Incrementally Learning Rules for Anomaly Detection.
Denis PetrussenkoPhilip K. ChanPublished in: FLAIRS Conference (2010)
Keyphrases
- anomaly detection
- learning rules
- neural network
- intrusion detection
- biologically inspired
- artificial neural networks
- network intrusion detection
- anomalous behavior
- detecting anomalies
- unsupervised anomaly detection
- back propagation
- network traffic
- computer security
- network security
- detecting anomalous
- intrusion detection system
- behavior analysis
- one class support vector machines
- negative selection algorithm
- network anomaly detection
- network intrusion
- learning scheme
- learning algorithm
- transfer function
- unsupervised learning
- pattern recognition
- image sequences
- malware detection
- text mining
- expert systems