FARIMA model-based communication traffic anomaly detection in intelligent electric power substations.
Qiang YangWeijie HaoLeijiao GeWei RuanFujian ChiPublished in: IET Cyper-Phys. Syst.: Theory & Appl. (2019)
Keyphrases
- anomaly detection
- electric power
- power network
- network traffic
- detect anomalies
- computer networks
- intrusion detection
- network intrusion detection
- anomalous behavior
- intrusion detection system
- detecting anomalies
- network security
- network anomaly detection
- power plant
- intelligent systems
- unsupervised learning
- one class support vector machines
- electricity markets
- normal traffic
- machine learning
- power system
- negative selection algorithm
- malicious activities
- cumulative sum