RADE: Resource-Efficient Supervised Anomaly Detection Using Decision Tree-Based Ensemble Methods.
Shay VargaftikIsaac KeslassyYaniv Ben-ItzhakPublished in: CoRR (2019)
Keyphrases
- anomaly detection
- ensemble methods
- intrusion detection
- detecting anomalies
- network traffic
- network intrusion detection
- unsupervised learning
- decision trees
- prediction accuracy
- anomalous behavior
- detect anomalies
- machine learning methods
- one class support vector machines
- semi supervised
- network anomaly detection
- benchmark datasets
- ensemble learning
- random forests
- negative selection algorithm
- optimization algorithm
- principal component analysis
- base classifiers
- reinforcement learning
- data sets