Machine Learning for Misuse-Based Network Intrusion Detection: Overview, Unified Evaluation and Feature Choice Comparison Framework

Laurens Le Jeune, Toon Goedemé, Nele Mentens. Machine Learning for Misuse-Based Network Intrusion Detection: Overview, Unified Evaluation and Feature Choice Comparison Framework. IEEE Access, 9:63995-64015, 2021. [doi]

@article{JeuneGM21,
  title = {Machine Learning for Misuse-Based Network Intrusion Detection: Overview, Unified Evaluation and Feature Choice Comparison Framework},
  author = {Laurens Le Jeune and Toon Goedemé and Nele Mentens},
  year = {2021},
  doi = {10.1109/ACCESS.2021.3075066},
  url = {https://doi.org/10.1109/ACCESS.2021.3075066},
  researchr = {https://researchr.org/publication/JeuneGM21},
  cites = {0},
  citedby = {0},
  journal = {IEEE Access},
  volume = {9},
  pages = {63995-64015},
}