@inproceedings{conf/www/LinXGLSY22,
added-at = {2024-05-07T00:00:00.000+0200},
author = {Lin, Xinjie and Xiong, Gang and Gou, Gaopeng and Li, Zhen and Shi, Junzheng and Yu, Jing},
biburl = {https://www.bibsonomy.org/bibtex/21abb193e496c384023658849437d56ed/dblp},
booktitle = {WWW},
crossref = {conf/www/2022},
editor = {Laforest, Frédérique and Troncy, Raphaël and Simperl, Elena and Agarwal, Deepak and Gionis, Aristides and Herman, Ivan and Médini, Lionel},
ee = {https://doi.org/10.1145/3485447.3512217},
interhash = {adf253eab3fc93178c45ec71c75491af},
intrahash = {1abb193e496c384023658849437d56ed},
isbn = {978-1-4503-9096-5},
keywords = {dblp},
pages = {633-642},
publisher = {ACM},
timestamp = {2024-05-13T08:47:36.000+0200},
title = {ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification.},
url = {http://dblp.uni-trier.de/db/conf/www/www2022.html#LinXGLSY22},
year = 2022
}