IDOS6-ICMPV6 BASED DDOS ATTACK DATASET

Future IPv6-based networks face a significant security challenge with ICMPv6 communications. An attacker uses ICMPV6 messages to saturate the target system and aims to implement a Denial of Service (DoS) or Distributed Denial of Service (DDoS) attack. A robust intrusion detection system is being developed by researchers to address these issues. Researchers have access to a restricted number of IPv6 datasets to construct a well-known intrusion detection system, however these datasets are not accessible to the public and only target on one kind of attack. In this study, we primarily concentrate on the development of a benchmark dataset that is labelled and reflects ICMPv6 traffic for intrusion detection systems which focus on DoS/DDoS assaults under IPv6. The proposed datasets met the requirements for a high-quality, diversified dataset, and their online accessibility ensures that researchers could apply the dataset for experimentations. Using a GNS3 network simulation tool, an IPv6 network is simulated and ICMPv6 traffic is produced for the dataset. [18]. The developed traffic comprises of both normal and attack ICMPv6 traffic, and the attack traffic in our dataset consists of 17 different attacks based on information from message flooding packets for Router Advertisement, Router Solicitation, Neighbor Advertisement, and Neighbor Solicitation.