AN ADAPTIVE MODEL FOR DETECTING DDOS ATTACK ON IPV4 AND IPV6
Samuel Towoju Alabi · 2018
As the Internet is growing so is the vulnerability of the network. Denial of Service attacks (DDoS) are one of such kind of attacks. In this paper, one of the more popular DDoS attack is the TCP-SYN Flood attack. The SYN flooding attacks are launched by exploiting the TCP’s three-way handshake mechanism and its limitation in maintaining its half-opened connections on internet protocols IPv4 and IPv6. This study is aimed in the detection of DDOS attack with neuro-fuzzy algorithm combination of fuzzy logic and neural network (ANFIS). To simulate this project research MATLAB 2012a software which is a programming language and environment for scientific computing. The result of comparison showed that the ANFIS model to the ANFIS has more accuracy in detecting DDoS in Internet Protocol (IPv4 and IPv6).