Comparative Analysis of DDoS Mitigation Algorithms in SDN

Abstract

Today, Software Defined Network (SDN) is the most popular network architecture. It is one of the famous applications of virtualization. It has completely changed the perspective of the network industry. SDN basically separates the data plane from the control plane providing a centralized control over the network with the help of a controller. Although SDN provides a simplified way to control the network, it is prone to various security attacks such as DoS attacks, Man in the middle attacks etc. One of the most common attack SDN faces is Distributed Denial of Service Attack (DDoS). It attacks the server and disrupts the whole network. Thus, it is very important to detect and mitigate these attacks. There are several approaches in the market to detect and mitigate these attacks. However, there is no significant comparison among these approaches. Hence, in this paper we attempt to replicate the results of two approaches and compare them so as to find the better approach. These approaches are: algorithmic approach and the second is the machine learning approach.