Helios: Learning and Adaptation of Matching Rules for Continual In-Network Malicious Traffic Detection.
Zhenning Shi|Dan Zhao|Yijia Zhu|Guorui Xie|Qing Li|Yong Jiang
| Anthology ID: | DBLP:conf/www/Shi0ZX0025 |
|---|---|
| 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: | 2319-2329 |
| URL: | https://doi.org/10.1145/3696410.3714742 |
| DOI: | https://doi.org/10.1145/3696410.3714742 |
| DBLP: | conf/www/Shi0ZX0025 |
| BibTeX: |
@inproceedings{shi-2025-helios,
author = {Zhenning Shi and
Dan Zhao and
Yijia Zhu and
Guorui Xie and
Qing Li and
Yong Jiang},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Helios: Learning and Adaptation of Matching Rules for Continual In-Network Malicious Traffic Detection}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {2319--2329},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714742},
doi = {https://doi.org/10.1145/3696410.3714742}
}