An immunity-based model for network intrusion detection

Yanchao Zhang, Xirong Que, Wendong Wang, Shiduan Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations


Network intrusion detection is one of the most popular research topics. Existing network-based intrusion detection systems have drawbacks in many aspects, among of which the two outstanding problems are the high ratio of false alarms and the lack of self-adaptation. An overview of the human immune system is presented and its salient features that can contribute to the design of competent network-based IDS are analyzed. Then a network-based intrusion detection model is described, which is inspired by the human immune system, and its characteristics are analyzed in full.

Original languageEnglish (US)
Title of host publication2001 International Conferences on Info-Tech and Info-Net: A Key to Better Life, ICII 2001 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)0780370104, 9780780370104
StatePublished - 2001
Externally publishedYes
EventInternational Conferences on Info-Tech and Info-Net, ICII 2001 - Beijing, China
Duration: Oct 29 2001Nov 1 2001


OtherInternational Conferences on Info-Tech and Info-Net, ICII 2001


  • detector
  • human immune system
  • intrusion detection

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing
  • Computers in Earth Sciences
  • Control and Systems Engineering
  • Instrumentation


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