Design of TCP SYN Flood DDoS attack detection using artificial immune systems
Gilang Ramadhan, Yusuf Kurniawan, Changsoo Kim · 2016
TCP Flood DDoS attack is one of the most commonly-used attacks. DDoS has a huge impact on the victim because DDoS attack can multiply the power of attack and makes the victim server unavailable for the normal user. Recently, there are many types of research about DDoS attacks and the detection or mitigation techniques. One of the novel methods to detect DDoS is using dendritic cell algorithm (DCA). DCA is a kind of artificial immune system in the evolutionary algorithm that can be used as an anomaly detection. The DCA is also designed to solve the problem in network intrusion detection. In this paper tries to make a design of TCP Flood DDoS attack detection using artificial immune systems, especially dendritic cell algorithm.