Technique for Denial-of-Service Intrusion Detection Using Non-Subsampled Shearlet Transform

Yang Lei; Jing Ma

doi:10.4028/www.scientific.net/AMM.713-715.2515

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 713-715Technique for Denial-of-Service Intrusion...

Technique for Denial-of-Service Intrusion Detection Using Non-Subsampled Shearlet Transform

Abstract:

In this paper, an efficient anomaly analysis method that is proved to be more efficient and less complex than the existing techniques has been proposed. The approach relies on monitoring the security state by using a set of accurate metrics. The Non-Subsampled Shearlet Transform (NSST) is used to decompose these metrics. Attacks are viewed as singularities that arise in some specific points of time. Therefore, the anomaly detection process is performed through processing the signals representing the metrics. Experimental results indicate that the proposed technique is effective and promising.

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Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

2515-2518

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.2515

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Online since:

January 2015

Authors:

Yang Lei*, Jing Ma

Keywords:

Denial of Service, Intrusion Detection, Non-Subsampled Shearlet Transform

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* - Corresponding Author

References

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