A Model of Detector Generation Based on Immune Recognition and Redundancy Optimization

Ya Ping Jiang; Jun Wei Zhao; Yue Xia Tian

doi:10.4028/www.scientific.net/AMM.457-458.783

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 457-458A Model of Detector Generation Based on Immune...

A Model of Detector Generation Based on Immune Recognition and Redundancy Optimization

Abstract:

The theory of modern immunology provides a novel idea to study network intrusion detection and defense system. With the concepts of self, nonself, close degree and membership in an intrusion detection and prevention system presented in this paper, a model of detector generation based on immune recognition and redundancy optimization is proposed, in which detectors are generated by clone selection, genetic variation and evolutionary algorithm, as well as the improved redundancy optimization algorithm. The simulation experiments show that the model has higher detection rate and lower false detection rate.

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Applied Mechanics and Materials (Volumes 457-458)

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783-787

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.457-458.783

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Online since:

October 2013

Authors:

Ya Ping Jiang, Jun Wei Zhao, Yue Xia Tian

Keywords:

Detector Redundancy, Immune Recognition, Membership, Network Security

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