ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification.
Xinjie LinGang XiongGaopeng GouZhen LiJunzheng ShiJing YuPublished in: CoRR (2022)
Keyphrases
- training set
- training phase
- training process
- supervised learning
- classification algorithm
- training samples
- classification accuracy
- feature vectors
- robust classification
- image classification
- pattern recognition
- classification scheme
- pattern classification
- feature extraction
- decision trees
- classification performances
- feature selection
- classification method
- image representation
- preprocessing
- neural network
- benchmark datasets
- classification models
- training examples
- traffic flow
- automatic classification
- feature representation
- classification systems
- hidden markov models
- multi layer perceptron
- discriminative training