A Semi-Supervised Anomaly Network Traffic Detection Framework via Multimodal Traffic Information Fusion.
Yu Zheng|Xinglin Lian|Zhangxuan Dang|Chunlei Peng|Chao Yang|Jianfeng Ma
| Anthology ID: | DBLP:conf/cikm/ZhengLDPYM23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4455-4459 |
| URL: | https://doi.org/10.1145/3583780.3615214 |
| DOI: | https://doi.org/10.1145/3583780.3615214 |
| DBLP: | conf/cikm/ZhengLDPYM23 |
| BibTeX: |
@inproceedings{zheng-2023-semisupervised,
author = {Yu Zheng and
Xinglin Lian and
Zhangxuan Dang and
Chunlei Peng and
Chao Yang and
Jianfeng Ma},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{A Semi-Supervised Anomaly Network Traffic Detection Framework via Multimodal Traffic Information Fusion}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {4455--4459},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3615214},
doi = {https://doi.org/10.1145/3583780.3615214}
}