Improving the Frequency Adaptive Capability of Hybrid Immune Detector Maturation Algorithm

被引：0
|
作者：
Chen, Jungan [1 ]
Zhang, ShaoZhong [1 ]
Chen, Danjiang [1 ]
机构：
[1] Zhejiang Wanli Univ, Elect Informat Dept, Ningbo 315100, Zhejiang, Peoples R China
来源：
ALGORITHMS AND ARCHITECTURES FOR PARALLEL PROCESSING, ICA3PP 2014, PT I | 2014年 / 8630卷
关键词：
Artificial immune system; adaptive capability; hybrid immune detector;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In abnormal detection, the frequency of abnormal activities is changed over the time, so it is reasonable that detection algorithms can be adapted to the frequency's change. In this work, an adaptive mathematic model is proposed to improve the adaptive capability. Then an augmented hybrid immune detector maturation algorithm applied in anomaly detection is presented. Experiment results show the algorithm can be adapted to the frequency's change.
引用
收藏
页码：691 / 699
页数：9
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