Efficient Distribution-Derived Features for High-Speed Encrypted Flow Classification.
Johan GarciaTopi KorhonenPublished in: NetAI@SIGCOMM (2018)
Keyphrases
- high speed
- feature vectors
- classification accuracy
- feature extraction
- classification method
- feature set
- classification process
- class labels
- high dimensionality
- extracting features
- pattern recognition
- spatial distribution
- feature construction
- classification models
- automatic classification
- extracted features
- feature space
- feature extraction and classification
- feature analysis
- feature selection algorithms
- gender classification
- feature values
- pattern classification
- discriminative features
- support vector machine svm
- classification algorithm
- real time
- benchmark datasets
- feature selection
- features extraction
- decision tree classifiers
- false positives
- machine learning
- svm classification
- bayesian classifier
- support vector
- irrelevant features
- supervised learning
- text classification
- training samples
- svm classifier
- feature reduction
- feature weights
- textural features
- category labels
- naive bayes classifier
- eeg signals
- image classification
- image features
- support vector machine
- knn
- low level
- active learning
- decision trees
- neural network