Intrusion Detection Technique Based on Improved Intuitionistic Fuzzy Neural Networks

Yang Lei; Jing Ma

doi:10.4028/www.scientific.net/AMM.713-715.2507

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 713-715Intrusion Detection Technique Based on Improved...

Intrusion Detection Technique Based on Improved Intuitionistic Fuzzy Neural Networks

Abstract:

At present, the issue of intrusion detection has been a hot point to all over the computer security area. In this paper, a novel intrusion detection method has been proposed. Unlike the current existent detection methods, this paper combines the theories of both intuitionistic fuzzy sets (IFS) and artificial neural networks (ANN) together, which leads to much fewer iteration numbers, higher detection rates and sufficient stability. Experimental results show that the now method proposed in this paper is promising and has obvious superiorities over other current typical ones.

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Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

2507-2510

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.2507

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Online since:

January 2015

Authors:

Yang Lei*, Jing Ma

Keywords:

Artificial Neural Network (ANN), Intrusion Detection, Intuitionistic Fuzzy Sets

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* - Corresponding Author

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