Network Intrusion Detection through Discriminative Feature Selection by Using Sparse Logistic Regression.
Reehan Ali ShahYuntao QianDileep KumarMunwar AliMuhammad Bux AlviPublished in: Future Internet (2017)
Keyphrases
- network intrusion detection
- feature selection
- discriminative features
- intrusion detection
- anomaly detection
- network intrusion
- fraud detection
- feature extraction
- network anomaly detection
- artificial immune
- intrusion detection system
- unsupervised learning
- text categorization
- network traffic
- network traffic data
- support vector
- text classification
- dimensionality reduction
- network attacks
- knn
- classification accuracy
- computer networks
- network intrusions
- feature subset
- model selection
- feature set
- multi class
- information retrieval
- machine learning
- support vector machine
- databases
- detection algorithm
- informative features