Grey self-organizing map based intrusion detection

Chun-dong Wang , He-feng Yu , Huai-bin Wang

Optoelectronics Letters ›› 2009, Vol. 5 ›› Issue (1) : 64 -68.

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Optoelectronics Letters ›› 2009, Vol. 5 ›› Issue (1) : 64 -68. DOI: 10.1007/s11801-009-8142-7
Optoelectronics Letters

Grey self-organizing map based intrusion detection

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Abstract

Grey self-organizing map (GSOM) model is proposed and applied in the detection of intrusion. Through the improvement of the weight adjustment using the GRC (grey relational coefficient), the training results of SOM get better. In the detection of deny of service (DOS) attacks, this model can consider the relativity of the data set of DOS attacks. Finally, the experiments on the DOS data set confirm their validities and feasibilities over this GSOM model.

Keywords

Weight Vector / Intrusion Detection / Input Pattern / Learning Rule / Grey Relational Coefficient

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Chun-dong Wang, He-feng Yu, Huai-bin Wang. Grey self-organizing map based intrusion detection. Optoelectronics Letters, 2009, 5(1): 64-68 DOI:10.1007/s11801-009-8142-7

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