ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification.

@inproceedings{lin-2022-etbert, author = {Xinjie Lin and Gang Xiong and Gaopeng Gou and Zhen Li and Junzheng Shi and Jing Yu}, editor = {Fr\'{e}d\'{e}rique Laforest and Rapha\"{e}l Troncy and Elena Simperl and Deepak Agarwal and Aristides Gionis and Ivan Herman and Lionel M\'{e}dini}, title = {{ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification}}, booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}}, pages = {633--642}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3485447.3512217}, doi = {https://doi.org/10.1145/3485447.3512217} }