Anomaly Detection in Automatic Generation Control Systems Based on Traffic Pattern Analysis and Deep Transfer Learning.
Tohid BehdadniaGeert DeconinckPublished in: CoRR (2022)
Keyphrases
- pattern analysis
- transfer learning
- anomaly detection
- network traffic
- control system
- detect anomalies
- intrusion detection
- pattern recognition
- learning tasks
- labeled data
- knowledge transfer
- normal traffic
- reinforcement learning
- network intrusion detection
- intrusion detection system
- detecting anomalies
- machine learning
- collaborative filtering
- image analysis
- cross domain
- active learning
- pattern classification
- activity recognition
- semi supervised learning
- data analysis
- fuzzy logic
- computational intelligence
- anomalous behavior
- text categorization
- text classification
- transfer knowledge
- learning algorithm
- real world
- machine learning algorithms
- network anomaly detection
- unsupervised learning
- negative selection algorithm
- one class support vector machines
- unlabeled data
- target domain
- decision making
- information retrieval
- neural network
- databases
- data points
- natural language
- data mining