An Extreme Semi-supervised Framework Based on Transformer for Network Intrusion Detection.

Yangmin Li|Xinhang Yuan|Wengen Li


Anthology ID:DBLP:conf/cikm/LiYL22
Volume:Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
Year:2022
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:4204-4208
URL:https://doi.org/10.1145/3511808.3557549
DOI:https://doi.org/10.1145/3511808.3557549
DBLP:conf/cikm/LiYL22
BibTeX:
@inproceedings{li-2022-extreme, author = {Yangmin Li and Xinhang Yuan and Wengen Li}, editor = {Mohammad Al Hasan and Li Xiong}, title = {{An Extreme Semi-supervised Framework Based on Transformer for Network Intrusion Detection}}, booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}}, pages = {4204--4208}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3511808.3557549}, doi = {https://doi.org/10.1145/3511808.3557549} }