Anomaly detection based on unsupervised niche clustering with application to network intrusion detection.
Elizabeth LeónOlfa NasraouiJonatan GómezPublished in: IEEE Congress on Evolutionary Computation (2004)
Keyphrases
- anomaly detection
- network intrusion detection
- intrusion detection
- unsupervised learning
- network intrusion
- unsupervised anomaly detection
- network anomaly detection
- network traffic
- detecting anomalies
- intrusion detection system
- anomaly based intrusion detection
- anomalous behavior
- network security
- one class support vector machines
- knn
- hidden markov models
- object recognition
- fraud detection
- pattern recognition
- machine learning
- supervised learning
- training set
- decision trees
- clustering algorithm
- information systems
- real world