The Effectiveness of Sampling Methods for the Imbalanced Network Intrusion Detection Data Set.
Kok-Chin KhorChoo-Yee TingSomnuk Phon-AmnuaisukPublished in: SCDM (2014)
Keyphrases
- network intrusion detection
- sampling methods
- data sets
- imbalanced datasets
- class imbalance
- imbalanced data
- anomaly detection
- intrusion detection
- minority class
- random sampling
- intrusion detection system
- fraud detection
- training data
- network traffic
- original data
- class distribution
- learning algorithm
- machine learning
- computer networks
- supervised learning
- sampling algorithm
- knowledge discovery
- high dimensional
- data mining