Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection.
Ming-Chang LeeJia-Chun LinPublished in: CoRR (2023)
Keyphrases
- lightweight
- anomaly detection
- deep learning
- unsupervised learning
- detect anomalies
- intrusion detection
- detecting anomalies
- network traffic
- anomalous behavior
- machine learning
- network intrusion detection
- intrusion detection system
- network anomaly detection
- online learning
- mental models
- supervised learning
- one class support vector machines
- wireless sensor networks
- weakly supervised
- reinforcement learning
- network security
- negative selection algorithm
- conditional random fields
- semi supervised
- pattern recognition
- training data
- image processing