Indian Journal of Science and Technology
Year: 2014, Volume: 7, Issue: 2, Pages: 168-173
Redhwan M. A. Saad1*, Ammar Almomani1,2, Altyeb Altaher1 ,B. B. Gupta3 and Selvakumar Manickam1
1National Advanced IPv6 Centre (NAv6), Universiti Sains Malaysia, 11800 USM, Penang, Malaysia
2Dept. of Information Technology, Al-huson University College, Al- Balqa Applied University, 50, Irbid, Jordan
3Department of Computer Engineering, National Institute of Technology Kurukshetra, India
*Author for the correspondence:
Redhwan M. A. Saad
National Advanced IPv6 Centre (NAv6),
Universiti Sains Malaysia, 11800 USM, Penang, Malaysia
E-mail: [email protected]
This paper proposed ICMPv6 Flood Attack Detection using DENFIS algorithms to detect denial of service (DoS) attacks in IPv6 networks. We developed C# application to send the ICMPv6 flood attack packets the flooding packets were generated using different attack rates starting from 1000 Pings to 1500 Pings, and the normal traffic packets were generated using different ping rates starting from 10 Pings to 15 Pings, for each ICMPv6 Packet, RTT was calculated. The dataset consists of 2000 recorded, which divided into two sets: 80% for training and 20% for testing, the proposed proved that we can detect ICMPv6 Flood Attack with low root mean square error which about 0.26.
Keywords: Dynamic Evolving Neural Fuzzy Inference System (DENFIS), Denial of service Attack, ICMPv6
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