Industrial Control System Intrusion Detection Based on Feature Selection and Temporal Convolutional Network

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- Industrial Control System Intrusion Detection Based on Feature Selection and Temporal Convolutional Network
- Advanced Engineering Sciences Vol. 54, Issue 6, Pages: 238-247(2022)
- 作者机构：
  
  1.中国石油大学（华东）计算机科学与技术学院，山东青岛 266580
  2.中国石油大学（华东）海洋与空间信息学院，山东青岛 266580
  3.中国石油大学（华东）控制科学与工程学院，山东青岛 266580）
- 作者简介：
- 基金信息：
- DOI：10.15961/j.jsuese.202100984
  CLC： TP391
- Published：20 November 2022，
  
  Published Online：26 July 2022，
  
  Received：28 September 2021，
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石乐义,侯会文,徐兴华,等.基于特征选择和时间卷积网络的工业控制系统入侵检测[J].工程科学与技术,2022,54(6):238–247

Shi Leyi,Hou Huiwen,Xu Xinghua,et al.Industrial control system intrusion detection based on feature selection and temporal convolutional network[J].Advanced Engineering Sciences,2022,54(6):238–247
石乐义,侯会文,徐兴华,等.基于特征选择和时间卷积网络的工业控制系统入侵检测[J].工程科学与技术,2022,54(6):238–247 DOI： 10.15961/j.jsuese.202100984.

Shi Leyi,Hou Huiwen,Xu Xinghua,et al.Industrial control system intrusion detection based on feature selection and temporal convolutional network[J].Advanced Engineering Sciences,2022,54(6):238–247 DOI： 10.15961/j.jsuese.202100984.

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