Intrusion Detection Systems

  • Kwangjo Kim
  • Muhamad Erza Aminanto
  • Harry Chandra Tanuwidjaja
Part of the SpringerBriefs on Cyber Security Systems and Networks book series (BRIEFSCSSN)


This chapter briefly introduces all the relevant definitions on Intrusion Detection System (IDS), followed by a classification of current IDSs, based on the detection module located and the approach adopted. We also explain and provide examples of one common IDS in research fields, which is machine-learning-based IDS. Then, we discuss an example of IDS using bio-inspired clustering method.


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Copyright information

© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd., part of Springer Nature 2018

Authors and Affiliations

  • Kwangjo Kim
    • 1
  • Muhamad Erza Aminanto
    • 1
  • Harry Chandra Tanuwidjaja
    • 1
  1. 1.School of Computing (SoC)Korea Advanced Institute of Science and TechnologyDaejeonKorea (Republic of)

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