摘要
根据入侵检测与人工免疫机理之间的相似性,提出一种基于人工免疫系统的入侵检测分布式代理模型。该模型描述了代理在网络安全中分布式信息和安全防护的应用。提出了一种智能代理的层次式结构及动态进化模型,给出了自我集、抗原、免疫耐受、成熟代理的生命周期及免疫记忆等相应的递归公式。实验证明该模型具有较强的实时处理能力,可以有效地提高网络入侵检测的性能。
A novel model of intrusion detection based on distributed Agents is presented according to the similarity of artificial immune systems and intrusion detection in the paper.Dynamically evaluative equations for self,antigen,immune tolerance,mature-lymphocyte lifecycle and immune memory are presented,and the hierarchical and distributed management framework of the proposed model is built.Furthermore,the application of agents to distributed information and security surveillance in network security.The experimental results show that the proposed model has the features of real-time processing that provide a good solution for network surveillance.
出处
《云南师范大学学报（自然科学版）》
2011年第2期48-51,55,共5页
Journal of Yunnan Normal University:Natural Sciences Edition
基金
国家自然科学基金资助项目(60874113)
漳州师范学院科研项目(SK09006)
关键词
入侵检测
多代理
网络安全
人工免疫
intrusion detection
multi-agents
network security
artificial immune
