Identifying Interest Flooding in Named Data Networking
Jianqiang Tang, Zhongyue Zhang, Ying Liu, Hongke Zhang · 2013
Named Data Networking (NDN) attracts much attention in the ongoing research area of future Internet. NDN tries to provide better security than current Internet does, and it does introduce some effective mechanisms, such as receiver-driven communication mode. However, a new type of Interest flooding attack emerges in NDN. Since routers in NDN will maintain state for Interests, a plethora of Interests may congest the network or exhaust a router's memory. In this paper, we focus on detecting and identifying Interest flooding. We propose a two-phase detection method to identify the abnormal name prefixes of the flooding Interests. It is useful to identify the flooding name prefixes for further fine-grained Interest flooding countermeasures. Our evaluation through simulations shows that our proposal is effective and accurate to find the abnormal name prefixes, and the identification time is independent of the number of abnormal name prefixes.