Improving Network Intrusion Detection Using Supervised Learning for Feature Selection.
Hamed SanusiZheni UticJongyeop KimPublished in: BCD (2023)
Keyphrases
- model selection
- network intrusion detection
- feature selection
- supervised learning
- unsupervised learning
- anomaly detection
- intrusion detection
- machine learning
- network intrusion
- intrusion detection system
- artificial immune
- fraud detection
- network traffic
- classification accuracy
- network anomaly detection
- text categorization
- selecting relevant features
- network attacks
- network traffic data
- reinforcement learning
- unlabeled data
- learning algorithm
- training data
- active learning
- training set
- semi supervised learning
- feature set
- dimensionality reduction
- multi class
- information systems
- learning tasks
- network security
- text classification
- data mining
- feature space
- semi supervised
- network intrusions