TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification.
Haozhen Zhang|Le Yu|Xi Xiao|Qing Li|Francesco Mercaldo|Xiapu Luo|Qixu Liu
| Anthology ID: | DBLP:conf/www/ZhangYXLMLL23 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 |
| Year: | 2023 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 2066-2075 |
| URL: | https://doi.org/10.1145/3543507.3583227 |
| DOI: | https://doi.org/10.1145/3543507.3583227 |
| DBLP: | conf/www/ZhangYXLMLL23 |
| BibTeX: |
@inproceedings{zhang-2023-tfegnn,
author = {Haozhen Zhang and
Le Yu and
Xi Xiao and
Qing Li and
Francesco Mercaldo and
Xiapu Luo and
Qixu Liu},
editor = {Ying Ding and
Jie Tang and
Juan F. Sequeda and
Lora Aroyo and
Carlos Castillo and
Geert-Jan Houben},
title = {{TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification}},
booktitle = {{Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}},
pages = {2066--2075},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3543507.3583227},
doi = {https://doi.org/10.1145/3543507.3583227}
}