DDoS Detection in SDN Switches using Support Vector Machine Classifier

Compared with traditional network, Software Defined network (SDN) technology contains data plane, control plane and application plane. The control plane centralized controls multiple switches instead of only one switch. Therefore, SDN has more security requirements. The existing network security equipment already can no longer adapt to the environment of SDN. Distributed Denial-of-Service Attacks (DDoS) is one of the most major threats. DDoS detection is necessary for SDN switches. Support vector machine (SVM) classification technology is widely used in various fields. In this article, we will detect DDoS attacks using SVM optimized parameter c and g with cross validation-genetic algorithm (CV-GA). The experiments show that CV-GA-SVM classification performs better than others.