ICMPv6 Flood Attack Detection using DENFIS Algorithms
2013; Indian Society for Education and Environment; Volume: 7; Issue: 2 Linguagem: Inglês
10.17485/ijst/2014/v7i2.5
ISSN0974-6846
AutoresRedhwan M. A. Saad, Ammar Almomani, Altyeb Altaher, Brij B. Gupta, Selvakumar Manickam,
Tópico(s)Internet Traffic Analysis and Secure E-voting
ResumoThis 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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