Self-adaptive and dynamic clustering for online anomaly detection.
Seungmin LeeGisung KimSehun KimPublished in: Expert Syst. Appl. (2011)
Keyphrases
- anomaly detection
- intrusion detection
- network traffic
- network intrusion detection
- computer security
- unsupervised anomaly detection
- intrusion detection system
- detecting anomalies
- network anomaly detection
- unsupervised learning
- clustering analysis
- detecting anomalous
- anomalous behavior
- one class support vector machines
- behavior analysis
- malware detection
- network security
- neural network
- self organizing maps
- clustering method
- object recognition
- feature extraction