用于网络入侵检测的群体协同人工淋巴细胞模型

Population-based cooperative artificial lymphocyte model for network intrusion detection

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.