Ensemble methods for anomaly detection and distributed intrusion detection in Mobile Ad-Hoc Networks.
João B. D. CabreraCarlos GutiérrezRaman K. MehraPublished in: Inf. Fusion (2008)
Keyphrases
- ensemble methods
- distributed intrusion detection
- anomaly detection
- intrusion detection system
- intrusion detection
- prediction accuracy
- network security
- network intrusion detection
- network traffic
- machine learning methods
- decision trees
- random forests
- base classifiers
- ensemble learning
- benchmark datasets
- detecting anomalies
- anomalous behavior
- one class support vector machines
- network anomaly detection
- machine learning
- detect anomalies
- multiple models
- artificial neural networks
- learning process
- normal behavior
- negative selection algorithm
- unsupervised learning