Xue Li Yuan’an Liu,Shulan Li / Beijing University of Posts and Telecommunications
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 Attack (DDoS) is one of the most major threats. DDoS detection is necessary for SDN switches. Support vector machine (SVM) classification identification technology is widely used in various fields. In this article, we will detect DDoS attack using SVM witch has optimized parameter c and g with cross validation- genetic algorithm (CV-GA). The experiments show that CV-GA-SVM performs better classification than others.