Impact of DDoS attack (UDP Flooding) on queuing models

DDoS (Distributed Denial of Service) attacks pose a big threat to the availability of services on the Internet. DDoS degrades the performance of a network; disconnects the host and performs bandwidth depletion and resource depletion attacks. Different queuing algorithms exhibit varying performance during flooding attacks on a network. This paper presents the effect of UDP flooding on the performance of the different queuing algorithms such as Droptail (DT), Random Early Discard (RED), Deficit Round Robin (DRR), Fair Queue (FQ) and Stochastic Fair Queue (SFQ). The study shows that SFQ performs better for UDP traffic as compared to the rest of the queuing techniques.