A Network Intrusion Detection Approach Using Extreme Gradient Boosting with Max-Depth Optimization and Feature Selection.
Ghassan Muslim HassanAbdu GumaeiAbed AlanaziSamah M. AlzaninPublished in: Int. J. Interact. Mob. Technol. (2023)
Keyphrases
- network intrusion detection
- gradient boosting
- feature selection
- intrusion detection
- anomaly detection
- fraud detection
- intrusion detection system
- text categorization
- single feature
- network traffic
- loss function
- classification accuracy
- multi task
- feature selection algorithms
- support vector
- bayesian networks
- feature extraction
- model selection
- data sets
- naive bayes
- text classification
- cross validation
- pairwise
- meta learning
- data mining