一种DRDoS协同防御模型研究  

Study on Collaborative Defence Model of DRDoS

作　　者：张明清[1] 揣迎才[1] 唐俊[1] 孔红山[1] 

机构地区：[1]信息工程大学,郑州450004

出　　处：《计算机科学》2013年第9期99-102,共4页Computer Science

摘　　要：针对现有DRDoS防御方法反应滞后和过滤不全面的问题,基于协同防御思想,提出了一种DRDoS协同防御模型——HCF-AST。该方法通过协同式自学习算法,实现设备间DRDoS防御知识的共享,过滤来自外网的攻击流量;并引入入侵追踪技术,与入侵检测和过滤技术协同,定位并阻断内网攻击源。仿真结果表明,该模型能够及时发现并有效消除来自内外网的DRDoS攻击。According to the defects of existing defence method on response lag and incomprehensive filtering,one collatx^- rative defence model of DRDoS was proposed, based on collaborative defenee theory. A collaborative self-learning algo- rithm was designed, which made it possible to share defence knowledge with other agents and could filter attack flows from external network. Intrusion tracking technology was used, together with intrusion detection and intrusion filtering, attack source in the internal network would be located and blocked. Simulation results show that this model could timely detect and effectively eliminate attack flows from both Internal and external network.

关 键 词：DRDoS攻击 协同防御 自学习 入侵追踪 HCF-AST模型 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]