摘要
将淋巴细胞的群体刺激机制引入到人工免疫系统中,在网络入侵检测中,关注网络级、主机级和进程级3类危险信号,建立新的人工淋巴细胞检测模型,对拒绝服务式攻击、蠕虫、木马进行混合检测,并获得对比实验结果,从而验证了多淋巴细胞的协同工作能力,提高了人工免疫系统的入侵检测率。
Co-stimulation mechanism of lymphocytes was introdued 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.
出处
《通信学报》
EI
CSCD
北大核心
2010年第9期122-130,共9页
Journal on Communications
基金
国家自然科学基金资助项目(900204011
60673194)
中国博士后科研基金资助项目(200902026
20080440253)
深圳市科技计划基金资助项目(深科信(2008)340号)~~
关键词
入侵检测
人工淋巴细胞
人工免疫系统
群体协同
intrusion detection
artificial lymphocyte model
artificial immune system
population-based cooperation
