A novel data-driven integrated detection method for network intrusion classification based on multi-feature imbalanced data.
Chia-Hung WangQing YeJiongbiao CaiYifan SuoShengming LinJinchen YuanXiaojing WuPublished in: J. Intell. Fuzzy Syst. (2024)
Keyphrases
- detection method
- imbalanced data
- multi feature
- image classification
- detection algorithm
- classification models
- class imbalance
- support vector machine
- multi class
- feature selection
- classification accuracy
- text classification
- support vector machine svm
- svm classifier
- machine learning
- support vector
- decision trees
- feature vectors
- training set
- class labels
- ensemble methods
- class distribution
- training data
- machine learning methods
- high dimensionality
- similarity measure
- decision boundary
- ensemble classifier
- image processing
- computer vision