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Intrusion Detection Systems

  • Kwangjo Kim
  • Muhamad Erza Aminanto
  • Harry Chandra Tanuwidjaja
Chapter
  • 1.8k Downloads
Part of the SpringerBriefs on Cyber Security Systems and Networks book series (BRIEFSCSSN)

Abstract

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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