基于信任关联的免疫软件人群体检测模型  

Groups of Immune-softman Intrusion Detection Model Based on Trust correlation

作　　者：周芳[1] 郑雪峰[1] 于真[2] 

机构地区：[1]北京科技大学计算机与通信工程学院,北京100083 [2]北京物资学院信息学院,北京101149

出　　处：《计算机科学》2011年第B10期59-61,共3页Computer Science

基　　金：北京市自然基金项目(4102041)资助

摘　　要：免疫软件人具有自适应性、智能性和协作性,能够对动态的分布式网络进行实时监控。大部分分布式入侵检测系统的实现都会产生大量的报警信息,误报率也较高,影响了入侵检测的效果。针对此问题,将免疫软件人群体检测应用于分布式入侵检测,提出了一种基于信任关联的免疫软件人群体检测方法。实验表明,使用该信任机制可以提高软件人群体入侵报警的检测准确率。The immune-softman is provided with adaptability,intelligence and collaboration,so it is used to monitor distributed dynamic network environment in real time.Most of Distributed Intrusion Detection System will produce large amounts of alarm information and the false-alarm rate is also high,which affects the effectiveness of intrusion detection.To address this issue,groups of immune-softman intrusion detection model based on trust correlation was proposed.Through the trust correlation algorithms the credibility of the Immune-softman producing alarm can be measured.Simulations show that the groups of immune-softman intrusion detection model based on trust correlation can improve the accuracy of intrusion detection alerts.

关 键 词：入侵检测 免疫软件人 关联规则 信任 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]