网络安全与数据治理2025，Vol.44Issue(9)：8-14,7.DOI:10.19358/j.issn.2097-1788.2025.09.002
工业控制系统安全威胁分类模型研究
Research on the classification model of security threats in industrial control system
万佳蓉 1王晔 1张雷 1刘奇 1李春阳 1周帅1
作者信息
- 1. 华北计算机系统工程研究所,北京 100083
- 折叠
摘要
Abstract
Industrial control systems face the certainty of high-intensity continuous attack threats,as well as the uncertainty of un-known threats.When identifying threats,consideration should be given to both generality and industry characteristics.This re-search is based on the general network dataset and industrial control dedicated dataset,fuses the one-dimensional convolutional neural network and attention mechanism,and verifies the performance of the model in different scenarios.Experimental results show that the one-dimensional convolutional neural network model fused with the attention mechanism has good feature capture ca-pabilities in both general network data and industrial control time-series data,and improves the recognition accuracy.关键词
工业控制系统/威胁分类/卷积神经网络/注意力机制Key words
industrial control system/threat classification/convolutional neural network/attention mechanism分类
信息技术与安全科学引用本文复制引用
万佳蓉,王晔,张雷,刘奇,李春阳,周帅..工业控制系统安全威胁分类模型研究[J].网络安全与数据治理,2025,44(9):8-14,7.
