DDoS Attack Detection Based on Self-organizing Mapping Network in Software Defined Networking
Chanchan Zhao, Feng Liu · MATEC Web of Conferences · 2018
The software defined networking is a new kind of network architecture, the programmability of SDN enables hackers to easily launch DDoS attack on the network through software programming. To solve the problem, a DDoS attack detection scheme based on self-organizing mapping network in the software defined networking was proposed. The first is to give an early warning according to the probability of occurrence of Packet_In event. If the threshold value is exceeded, the characteristics of the flow are calculated and the self-organizing mapping network is used for clustering of eigenvalues to finally detect the DDoS attack flow. The experimental results showed that the DDoS attack detection scheme based on self-organizing mapping network was superior to the comparison scheme in detection rate and false alarm rate.