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

Yangmin Li 0002, Xinhang Yuan, Wengen Li. An Extreme Semi-supervised Framework Based on Transformer for Network Intrusion Detection. In Mohammad Al Hasan, Li Xiong 0001, editors, Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022. pages 4204-4208, ACM, 2022. [doi]

@inproceedings{LiYL22-14,
  title = {An Extreme Semi-supervised Framework Based on Transformer for Network Intrusion Detection},
  author = {Yangmin Li 0002 and Xinhang Yuan and Wengen Li},
  year = {2022},
  doi = {10.1145/3511808.3557549},
  url = {https://doi.org/10.1145/3511808.3557549},
  researchr = {https://researchr.org/publication/LiYL22-14},
  cites = {0},
  citedby = {0},
  pages = {4204-4208},
  booktitle = {Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022},
  editor = {Mohammad Al Hasan and Li Xiong 0001},
  publisher = {ACM},
  isbn = {978-1-4503-9236-5},
}