Anomaly Detection through Transfer Learning in Agriculture and Manufacturing IoT Systems.
Mustafa AbdallahWo Jae LeeNithin RaghunathanCharilaos MousoulisJohn W. SutherlandSaurabh BagchiPublished in: CoRR (2021)
Keyphrases
- anomaly detection
- transfer learning
- intrusion detection
- anomalous behavior
- knowledge transfer
- intrusion prevention
- network intrusion detection
- learning tasks
- detecting anomalies
- connectionist systems
- intrusion detection system
- network traffic
- cross domain
- labeled data
- active learning
- network anomaly detection
- machine learning
- machine learning algorithms
- feature extraction
- detect anomalies
- domain adaptation
- reinforcement learning
- activity recognition
- computer systems
- data sets
- one class support vector machines
- supervised learning
- neural network
- feature space
- probabilistic model
- collaborative filtering