Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach.
Yi LiuSahil GargJiangtian NieYang ZhangZehui XiongJiawen KangM. Shamim HossainPublished in: IEEE Internet Things J. (2021)
Keyphrases
- anomaly detection
- connectionist systems
- intrusion detection
- anomalous behavior
- detecting anomalies
- network intrusion detection
- intrusion detection system
- network security
- unsupervised anomaly detection
- behavior analysis
- supervised learning
- computer security
- image segmentation
- learning algorithm
- unsupervised learning
- computer systems
- network traffic
- active learning
- support vector
- reinforcement learning
- machine learning