Application of Generalized Regression Neural Network in Cloud Security Intrusion Detection

被引：1
|
作者：
Gao, Feng [1 ]
机构：
[1] Chongqing Univ Arts & Sci, Dept Software Engn, Chongqing, Peoples R China
来源：
2017 INTERNATIONAL CONFERENCE ON ROBOTS & INTELLIGENT SYSTEM (ICRIS) | 2017年
关键词：
generalized regression neural network; cloud security; intrusion detection;
D O I：
10.1109/ICRIS.2017.21
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
By using generalized regression neural network clustering analysis, effective clustering of five kinds of network intrusion behavior modes is carried out. First of all, intrusion data is divided into five categories by making use of fuzzy C means clustering algorithm. Then, the samples that are closet to the center of each class in the clustering results are taken as the clustering training samples of generalized neural network for the data training, and the results output by the training are the individual owned invasion category. The experimental results showed that the new algorithm has higher classification accuracy of network intrusion ways, which can provide more reliable data support for the prevention of the network intrusion.
引用
收藏
页码：54 / 57
页数：4
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