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: CoRR (2020)
Keyphrases
- anomaly detection
- connectionist systems
- intrusion detection
- unsupervised learning
- network intrusion detection
- learning algorithm
- learning process
- supervised learning
- network traffic
- detect anomalies
- detecting anomalies
- unsupervised anomaly detection
- anomalous behavior
- computer security
- behavior analysis
- network security
- active learning
- pattern recognition
- network anomaly detection
- negative selection algorithm
- cumulative sum