A Deterministic Crowding Evolutionary Algorithm for Optimization of a KNN-based Anomaly Intrusion Detection System

Francisco de Toro-Negro, Pedro García Teodoro, Jesús E. Díaz-Verdejo, Gabriel Maciá-Fernández. A Deterministic Crowding Evolutionary Algorithm for Optimization of a KNN-based Anomaly Intrusion Detection System. In Carlos Soares, Yonghong Peng, Jun Meng, Takashi Washio, Zhi-Hua Zhou, editors, Applications of Data Mining in E-Business and Finance. Volume 177 of Frontiers in Artificial Intelligence and Applications, pages 111-120, IOS Press, 2007. [doi]

@inproceedings{Toro-NegroGDM07,
  title = {A Deterministic Crowding Evolutionary Algorithm for Optimization of a KNN-based Anomaly Intrusion Detection System},
  author = {Francisco de Toro-Negro and Pedro García Teodoro and Jesús E. Díaz-Verdejo and Gabriel Maciá-Fernández},
  year = {2007},
  url = {http://www.booksonline.iospress.nl/Content/View.aspx?piid=9900},
  researchr = {https://researchr.org/publication/Toro-NegroGDM07},
  cites = {0},
  citedby = {0},
  pages = {111-120},
  booktitle = {Applications of Data Mining in E-Business and Finance},
  editor = {Carlos Soares and Yonghong Peng and Jun Meng and Takashi Washio and Zhi-Hua Zhou},
  volume = {177},
  series = {Frontiers in Artificial Intelligence and Applications},
  publisher = {IOS Press},
  isbn = {978-1-58603-890-8},
}