A self-adaptive negative selection approach for anomaly detection.
Luis J. GonzalesJames CannadyPublished in: IEEE Congress on Evolutionary Computation (2004)
Keyphrases
- anomaly detection
- artificial immune
- intrusion detection
- network intrusion detection
- artificial immune system
- clonal selection
- detecting anomalies
- anomalous behavior
- network traffic
- intrusion detection system
- clonal selection algorithm
- one class support vector machines
- network anomaly detection
- negative selection algorithm
- machine learning
- normal behavior
- hybrid method
- real valued
- unsupervised learning
- evolutionary algorithm
- bayesian networks
- learning algorithm