Supervised Feature Selection Techniques in Network Intrusion Detection: a Critical Review.
Mario Di MauroGiovanni GalatroGiancarlo FortinoAntonio LiottaPublished in: CoRR (2021)
Keyphrases
- network intrusion detection
- intrusion detection
- anomaly detection
- network intrusion
- fraud detection
- artificial immune
- intrusion detection system
- network traffic
- network anomaly detection
- semi supervised
- learning algorithm
- data mining
- unsupervised learning
- network attacks
- probabilistic model
- feature selection
- supervised learning
- video sequences
- training data
- information retrieval