Network Intrusion Classification on the UNSW-NB15 Dataset Using XGBoost Feature Selection Technique.
Uday Chandra AkuthotaLava BhargavaPublished in: iSES (2023)
Keyphrases
- feature selection
- classification accuracy
- feature set
- fold cross validation
- network intrusion
- classification models
- classification algorithm
- decision trees
- support vector
- text classification
- feature space
- naive bayes
- support vector machine
- text categorization
- machine learning
- high dimensionality
- feature extraction
- network intrusion detection
- feature selection algorithms
- model selection
- accurate classification
- multi class
- irrelevant features
- feature ranking
- method for feature selection
- benchmark datasets
- support vector machine svm
- intrusion detection
- pattern recognition
- logistic regression
- classification method
- feature subset
- discriminative features
- supervised learning
- feature vectors
- class labels
- network security
- unsupervised learning
- data processing
- databases