Journal of Information Security

Vol.7 No.3(2016), Paper ID 65359, 12 pages

DOI:10.4236/jis.2016.73009

 

Feature Selection for Intrusion Detection Using Random Forest

 

Md. Al Mehedi Hasan, Mohammed Nasser, Shamim Ahmad, Khademul Islam Molla

 

Department of Computer Science & Engineering, University of Rajshahi, Rajshahi, Bangladesh
Department of Computer Science & Engineering, University of Rajshahi, Rajshahi, Bangladesh
Department of Computer Science & Engineering, University of Rajshahi, Rajshahi, Bangladesh
Department of Computer Science & Engineering, University of Rajshahi, Rajshahi, Bangladesh

 

Copyright © 2016 Md. Al Mehedi Hasan, Mohammed Nasser, Shamim Ahmad, Khademul Islam Molla et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article


Hasan, M. , Nasser, M. , Ahmad, S. and Molla, K. (2016) Feature Selection for Intrusion Detection Using Random Forest. Journal of Information Security, 7, 129-140. doi: 10.4236/jis.2016.73009.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.