Anomaly detection based on random matrix theory for industrial power systems.
Qiuyan ZhangShaohua WanBo WangDavid Wenzhong GaoHengrui MaPublished in: J. Syst. Archit. (2019)
Keyphrases
- anomaly detection
- power system
- random matrix theory
- intrusion detection
- correlation matrix
- power grid
- detecting anomalies
- network intrusion detection
- anomalous behavior
- smart grid
- network traffic
- power generation
- intrusion detection system
- computational intelligence
- network anomaly detection
- one class support vector machines
- machine learning
- detect anomalies
- information systems
- unsupervised learning
- network security
- electric power systems