Honeybee-Based Model to Detect Intrusion

  • Authors:
  • Ghassan Ahmed Ali;Aman Jantan;Abdulghani Ali

  • Affiliations:
  • School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia 11800;School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia 11800;School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia 11800

  • Venue:
  • ISA '09 Proceedings of the 3rd International Conference and Workshops on Advances in Information Security and Assurance
  • Year:
  • 2009

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Abstract

This paper proposes a novel approach based on the honeybee model to improve the intrusion detection system. The power of defending the intruder from entering the hive, the effectiveness of exchanging information between the bees and the successfulness of other existing AI approaches that honey bee can be efficiently compared to, have lead us towards analyzing a new area in honeybee concerning security. Most existing systems only detect general and known attacks. Therefore a lot of malicious attacks intrude without any detection. We demonstrate the methods that use HoneybeeGuard in filtration and classification; "undesirable---absent" and "desirable---present", to identify a malicious packet, and detect the known and unknown intruders.