A NEW APPROACH TO DETECT DDOS ATTACKS USING SUPPORT VECTOR MACHINE
This work was supported by the Ministry of Information Communications, Korea, under the Information Technology Research Center Support Program supervised by the IITA.
The current Internet infrastructure is suffering from various types of Distributed Denial of Service (DDoS) attacks. Internet worms are one of the most crucial problems in the field of computer security today. Worms can be propagated so fast that most Internet services over the world may be disabled by DDoS effects from the self-propagation. In our earlier research, we presented Traffic Rate Analysis (TRA) to analyze the characteristics of network traffic for DDoS attacks. In this research, we propose Support Vector Machine (SVM) approach with TRA to automatically detect DDoS attacks. Experimental results show that SVM can be a highly useful classifier for detecting DDoS attacks.
