An Immune-inspired Adaptive Automated Intrusion Response System Model

被引：0
|
作者：
Ling-xi Peng
Dong-qing Xie
Ying Gao
Wen-bin Chen
Fu-fang Li
Wu Wen
Jue Wu
机构：
[1] Guangzhou University,Department of Computer and Education software
[2] University of Kentucky,undefined
来源：
International Journal of Computational Intelligence Systems | 2012年 / 5卷
关键词：
artificial immune; network security; automated intrusion response system; intelligent system;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
An immune-inspired adaptive automated intrusion response system model, named as MAIM, is proposed. The descriptions of self, non-self, immunocyte, memory detector, mature detector and immature detector of the network transactions, and the realtime network danger evaluation equations are given. Then, the automated response polices are adaptively performed or adjusted according to the realtime network danger. Thus, MAIM not only accurately evaluates the network attacks, but also greatly reduces the response times and response costs.
引用
收藏
页码：808 / 815
页数：7
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