Online learning for anomaly detection via subdivisible convex hulls.
David Novoa-ParadelaOscar Fontenla-RomeroBertha Guijarro-BerdiñasPublished in: IJCNN (2020)
Keyphrases
- anomaly detection
- convex hull
- online learning
- intrusion detection
- unsupervised anomaly detection
- detecting anomalies
- network intrusion detection
- anomalous behavior
- e learning
- intrusion detection system
- detect anomalies
- network traffic
- unsupervised learning
- closest points
- point sets
- detecting anomalous
- active learning
- negative selection algorithm
- one class support vector machines
- network security
- network anomaly detection
- behavior analysis
- data points
- extreme points
- pairwise
- similarity measure