Abstract: According to the defects of existing defence method on response lag and incomprehensive filtering,one collabo-rative defence model of DRDoS was proposed,based on collaborative defence theory.A collaborative self-learning algorithm 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.

Key words: DRDoS attack,Collaborative defence,Self-learning,Intrusion tracking,HCF-AST model