security detection in the petrochemical integrated system is proposed.Based on the principle of network spatiotemoprality,combined with the correlation of multi-mode data streams in the network,a sliding window model and multi-modal data are fused to realize the identification of abnormal data in the network,and the abnormal data source is verified according to the normally distributed random varibales,and the safety detection of the network data of the petrochemical integration system is completed.The experimental results show that the porposed method has low error rate and high detection efficiency in network data security detection.

关 键 词：石油化工集成系统 数据安全 异常数据检测 数据去噪 

分 类 号：TP311.52[自动化与计算机技术—计算机软件与理论]