A deep learning anomaly detection framework with explainability and robustness.
Manh-Dung NguyenAnis BouazizValeria ValdésAna Rosa CavalliWissam MallouliEdgardo Montes de OcaPublished in: ARES (2023)
Keyphrases
- anomaly detection
- deep learning
- detecting anomalies
- anomalous behavior
- unsupervised learning
- intrusion detection
- network anomaly detection
- intrusion detection system
- network intrusion detection
- network traffic
- detect anomalies
- unsupervised feature learning
- data mining
- one class support vector machines
- probabilistic model
- learning process
- object recognition
- feature extraction