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Applied Computational Intelligence and Soft Computing
Volume 2012 (2012), Article ID 850160, 20 pages
Review Article

The Use of Artificial-Intelligence-Based Ensembles for Intrusion Detection: A Review

1Department of Computer Application, Shaheed Bhagat Singh State Technical Campus, Ferozepur, Punjab 152004, India
2Department of Computer Science & Engineering, Punjab Institute of Technology, Kapurthala, Punjab 144601, India

Received 4 April 2012; Accepted 11 July 2012

Academic Editor: Farid Melgani

Copyright © 2012 Gulshan Kumar and Krishan Kumar. 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.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Gulshan Kumar, and Krishan Kumar, “Design of an Evolutionary Approach for Intrusion Detection,” The Scientific World Journal, vol. 2013, pp. 1–14, 2013. View at Publisher · View at Google Scholar
  • Mohammad Ali Zolfigol, Roya Ayazi-Nasrabadi, and Saeed Baghery, “The first urea-based ionic liquid-stabilized magnetic nanoparticles: an efficient catalyst for the synthesis of bis(indolyl)methanes and pyrano[2,3-d],” Applied Organometallic Chemistry, vol. 30, no. 5, pp. 273–281, 2016. View at Publisher · View at Google Scholar