Grey self-organizing map based intrusion detection

被引：5
|
作者：
Wang Chun-dong [1 ,2 ]
Yu He-feng [1 ,2 ]
Wang Huai-bin [1 ,2 ]
机构：
[1] Tianjin Univ Technol, Sch Comp Sci & Technol, Tianjin 300191, Peoples R China
[2] Tianjin Key Lab Intelligence Comp & Novel Softwar, Tianjin 300191, Peoples R China
来源：
OPTOELECTRONICS LETTERS | 2009年 / 5卷 / 01期
关键词：
D O I：
10.1007/s11801-009-8142-7
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
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.
引用
收藏
页码：64 / 68
页数：5
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