HELAD: A novel network anomaly detection model based on heterogeneous ensemble learning.
Ying ZhongWenqi ChenZhiliang WangYifan ChenKai WangYahui LiXia YinXingang ShiJiahai YangKeqin LiPublished in: Comput. Networks (2020)
Keyphrases
- ensemble learning
- network anomaly detection
- anomaly detection
- network intrusion detection
- ensemble methods
- generalization ability
- concept drift
- self organizing maps
- base classifiers
- random forest
- unlabeled data
- data sets
- mutual subspace method
- prediction accuracy
- benchmark datasets
- alert correlation
- pattern recognition
- feature extraction