Parallel Ranking Assist against Distributed Reflection Denial of Service Attack

Distributed Reflection Denial of Service is the recent iteration in the series of Denial of Service attacks. It works similar to Distributed Denial of Service, in that it uses many sources to attack one victim and the attacker hides behind the zombies. In this paper, we concentrate on assisting the nodes of network during the DRDoS attack, by using detection algorithm to detect the attack whenever a suspicious flow is noticed and then by proper analysis of the network we can find the attack free path which can be used by the nodes in the network. We use Rank Correlation based Detection algorithm which helps to find whether the network is experiencing a channel failure or is under attack. Once the attack is detected, the attack path and source are multicast to all nodes, so that the nodes in the network can avoid any traffic from them, thus reducing the effect of DRDoS attack for a specified period of time.