DDoS Attack Detection and Mitigation Using Mininet and RYU Controller in SDN Environment

In today’s digital era, where Internet-connected devices are becoming more prevalent, DDoS attacks remain a significant concern for network infrastructure security. Software-Defined Networking (SDN) emerges as a promising solution to bolster network security through centralized control and adaptable network management strategies. This paper outlines an innovative method for detecting and countering DDoS attacks within SDN by utilizing machine learning technologies. This proposed framework capitalizes on the agility and programmability of SDN to collect data on network traffic from diverse network components. Furthermore, to combat DDoS threats promptly, this framework seamlessly integrates with SDN controllers to dynamically adjust network policies based on the severity of detected threats. In this RYU controller is used as SDN control and Mininet is used to observe the network setup. By utilizing programmable network switches, suspicious traffic streams can be rerouted to specialized scrubbing centres for further scrutiny and filtration, while legitimate traffic maintains uninterrupted flow. Detection module is successfully detecting the Ddos attack and Using mitigation module the attacker port is blocked.