Use of traffic sampling in anomaly detection for high-throughput network links.
Marek BolanowskiAndrzej PaszkiewiczHubert MazurPublished in: FedCSIS (2023)
Keyphrases
- anomaly detection
- high throughput
- network traffic
- detect anomalies
- intrusion detection
- network anomaly detection
- genome wide
- microarray
- systems biology
- detecting anomalies
- computer networks
- anomalous behavior
- biological data
- intrusion detection system
- network security
- network intrusion detection
- network intrusion
- protein protein interactions
- traffic patterns
- interaction networks
- normal traffic
- data acquisition
- mass spectrometry
- unsupervised learning
- one class support vector machines
- complex networks
- low cost
- mass spectrometry data
- ip address
- ip addresses
- sensor networks
- active learning
- decision trees
- feature selection
- computer vision
- negative selection algorithm
- real time