SCAN: Smart Collaborative Attack in Named Data Networking

Named Data Networking is a promising Future Internet Architecture, where consumers fetch contents from the network using unique names. It has in-built security features like data integrity, and data origin authentication as contents are signed by the original producer. Though, NDN's stateful forwarding plane helps to remove some of the existing DDoS attacks in the current IP architecture, still it can face one specific kind of attack called Interest flooding attack (IFA). In this paper, we focus on one variant of IFA where malicious consumers and malicious producers collaboratively launch an attack to degrade the QoS of legitimate consumers. Here we have shown how attackers can intelligently fix the Interest sending rate so that attack goes undetected easily. Simulation results demonstrate that with proper placement of malicious consumers and producers, the attackers can successfully launch the attack with moderate traffic and less number of malicious consumers.