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A New Approach Based on Honeybee to Improve Intrusion Detection System Using Neural Network and Bees Algorithm

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Software Engineering and Computer Systems (ICSECS 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 181))

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Abstract

A new approach inspired by bees’ defensive behaviour in nature is proposed to improve Intrusion Detection System (IDS). In honeybee colonies, guards discriminate nestmates from non-nestmates at a hive entrance using an approach contains Undesirable-Absent (UA) or Desirable-Present (DP), and Filtering Decision (FD) methods. These methods are used to detect intruder and classify its type. In the proposed approach, the UA detector is responsible for detecting pre-defined attacks based on their attack signatures. Neural network trained by Bees Algorithm (BA) was used to learn the patterns of attacks given in training dataset and use these patterns to find specific attacks in test dataset. The DP detector is responsible for detecting anomalous behaviours based on the trained normal behaviour model. Finally, FD method is used to train the UA detector in real-time to detect new intrusions. The performance of the proposed IDS is evaluated by using KDD’99 dataset, the benchmark dataset used by IDS researchers. The experiments show that the proposed approach is applied successfully and able to detect many different types of intrusions, while maintaining a low false positive rate.

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Author information

Authors and Affiliations

  1. Universiti Sains, Malaysia

    Ghassan Ahmed Ali & Aman Jantan

Authors
  1. Ghassan Ahmed Ali
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  2. Aman Jantan
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Editor information

Editors and Affiliations

  1. Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Gambang, Kuantan, Pahang, Malaysia

    Jasni Mohamad Zain  & Wan Maseri bt Wan Mohd  & 

  2. Information Systems Department, King Saud University, 11543, Riyadh, Saudi Arabia

    Eyas El-Qawasmeh

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© 2011 Springer-Verlag Berlin Heidelberg

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Ali, G.A., Jantan, A. (2011). A New Approach Based on Honeybee to Improve Intrusion Detection System Using Neural Network and Bees Algorithm. In: Zain, J.M., Wan Mohd, W.M.b., El-Qawasmeh, E. (eds) Software Engineering and Computer Systems. ICSECS 2011. Communications in Computer and Information Science, vol 181. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22203-0_65

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  • DOI: https://doi.org/10.1007/978-3-642-22203-0_65

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22202-3

  • Online ISBN: 978-3-642-22203-0

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