Abnormal flow detection in industrial control network based on deep reinforcement learning

作者：

Highlights：

• We combine the perception ability of deep learning with the decision-making ability of reinforcement learning.2

• The paper proposes an abnormal traffic detection model based on deep reinforcement learning.

• The experimental results show that the model can achieve 98.06% accuracy in abnormal flow detection.

摘要

•We combine the perception ability of deep learning with the decision-making ability of reinforcement learning.2•The paper proposes an abnormal traffic detection model based on deep reinforcement learning.•The experimental results show that the model can achieve 98.06% accuracy in abnormal flow detection.

论文关键词：Deep reinforcement learning,Industrial control systems,Abnormal flow detection,The learning strategy

论文评审过程：Received 23 February 2021, Revised 3 May 2021, Accepted 13 May 2021, Available online 1 June 2021, Version of Record 1 June 2021.

论文官网地址：https://doi.org/10.1016/j.amc.2021.126379