AdvTG: An Adversarial Traffic Generation Framework to Deceive DL-Based Malicious Traffic Detection Models.
Peishuai Sun|Xiaochun Yun|Shuhao Li|Tao Yin|Chengxiang Si|Jiang Xie
| Anthology ID: | DBLP:conf/www/SunYLYS025 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 3147-3159 |
| URL: | https://doi.org/10.1145/3696410.3714876 |
| DOI: | https://doi.org/10.1145/3696410.3714876 |
| DBLP: | conf/www/SunYLYS025 |
| BibTeX: |
@inproceedings{sun-2025-advtg,
author = {Peishuai Sun and
Xiaochun Yun and
Shuhao Li and
Tao Yin and
Chengxiang Si and
Jiang Xie},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{AdvTG: An Adversarial Traffic Generation Framework to Deceive DL-Based Malicious Traffic Detection Models}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {3147--3159},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714876},
doi = {https://doi.org/10.1145/3696410.3714876}
}