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A New Negative Selection Algorithm for Adaptive Network Intrusion Detection System

Author

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  • Chikh Ramdane

    (Sétif 1 University, Sétif, Algeria)

  • Salim Chikhi

    (MISC Laboratory, Constantine 2 University, Constantine, Algeria)

Abstract

Negative Selection Algorithm (NSA) is one of the widely used techniques for Intrusion Detection Systems (IDS) designing. In this paper, the proposed is an IDS based on a new model of NSA namely HNSA-IDSA (Hybrid NSA for Intrusion Detection System Adaptation). The proposed system can detect unknown attacks; moreover can be adapted automatically when new profiles' changes of the system are detected. To determine the efficiency of the proposed approach, the standard KDD99 dataset was used for performing experiments. The obtained results show that the authors' mechanism outperforms some literature techniques providing variant important properties as high detection rate, low false positive, adaptability and new attacks detection.

Suggested Citation

  • Chikh Ramdane & Salim Chikhi, 2014. "A New Negative Selection Algorithm for Adaptive Network Intrusion Detection System," International Journal of Information Security and Privacy (IJISP), IGI Global, vol. 8(4), pages 1-25, October.
    • Handle: RePEc:igg:jisp00:v:8:y:2014:i:4:p:1-25
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    Cited by:

    1. Sabrine Ennaji & Nabil El Akkad & Khalid Haddouch, 2023. "i-2NIDS Novel Intelligent Intrusion Detection Approach for a Strong Network Security," International Journal of Information Security and Privacy (IJISP), IGI Global, vol. 17(1), pages 1-17, January.
    2. Kuldeep Singh & Lakhwinder Kaur & Raman Maini, 2022. "A survey of intrusion detection techniques based on negative selection algorithm," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 175-185, March.

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