摘要
为了提高入侵检测系统的网络环境适应能力,提出了一种基于多级免疫检测器集的分布式入侵检测模型。该模型由检测主机、检测子网和中心服务器组成,将入侵检测系统部署在网络的各检测主机中,检测子网具有与上层入侵检测网络相同的特征,中心服务器负责为检测主机和子网提供支持。通过模拟生物免疫系统的免疫细胞,检测主机的免疫检测器进行了学习和进化,该模型利用二级免疫检测器集机制,协同中心服务器的疫苗接收和种痘操作,减少了检测器的数量和提高了检测器的检测能力。
To improve the network environment adaptation ability of intrusion detection, a distributed intrusion detection model based on multi-level immune detector set is presented. The proposed model consists of detection hosts, detection sub-networks and central detection server. Intrusion Detection System (IDS) is deployed in detection hosts. Detection sub-networks have the same features of their superior intrusion detection network. Central detection server provides supports to detect hosts and sub-networks. Through simulating immune cell in biological immune system, immune detectors in detection host learn and evolve. Proposed model utilizes second-level detector set mechanism and cooperates with central detection server operation of vaccines reception and vaccination to decrease the size of detectors and improve the performance of detection.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2007年第6期1179-1182,共4页
Journal of University of Electronic Science and Technology of China
关键词
生物免疫系统
检测主机
免疫检测器
入侵检测
biological immune system
detection host
immune detector
intrusion detection