Network Traffic Classification Based on SD Sampling and Hierarchical Ensemble Learning

Table 1

List of the acronyms used in the manuscript.

Acronym	Definition
SD sampling	Difficult set sampling
SMOTE	Synthetic minority oversampling technique
XGBoost	Extreme gradient boosting
ML	Machine learning
DNN	Deep neural network
DT	Decision tree
SVM	Support vector machine
KNN	K nearest neighbor
GNB	Gaussian naive Bayes
PCA	Principal component analysis
IForest	Isolated forest
LOF	Local outlier factor
U2L	Unix to Linux
R2L	Remote to local
LSTM	Long short-term memory
MIMETIC	Mobile encrypted traffic classification using multimodal deep learning
wGAN-GP	Gradient penalty Wasserstein generative adversarial networks
AUC	Area under the curve
TGAN	Tabular gan
HM-loss	A cost-sensitive method for loss calculation