Intrusion Detection Method Based on Improved Growing Hierarchical Self-Organizing Map

被引：0
作者：
张亚平 [1 ]
布文秀 [1 ]
苏畅 [1 ]
王璐瑶 [1 ]
许涵 [2 ]
机构：
[1] School of Software,Tianjin University
[2] School of Mathematical Science,Nankai University
来源：
Transactions of Tianjin University | 2016年 / 04期
关键词：
growing hierarchical self-organizing map(GHSOM); hierarchical structure; mutual information; intrusion detection; network security;
D O I：
暂无
中图分类号：
TP393.08 [];
学科分类号：
0839 ; 1402 ;
摘要：
Considering that growing hierarchical self-organizing map(GHSOM) ignores the influence of individual component in sample vector analysis, and its accurate rate in detecting unknown network attacks is relatively lower, an improved GHSOM method combined with mutual information is proposed. After theoretical analysis, experiments are conducted to illustrate the effectiveness of the proposed method by accurately clustering the input data. Based on different clusters, the complex relationship within the data can be revealed effectively.
引用
收藏
页码：334 / 338
页数：5
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