Divide, Conquer, and Coalesce: Meta Parallel Graph Neural Network for IoT Intrusion Detection at Scale.
Hua Ding|Lixing Chen|Shenghong Li|Yang Bai|Pan Zhou|Zhe Qu
| Anthology ID: | DBLP:conf/www/DingCLBZQ24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1656-1667 |
| URL: | https://doi.org/10.1145/3589334.3645457 |
| DOI: | https://doi.org/10.1145/3589334.3645457 |
| DBLP: | conf/www/DingCLBZQ24 |
| BibTeX: |
@inproceedings{ding-2024-divide,
author = {Hua Ding and
Lixing Chen and
Shenghong Li and
Yang Bai and
Pan Zhou and
Zhe Qu},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{Divide, Conquer, and Coalesce: Meta Parallel Graph Neural Network for IoT Intrusion Detection at Scale}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {1656--1667},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645457},
doi = {https://doi.org/10.1145/3589334.3645457}
}