A Federated Learning Approach for Efficient Anomaly Detection in Electric Power Steering Systems.
Kimleang KeaYoungsun HanYoung-Jae MinPublished in: IEEE Access (2024)
Keyphrases
- anomaly detection
- connectionist systems
- electric power
- learning process
- learning algorithm
- unsupervised learning
- intrusion detection system
- intrusion detection
- expert systems
- network traffic
- network intrusion detection
- reinforcement learning
- anomalous behavior
- active learning
- detecting anomalous
- intelligent systems
- machine learning
- artificial neural networks
- data mining
- network anomaly detection
- one class support vector machines
- detecting anomalies
- text classification
- decision making