A Concept Drift Based Ensemble Incremental Learning Approach for Intrusion Detection.
Xiaoming YuanRan WangYi ZhuangKun ZhuJie HaoPublished in: iThings/GreenCom/CPSCom/SmartData (2018)
Keyphrases
- intrusion detection
- incremental learning
- concept drift
- ensemble learning
- drifting concepts
- data streams
- batch learning
- intrusion detection system
- anomaly detection
- streaming data
- data stream classification
- drift detection
- concept drifting
- network security
- non stationary
- change detection
- network intrusion detection
- network traffic
- classification algorithm
- stream data
- neural network
- ensemble methods
- data mining
- supervised learning
- data distribution
- learning process
- data mining techniques
- base classifiers
- semi supervised
- classifier ensemble
- sliding window
- pattern recognition
- training set
- feature space
- alert correlation
- database
- computer vision
- data management