Publisher
Springer Nature Singapore
Reference40 articles.
1. Hasibi R, Shokri M, Fooladi MDT (2019) Augmentation scheme for dealing with imbalanced network traffic classification using deep learning. arXiv:1901.00204v1
2. Shafiq M, Yu X, Bashir AK, Chaudhry HN, Wang D (2018) A machine learning approach for feature selection traffic classification using security analysis. J Supercomput 74:4867–4892
3. Peng L, Zhang H, Chen Y, Yang Bo (2017) Imbalanced traffic identification using an imbalanced data gravitation-based classification model. Comput Commun 102:177–189
4. Vu L, Bui CT, Nguyen QU (2018) A deep learning based method for handling imbalanced problem in network traffic classification. In: The eighth international symposium, vol 15, pp 3478–3485
5. Tanha J, Abdi Y, Samadi N, Razzaghi N, Asadpour M (2020) Boosting methods for multi class imbalanced data classification: an experimental review. J Big Data 4:6754–6762