Toward cost-sensitive self-optimizing anomaly detection and response in autonomic networks.
Zonghua ZhangFarid Naït-AbdesselamPin-Han HoYouki KadobayashiPublished in: Comput. Secur. (2011)
Keyphrases
- anomaly detection
- cost sensitive
- cost sensitive learning
- misclassification costs
- multi class
- intrusion detection
- network intrusion detection
- autonomic computing
- fraud detection
- anomalous behavior
- network traffic
- cost sensitive classification
- detecting anomalies
- network anomaly detection
- intrusion detection system
- active learning
- naive bayes
- class distribution
- one class support vector machines
- detect anomalies
- support vector machine
- negative selection algorithm
- unsupervised learning
- feature vectors
- similarity measure
- information retrieval