Simulation of DDoS Attack in Software Defined Networking

This paper aims to propose an approach to detecting attacks against the controller of software-defined networking (SDN) that use distributed denial (problems) of service (DDoS). As SDN is a popular model for managing and controlling network traffic, it has become a prime target for attackers seeking to disrupt the network. The central SDN controller serves as the network's brain in the control plane. The goal of this separation is to make resources more manageable, secure, and controllable. But still these networks are becoming target of lethal threats such as DDoS attacks and still it is an open issue to detect and mitigate such attacks. In this paper, we use methods to identify DDoS attacks on SDN controller i.e., ODL (OpenDaylight). These methods are based on network traffic analysis. Specifically, especially here we utilize Ubuntu, Mininet, and Wireshark to make, host, and detect attacks on SDN controller. To evaluate the effectiveness of our approach, we conducted experiments using a simulated SDN network environment and DDoS attack is transmission control protocol synchronization (TCP SYN). The findings show that our method can effectively and efficiently identify DDoS attacks with low erroneous rates, thus offering a potential option for increasing the safeguards of SDN networks.