摘要
将人工免疫原理与高速网络分流技术结合,提出了一种基于免疫原理的高速网络入侵防御算法.在对阴性选择算法改进基础上引入疫苗算子和选择算子,降低了系统二次免疫应答时间,增强了系统抗体库自我学习能力,进而改善了系统的实时性和高效性.在分析了高速网络分流技术和改进阴性选择算法的基础上,建立了基于免疫原理的高速网络入侵防御系统.仿真结果证明了该算法的有效性.
A new method is proposed against the limited capacity in making real-time intrusion prevention efficiently for high-speed network,that is the intrusion prevension algorithm based on immune principle,combining of the artificial immune principle and data-distribution technology.In the research on negative selection algorithm,the vaccine operator and positive selection operator are introduced to the algorithm.Owing to the new algorithm,self-learning ability of antibody bank gets enhanced and the time needed for secondary response is reduced,so that the efficiency of system gets greatly improved.After the analysis of data-distribution technology and negative selection algorithm,the intrusion prevension system based on immune principle is established.Simulation results show the effectiveness of the algorithm.
出处
《微电子学与计算机》
CSCD
北大核心
2011年第5期109-112,117,共5页
Microelectronics & Computer
基金
江苏省教育厅
江苏科技大学课题(2005DX006J)
关键词
入侵防御
人工免疫理论
疫苗算子
选择算子
intrusion prevention
artificial immune theory
vaccine operator
selection operator
