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A Synthetic Dimension Reduction in Intrusion Detection System

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4 Author(s)
Changyou Zhang ; Sch. of Comput. & Inf., Shijiazhuang Railway Inst., Shijiazhuang, China ; Yumei Wang ; Chunhui Piao ; Jiong Yu

In order to improve the performance of Intrusion Detection System (IDS), a synthetic dimension reduction method is proposed in this paper. First of all, we define a similarity distance algorithm between two vectors based on analogy reasoning. Then, the merit of the synthetic dimension reduction is analyzed in a 3-dimension space. Finally, the distances between a new behavior sample which is sniffered from network and behavior sample sets. Finally, using these two distances as ordinate and abscissa, this new behavior sample is mapped into a point in a two-dimensional coordinates plane from a multi-dimensional vector space. According to the location of this point, an behavior can be determined whether it is a intrusion.

Published in:

Security Technology, 2008. SECTECH '08. International Conference on

Date of Conference:

13-15 Dec. 2008