An autonomous labeling approach to support vector machines algorithms for network traffic anomaly detection.
Carlos CataniaFacundo BrombergCarlos García GarinoPublished in: Expert Syst. Appl. (2012)
Keyphrases
- anomaly detection
- network traffic
- intrusion detection
- one class support vector machines
- support vector
- intrusion detection system
- network security
- unsupervised learning
- network intrusion detection
- detect anomalies
- detecting anomalies
- detecting anomalous
- network intrusion
- computer networks
- traffic data
- internet traffic
- learning algorithm
- streaming data
- data mining techniques
- decision trees
- anomalous behavior
- network anomaly detection
- negative selection algorithm
- training data
- real world
- databases