A data-driven approach for multivariate contextualized anomaly detection: Industry use case.
Nenad StojanovicMarko DinicLjiljana StojanovicPublished in: IEEE BigData (2017)
Keyphrases
- anomaly detection
- intrusion detection
- anomalous behavior
- network intrusion detection
- detecting anomalies
- computer security
- unsupervised anomaly detection
- network traffic
- behavior analysis
- network anomaly detection
- intrusion detection system
- detecting anomalous
- malware detection
- detect anomalies
- one class support vector machines
- negative selection algorithm
- unsupervised learning
- data sets
- image segmentation
- information systems