Memory-Efficient Random Forest Generation Method for Network Intrusion Detection.
SeokHwan ChoiDongHyun KoSeonJin HwangYoon-Ho ChoiPublished in: ICUFN (2018)
Keyphrases
- generation method
- memory efficient
- random forest
- network intrusion detection
- anomaly detection
- decision trees
- intrusion detection
- random forests
- network intrusion
- fraud detection
- feature set
- network traffic
- intrusion detection system
- multi label
- ensemble methods
- decision tree learning algorithms
- machine learning methods
- text classification
- classification accuracy
- training data
- feature extraction