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Artificial Intelligence based Techniques for Intrusion Detection System : A Review

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  • Mitava Shah

Abstract

Intrusion Detection systems (IDSs) have previously been built by hand. These systems have adversity successfully classifying intruders, and require a handsome amount of computational overhead making it difficult to create robust real-time IDS systems. Artificial Intelligence techniques (AI) can reduce the human effort required to build these systems and can improve their performance. Network intrusion detection is a serviceable part of an information security system. The rapid increase in the number of different types of attacks has increased the complexity involved in designing an intrusion detection system. In this paper, several AI based techniques used for the development of IDS have been reviewed.

Suggested Citation

  • Mitava Shah, 2017. "Artificial Intelligence based Techniques for Intrusion Detection System : A Review," 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. 2(6), pages 465-468, December.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i6:id:hcseit1726161
    Note: Article URL: https://ijsrcseit.com/CSEIT1726161
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