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} }