Simulation analysis of intrusion detection system based on genetic attribute reduction algorithm and neural network based on rough set theory

被引:1
作者
Xu, Xin [1 ]
机构
[1] Chongqing Coll Elect Engn, Chongqing, Peoples R China
关键词
Rough set; genetic attribute reduction algorithm; neural network; intrusion detection system;
D O I
10.3233/JIFS-169649
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the network technology development and the current attention to network security, the intrusion detection technology of the network system research has being regarded more important. The previous system intrusion detection section has not been able to meet and adapt to the needs of the current rapid development of the network era. The construction of the framework of intrusion detection system is our primary job. This research adopts the genetic attribute reduction algorithm based on rough set and neural network intrusion detection system simulation analysis, through the simple computer algorithm and system simulation analysis of intrusion mode simulation model establishment. The results show that the study has made great success.
引用
收藏
页码:2937 / 2942
页数:6
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