Anomaly Detection in Electrical Substation Circuits via Unsupervised Machine Learning.
Alfonso ValdesRichard MacwanMatthew BackesPublished in: IRI (2016)
Keyphrases
- anomaly detection
- machine learning
- unsupervised learning
- unsupervised anomaly detection
- intrusion detection
- network anomaly detection
- novelty detection
- supervised learning
- detecting anomalies
- anomalous behavior
- network intrusion detection
- semi supervised
- network traffic
- pattern recognition
- computer security
- learning algorithm
- intrusion detection system
- power system
- network security
- behavior analysis
- one class support vector machines
- feature selection
- text classification
- natural language processing
- detect anomalies
- data analysis
- detecting anomalous
- simulation model
- computational intelligence
- active learning
- text mining
- network intrusion
- data mining
- decision trees
- data sets
- training data