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A Data Mining Framework for Intrusion Detection System(IDS) using Bio-Inspired Algorithms

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  • Qamar Rayees Khan
  • Muheet Ahmed Butt

Abstract

The information that acts a backbone for any organization is being managed by the sophisticated Information system (IS) is continuously under threat by the vurnabilities by the intrusion. There is always a need to have a better and proper security mechanism in place so that the effect of the intruders may be minimum and at the same time the information may not get compromised, This paper focus on the novel way of dealing the various Intrusions and proposed a model for the Intrusion Detection Systems (IDS). The use of biological inspired algorithms is used in the model for the optimization in terms of efficiency and accuracy. The proposed model comprises of three important phases (Clustering, Mining and classification) to deal with the threats that may occur in the information systems.

Suggested Citation

  • Qamar Rayees Khan & Muheet Ahmed Butt, 2016. "A Data Mining Framework for Intrusion Detection System(IDS) using Bio-Inspired Algorithms," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 1(3), pages 90-93, December.
    • Handle: RePEc:jbh:ijsrcs:v1:y2016:i3:id:hcseit217234
    Note: Article URL: https://ijsrcseit.com/CSEIT217234
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