A Network Intrusion Detection Method Inspired by Biological Immunology

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 121-122)

Edited by:

Donald C. Wunsch II, Honghua Tan, Dehuai Zeng, Qi Luo

Pages:

482-485

DOI:

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

Citation:

R. Deng and X. Y. Zhang, "A Network Intrusion Detection Method Inspired by Biological Immunology", Advanced Materials Research, Vols. 121-122, pp. 482-485, 2010

Online since:

June 2010

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Price:

$35.00

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