Self-Assessment and Robust Anomaly Detection with Bayesian Deep Learning.
Giuseppina CarannanteDimah DeraOrune AminulNidhal C. BouaynayaGhulam RasoolPublished in: FUSION (2022)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- intrusion detection
- network intrusion detection
- detecting anomalies
- anomalous behavior
- network traffic
- network anomaly detection
- one class support vector machines
- weakly supervised
- negative selection algorithm
- detect anomalies
- machine learning
- intrusion detection system
- supervised learning
- mental models
- named entities
- feature selection
- information retrieval
- data sets