ICMPv6 Flood Attack Detection using DENFIS Algorithms

Redhwan M  A  Saad; Ammar Almomani; Altyeb Altaher; B  B  Gupta  and Selvakumar Manickam

doi:10.17485/ijst/2014/v7i2.5

Article

ICMPv6 Flood Attack Detection using DENFIS Algorithms

VIEWS 919
PDF 419

Abstract
Full-Text HTML
Full-Text PDF
How to Cite

Indian Journal of Science and Technology

DOI: 10.17485/ijst/2014/v7i2.5

Year: 2014, Volume: 7, Issue: 2, Pages: 168-173

Original Article

ICMPv6 Flood Attack Detection using DENFIS Algorithms

Redhwan M. A. Saad^1*, Ammar Almomani^1,2, 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 work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

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