A GAN-Based Anomaly Detection Approach for Imbalanced Industrial Time Series.
Wenqian JiangYang HongBeitong ZhouXin HeCheng ChengPublished in: IEEE Access (2019)
Keyphrases
- anomaly detection
- detect anomalies
- intrusion detection
- unsupervised anomaly detection
- anomalous behavior
- detecting anomalies
- network intrusion detection
- intrusion detection system
- behavior analysis
- computer security
- detecting anomalous
- network anomaly detection
- network security
- one class support vector machines
- network traffic
- decision trees
- data sets
- unsupervised learning
- high dimensional
- feature extraction
- negative selection algorithm