Detection of DDOS Attack using Decision Tree Classifier in SDN Environment

• DOI: 10.36548/jucct.2023.2.006
• Publication Date: 2023-07-01T07:30:59Z
• Authors: Nithish Babu S; Yogesh V; Mariswaran S; Gowtham N
• Keywords: Forwarding plane

Software Defined Networking (SDN) is a dynamic architecture that employs variety of applications for making networks more adaptable and centrally controlled. It easy to attack the entire network in SDN because control plane data are separated. DDoS major danger service providers it can shut down stop services all customers at any time. One key flaws most architectures lack susceptibility attacks with its types like TCP flooding, UDP SYN ICMP flooding DHCP detecting those kinds attacks. The machine learning algorithms widely used recent years identify This research utilizes Decision Tree Classifier detection classification on SDN. Forward Feature Selection technique also select best features from dataset employed train test model by Algorithm. decision supervised method forecast desired values observations using rudimentary rules derived training data. Based accuracy tree techniques, future, hybrid will be designed Distributed Denial Services an environment high low false negative rate.