An Improved Grey Self-Organizing Map Based DOS Detection

被引：0
|
作者：
Chen, Rui [1 ]
Wei, Jin-yu [1 ]
Yu, He-feng [2 ]
机构：
[1] Tianjin Univ Technol, Dept Management Sci & Engn, Tianjin 300191, Peoples R China
[2] Tianjin Univ Technol, Dept Comp Sci & Technol, Tianjin 300191, Peoples R China
来源：
2008 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2 | 2008年
关键词：
Deny of Service (DOS); SOM; Grey Theory; Gray Correlation Coefficient;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, an improved Grey Self-Organizing Map (GSOM) model is proposed and applied in the detection of Deny of Service (DOS) attack. For detection of the DOS attacks, this improved 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 improved GSOM model.
引用
收藏
页码：172 / +
页数：2
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