Selecting Features for Anomaly Intrusion Detection: A Novel Method using Fuzzy C Means and Decision Tree Classification

Jingping Song, Zhiliang Zhu, Peter Scully, Chris Price. Selecting Features for Anomaly Intrusion Detection: A Novel Method using Fuzzy C Means and Decision Tree Classification. In Guojun Wang, Indrakshi Ray, Dengguo Feng, Muttukrishnan Rajarajan, editors, Cyberspace Safety and Security - 5th International Symposium, CSS 2013, Zhangjiajie, China, November 13-15, 2013, Proceedings. Volume 8300 of Lecture Notes in Computer Science, pages 299-307, Springer, 2013. [doi]

@inproceedings{SongZSP13,
  title = {Selecting Features for Anomaly Intrusion Detection: A Novel Method using Fuzzy C Means and Decision Tree Classification},
  author = {Jingping Song and Zhiliang Zhu and Peter Scully and Chris Price},
  year = {2013},
  doi = {10.1007/978-3-319-03584-0_22},
  url = {http://dx.doi.org/10.1007/978-3-319-03584-0_22},
  researchr = {https://researchr.org/publication/SongZSP13},
  cites = {0},
  citedby = {0},
  pages = {299-307},
  booktitle = {Cyberspace Safety and Security - 5th International Symposium, CSS 2013, Zhangjiajie, China, November 13-15, 2013, Proceedings},
  editor = {Guojun Wang and Indrakshi Ray and Dengguo Feng and Muttukrishnan Rajarajan},
  volume = {8300},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-03583-3},
}