Encrypted Traffic Classification: Combining Over-and Under-Sampling through a PCA-SVM.
Abid SaberBelkacem FerganiMoncef AbbasPublished in: PAIS (2018)
Keyphrases
- support vector machine svm
- support vector
- svm classifier
- support vector machine
- classification method
- svm classification
- feature space
- feature selection
- generalization ability
- classification algorithm
- feature extraction
- feature vectors
- classification accuracy
- dimension reduction
- principal component analysis
- knn
- high classification accuracy
- pattern recognition
- dimension reduction methods
- improves the classification accuracy
- machine learning
- principal components analysis
- training set
- network traffic
- linear discriminant analysis
- partially supervised
- support vector machine classifiers
- image classification
- feature reduction
- principle component analysis
- decision boundary
- text classification
- fold cross validation
- multi class
- feature set
- face recognition
- cost sensitive
- principal components
- pattern classification
- k nearest neighbor
- text classifiers
- decision function
- fisher linear discriminant
- high dimensional
- independent component analysis
- class labels