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2016 International Conference on Frontiers of Information Technology (FIT) (2016)
Islamabad, Pakistan
Dec. 19, 2016 to Dec. 21, 2016
ISBN: 978-1-5090-5300-1
pp: 72-76
Gilang Ramadhan , School of Electrical Engineering and Informatics, Institut Teknologi Bandung Jalan Ganesha no.10, Bandung, Indonesia
Yusuf Kurniawan , School of Electrical Engineering and Informatics, Institut Teknologi Bandung Jalan Ganesha no.10, Bandung, Indonesia
Chang-Soo Kim , Pukyong National University 45 Yongso-ro, Namgu, Busan, South Korea
ABSTRACT
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.
INDEX TERMS
Transport Layer, Artificial Immune System, Dendritic Cell Algorithm, DDoS
CITATION
Gilang Ramadhan, Yusuf Kurniawan, Chang-Soo Kim, "Design of TCP SYN Flood DDoS attack detection using artificial immune systems", 2016 International Conference on Frontiers of Information Technology (FIT), vol. 00, no. , pp. 72-76, 2016, doi:10.1109/FIT.2016.7857541
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