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} }