Decision-forest voting scheme for classification of rare classes in network intrusion detection.
Jan BrabecLukás MachlicaPublished in: CoRR (2021)
Keyphrases
- network intrusion detection
- decision forest
- voting scheme
- majority voting
- classification accuracy
- decision trees
- fraud detection
- rare class
- intrusion detection
- anomaly detection
- ensemble classifier
- neural network
- support vector
- support vector machine
- machine learning
- cost sensitive
- feature space
- model selection
- image classification
- machine learning methods
- feature vectors
- data sets
- text classification
- data mining
- feature extraction
- classification rules
- social network analysis
- training samples
- unsupervised learning