A non-intrusive state monitoring framework for embedded devices in industrial control systems is provided in this standard. The techniques covered include analog signal acquisition, analog data processing, model training, anomaly detection, and human-machine interface. The analog signal acquisition is to gather various types of sensor signals from the embedded devices. The analog data processing is to process the collected data to extract features. The model training is to train a classification model that can identify different types of attacks. The anomaly detection is to implement, manage, and secure the detection engine. The human-machine interface is to provide alarm information and get feedback.
- Standard Committee
- C/SM - Smart Manufacturing Standards Committee
- Status
- Active PAR
- PAR Approval
- 2021-11-09
Working Group Details
- Society
- IEEE Computer Society
- Standard Committee
- C/SM - Smart Manufacturing Standards Committee
- Working Group
-
NISM - Non-intrusive State Monitoring
- IEEE Program Manager
- Jiajia Liu
Contact Jiajia Liu - Working Group Chair
- Wenyuan Xu
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