Light-weight federated learning-based anomaly detection for time-series data in industrial control systems.
Thu-Huong TruongPhuong Bac TaLe Anh QuangNguyen Minh DanLe Thanh CongNguyen Xuan HoangDo Thu HaNguyen Tai HungKim Phuc TranPublished in: Comput. Ind. (2022)
Keyphrases
- anomaly detection
- lightweight
- intrusion detection
- learning algorithm
- control system
- unsupervised learning
- network traffic
- detecting anomalies
- learning process
- network intrusion detection
- unsupervised anomaly detection
- connectionist systems
- intrusion detection system
- active learning
- computer security
- high dimensional
- anomalous behavior
- one class support vector machines
- network anomaly detection
- detecting anomalous
- behavior analysis
- reinforcement learning
- decision trees