Research on the Novel Computer Network Intrusion Detection Model based on Improved Particle Swarm Optimization Algorithm

被引:0
|
作者
Fu, Juan [1 ]
Hu, Hai [1 ]
Wang, Leping [1 ]
机构
[1] Nanchang Univ, Gongqing Coll, Gongqing City 332020, Jiangxi, Peoples R China
关键词
Particle Swarm Optimization; Intrusion Detection; Algorithm; Computer Network;
D O I
暂无
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
In this paper, we conduct research on the novel computer network intrusion detection model based on improved particle swarm optimization algorithm. TCP flood attack, UDP flood attack, ICMP flood attack, deformity of message attack, the application layer attack is the most typical DDOS attacks, DDOS attacks are also changing to upgrade at the same time, scholars research on DDOS attack defense measures become more and more has the application value and basic practical significance. Network security protection is a comprehensive project, no matter what measures to take that safety is always relative, so as the network security administrator, should change with the network security situation and the security requirements, moderate to adjust security policies, so as to achieve the target. Under this basis, we propose the new perspective on the IDS system that will then enhance the robustness and safetiness of the overall network system.
引用
收藏
页码:138 / 143
页数:6
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