Population-based cooperative artificial lymphocyte model for network intrusion detection

被引：0
|
作者：
An, Hui-Yao [1 ,2 ]
Wu, Ze-Jun [2 ,3 ]
Wang, Xin-An [1 ,2 ]
Wang, Xiu-Yun [1 ,2 ]
机构：
[1] School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China
[2] The Key Laboratory of Integrated Microsystems, Shenzhen Graduate School of Peking University, Shenzhen 518055, China
[3] International Software School, Wuhan University, Wuhan 430079, China
来源：
Tongxin Xuebao/Journal on Communications | 2010年 / 31卷 / 09期
关键词：
Malware - Network security - Intrusion detection - Immune system - Denial-of-service attack;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Co-stimulation mechanism of lymphocytes was introduced to artificial immune system. About the application of network intrusion detection, concerning on three types of dangerous signals, including network-level, host-level and process-level, a novel artificial lymphocyte detection model was described for a targeted process of recognizing Denial of Service attacks, worms and Trojan, and experimental results were obtained. This model verifies cooperative capability of multi-lymphocyted and improved intrusion detection rate of artificial immune system.
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页码：122 / 130
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