Employing Feature Selection to Improve the Performance of Intrusion Detection Systems

Ricardo Ávila, Raphaël Khoury, Christophe Pere, Kobra Khanmohammadi. Employing Feature Selection to Improve the Performance of Intrusion Detection Systems. In Esma Aïmeur, Maryline Laurent, Reda Yaich, Benoît Dupont, Joaquín García-Alfaro, editors, Foundations and Practice of Security - 14th International Symposium, FPS 2021, Paris, France, December 7-10, 2021, Revised Selected Papers. Volume 13291 of Lecture Notes in Computer Science, pages 93-112, Springer, 2021. [doi]

@inproceedings{AvilaKPK21,
  title = {Employing Feature Selection to Improve the Performance of Intrusion Detection Systems},
  author = {Ricardo Ávila and Raphaël Khoury and Christophe Pere and Kobra Khanmohammadi},
  year = {2021},
  doi = {10.1007/978-3-031-08147-7_7},
  url = {https://doi.org/10.1007/978-3-031-08147-7_7},
  researchr = {https://researchr.org/publication/AvilaKPK21},
  cites = {0},
  citedby = {0},
  pages = {93-112},
  booktitle = {Foundations and Practice of Security - 14th International Symposium, FPS 2021, Paris, France, December 7-10, 2021, Revised Selected Papers},
  editor = {Esma Aïmeur and Maryline Laurent and Reda Yaich and Benoît Dupont and Joaquín García-Alfaro},
  volume = {13291},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-08147-7},
}