A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions.
Peng YanAhmed AbdulkadirPaul-Philipp LuleyMatthias RosenthalGerrit A. SchatteBenjamin F. GreweThilo StadelmannPublished in: IEEE Access (2024)
Keyphrases
- anomaly detection
- transfer learning
- intrusion detection
- one class support vector machines
- active learning
- learning tasks
- network anomaly detection
- anomalous behavior
- detect anomalies
- network traffic
- machine learning
- machine learning algorithms
- domain specific
- domain adaptation
- network intrusion detection
- object recognition
- bayesian networks
- neural network