Open Access

ARTICLE

Deep Learning Anomaly Detection Based on Hierarchical Status-Connection Features in Networked Control Systems

Jianming Zhao^1,2,3,4, Peng Zeng^1,2,3,4,*, Chunyu Chen^1,2,3,4, Zhiwei Dong⁵, Jongho Han⁶

1 State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China
2 Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang 110016, China
3 Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, 110016, China
4 University of Chinese Academy of Sciences, Beijing, 100049, China
5 State Grid Liaoning Electric Power Company Limited Electric Power Research Institute, Shenyang, 110016, China
6 Korea Intelligent Automotive Parts Promotion Institute, Daegu, 43011, Korea

* Corresponding Author: Peng Zeng. Email: