Using Incremental Mining to Generate Fuzzy Rules for Real-Time Network Intrusion Detection Systems

被引：2
|
作者：
Su, Ming-Yang
Yeh, Sheng-Cheng
Chang, Kai-Chi
Wei, Hua-Fu
机构：
来源：
2008 22ND INTERNATIONAL WORKSHOPS ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS, VOLS 1-3 | 2008年
关键词：
D O I：
10.1109/WAINA.2008.69
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the paper, we propose a fast algorithm to generate fuzzy association rules by incremental mining approach, for which the transactions or data records are online instantly collected from live packets. That is, as one data record is collected online, the latest fuzzy rules can be obtained immediately. According to our simulation, in case of the number of features do not excess twenty, mining process can be completed from several milliseconds to seconds depending on the number of features.
引用
收藏
页码：50 / 55
页数：6
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