A Network Intrusion Detection Method Inspired by Biological Immunology

Rong Deng; Xiu Yin Zhang

doi:10.4028/www.scientific.net/AMR.121-122.482

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 121-122A Network Intrusion Detection Method Inspired by...

A Network Intrusion Detection Method Inspired by Biological Immunology

Abstract:

In this article an Immune Based Intrusion Detection Model (IBIDM) was built to simulate the dynamic relationships between the intrusion antigen intensity and the antibody concentration in the biological immune systems. In IBIDM, traditional detection rules and network traffic patterns are mapped to antibodies and antigens respectively. The network security situation is presented in the form of detector numbers to help reduce false alarm rate. Computer simulations show that the proposed model is effective for intrusion detection.

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Periodical:

Advanced Materials Research (Volumes 121-122)

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482-485

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.121-122.482

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Online since:

June 2010

Authors:

Rong Deng, Xiu Yin Zhang

Keywords:

Artificial Immune, Intrusion Detection, Network Security

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