Research on Multi-level Classification Models for Imbalanced Network Intrusion Dataset.
Xiaofeng LiLuqun LiPublished in: EITCE (2022)
Keyphrases
- classification models
- network intrusion
- network intrusion detection
- imbalanced data
- intrusion detection
- feature set
- network security
- decision trees
- training data
- anomaly detection
- feature selection
- fraud detection
- software quality classification
- network traffic
- database
- benchmark datasets
- class imbalance
- attribute selection
- social network analysis
- models built
- artificial neural networks
- computer vision