An Investigation Into the Performance of Non-contrastive Self-supervised Learning Methods for Network Intrusion Detection

Hamed Fard, Tobias Schalau, Gerhard Wunder. An Investigation Into the Performance of Non-contrastive Self-supervised Learning Methods for Network Intrusion Detection. In Sokratis K. Katsikas, Christos Xenakis, Christos Kalloniatis, Costas Lambrinoudakis, editors, Information and Communications Security - 26th International Conference, ICICS 2024, Mytilene, Greece, August 26-28, 2024, Proceedings, Part I. Volume 15056 of Lecture Notes in Computer Science, pages 208-227, Springer, 2024. [doi]

@inproceedings{FardSW24,
  title = {An Investigation Into the Performance of Non-contrastive Self-supervised Learning Methods for Network Intrusion Detection},
  author = {Hamed Fard and Tobias Schalau and Gerhard Wunder},
  year = {2024},
  doi = {10.1007/978-981-97-8798-2_11},
  url = {https://doi.org/10.1007/978-981-97-8798-2_11},
  researchr = {https://researchr.org/publication/FardSW24},
  cites = {0},
  citedby = {0},
  pages = {208-227},
  booktitle = {Information and Communications Security - 26th International Conference, ICICS 2024, Mytilene, Greece, August 26-28, 2024, Proceedings, Part I},
  editor = {Sokratis K. Katsikas and Christos Xenakis and Christos Kalloniatis and Costas Lambrinoudakis},
  volume = {15056},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-981-97-8798-2},
}