A novel approach to identify regional fault of urban power grid based on collective anomaly detection.
Xiaodi HuangMinglun RenZhongfeng HuPublished in: Int. J. Model. Identif. Control. (2020)
Keyphrases
- anomaly detection
- intrusion detection
- network intrusion detection
- anomalous behavior
- detect anomalies
- detecting anomalies
- network traffic
- computer security
- behavior analysis
- unsupervised learning
- intrusion detection system
- network anomaly detection
- detecting anomalous
- network security
- unsupervised anomaly detection
- normal behavior
- previously unknown
- negative selection algorithm
- network intrusion
- one class support vector machines
- data assimilation
- cumulative sum