Intrusion Detection Method Based on Sparse Expression for SVM

Xian Ping Yu; Sheng Wu; Hai Ling Xiong

doi:10.4028/www.scientific.net/AMM.602-605.1606

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Intrusion Detection Method Based on Sparse...

Intrusion Detection Method Based on Sparse Expression for SVM

Abstract:

This paper presents an intrusion detection method based on the sparse SVM (support vector machines). This algorithm is to achieve sparse expression for the network data by constructing a sparse base, which could reduce the number of data to be processed, and then use the SVM algorithm to carry out the classification, thus achieving the efficient intrusion detection for the network access behavior.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

1606-1609

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.1606

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Online since:

August 2014

Authors:

Xian Ping Yu*, Sheng Wu, Hai Ling Xiong

Keywords:

Intrusion Detection, Sparse Dictionary, Sparse Representation, SVM

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* - Corresponding Author

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