Boosted Ensemble Learning for Anomaly Detection in 5G RAN.
Tobias SundqvistMonowar H. BhuyanJohan ForsmanErik ElmrothPublished in: AIAI (1) (2020)
Keyphrases
- anomaly detection
- ensemble learning
- generalization ability
- intrusion detection
- ensemble methods
- network intrusion detection
- network traffic
- random forest
- anomalous behavior
- detecting anomalies
- base classifiers
- intrusion detection system
- feature selection
- one class support vector machines
- concept drift
- unlabeled data
- unsupervised learning
- artificial neural networks
- feature space
- negative selection algorithm
- machine learning methods
- benchmark datasets
- prediction accuracy
- multi class
- multiple models
- similarity measure
- machine learning