PacketCGAN: Exploratory Study of Class Imbalance for Encrypted Traffic Classification Using CGAN.
Pan WangShuhang LiFeng YeZixuan WangMoxuan ZhangPublished in: CoRR (2019)
Keyphrases
- class imbalance
- class distribution
- cost sensitive learning
- software defect prediction
- cost sensitive
- imbalanced datasets
- feature extraction
- support vector
- decision trees
- high dimensionality
- classification accuracy
- error rate
- benchmark datasets
- class labels
- machine learning methods
- image classification
- active learning
- feature vectors
- sampling methods
- training set
- imbalanced data
- pattern recognition
- majority class
- imbalanced data sets
- feature selection