摘要
IP spoofing hinders the efficiency of DDoS defenses. While recent proposals of IP spoofing prevention mechanisms are weak at filtering spoofing packets due to the complexity in maintaining source IP spaces and the low incentive of deployments. To address this problem, we propose an efficient mechanism to extend the range of inter-domain IP spoofing prevention called MASK. Source MASK nodes inform destination MASK nodes about the source IP spaces and labels of their neighbor Stub-ASes in order to implement the marking and verification of packets towards the Stub-ASes, and limit the number of MASK peers through the propagation of BGP updates so as to reduce the overheads of computing and storing of labels. By utilizing the method of extending the spoofing prevention to Stub-ASes, MASK can not only enlarge the domain of the spoofing prevention service, but also filter spoofing packets in advance. Through analysis and simulations, we demonstrate MASK's accuracy and effectiveness.
IP spoofing hinders the efficiency of DDoS defenses. While recent proposals of IP spoofing prevention mechanisms are weak at filtering spoofing packets due to the complexity in maintaining source IP spaces and the low incentive of deployments. To address this problem, we propose an efficient mechanism to extend the range of inter-domain IP spoofing prevention called MASK. Source MASK nodes inform destination MASK nodes about the source IP spaces and labels of their neighbor Stub-ASes in order to implement the marking and verification of packets towards the Stub-ASes, and limit the number of MASK peers through the propagation of BGP updates so as to reduce the overheads of computing and storing of labels. By utilizing the method of extending the spoofing prevention to Stub-ASes, MASK can not only enlarge the domain of the spoofing prevention service, but also filter spoofing packets in advance. Through analysis and simulations, we demonstrate MASK's accuracy and effectiveness.
基金
the National Basic Research Program of China (973 Program) (Grant Nos. 2003CB314802 and 2005CB321801)