Association rule mining in DoS attack detection and defense in the application of network

被引：0

作者：

Zheng, Jigang ^{[1
]}

Zhang, Jingmei ^{[2
]}

机构：

[1] Baoshan Coll, Dept Math, Baoshan 678000, Yunnan, Peoples R China

[2] Lib Baoshan Coll, Baoshan 678000, Yunnan, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT, INFORMATION AND MEDICINE (EMIM 2015) | 2015年 / 8卷

关键词：

Association rule; Intrusion detection; Data mining; Characteristic attribute; KDDCup99;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Association rule mining is widely used in network intrusion detection,an important feature of attribute extraction of KDDCup99 data set of denial of service attack records,for the association rules mining association rules between different attributes with the help of Weka,the intrusion detection and prevention of further study has reference significance.Mining association rules reflect the relationship between different attributes,the establishment of the intrusion detection system is effective and adaptive for the next step,has a very broad application prospects.

引用

页码：445 / 449

页数：5