Design of Intrusion Detection Model Based on Data Mining Technology

被引：1
|
作者：
Li Yin-huan [1 ]
机构：
[1] Jiangmen Polytech, Jiangmen, Guangdong, Peoples R China
来源：
2012 INTERNATIONAL CONFERENCE ON INDUSTRIAL CONTROL AND ELECTRONICS ENGINEERING (ICICEE) | 2012年
关键词：
FP-Growth algorithm; data mining; intrusion detection;
D O I：
10.1109/ICICEE.2012.156
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper focuses on an improved FP-Growth algorithm. Preprocessing of data mining can increase efficiency on searching the common prefix of node and reduce the time complexity of building FP-tree. Based on the improved FP-Growth algorithm and other data mining techniques, an intrusion detection model is carried out. The experimental results demonstrate effectiveness of the improved algorithm and feasibility of intrusion detection model.
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页码：571 / 574
页数：4
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