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The Scientific World Journal
Volume 2015, Article ID 294761, 14 pages
Research Article

Hybrid Modified -Means with C4.5 for Intrusion Detection Systems in Multiagent Systems

1Data Mining and Optimization Research Group (DMO), Centre for Artificial Intelligence Technology (CAIT), School of Computer Science, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), 43600 Bandar Baru Bangi, Malaysia
2Al-Furat Al-Awsat Technical University, Iraq

Received 21 April 2015; Accepted 2 June 2015

Academic Editor: Nirupam Chakraborti

Copyright © 2015 Wathiq Laftah Al-Yaseen 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.

Citations to this Article [3 citations]

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

  • Rafath Samrin, and D Vasumathi, “Review on anomaly based network intrusion detection system,” 2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT), pp. 141–147, . View at Publisher · View at Google Scholar
  • Wathiq Laftah Al-Yaseen, Zulaiha Ali Othman, and Mohd Zakree Ahmad Nazri, “Real-time Multi-agent System for an Adaptive Intrusion Detection System,” Pattern Recognition Letters, 2016. View at Publisher · View at Google Scholar
  • Arvinder Kaur, Saibal K. Pal, and Amrit Pal Singh, “Hybridization of K-Means and Firefly Algorithm for intrusion detection system,” International Journal of System Assurance Engineering and Management, 2017. View at Publisher · View at Google Scholar