A Reference Dataset for ICMPv6 Flooding Attacks

摘要

IPv 6 network intrusion detection and particularly anomaly-based approaches suffer from lack of reference datasets to be used for the comparison, deployment and performance evaluation of them. Intrusion Detection Systems (IDSs) use these datasets to evaluate their capabilities for detecting different types of attacks by differentiating between normal and abnormal traffics. A few IPv6 datasets have been proposed for this purpose. However, those datasets are either not publically shared due to privacy issues or focused on only one type of attack messages thus it can be exclusively used to test approaches of this message type. The flooding of ICMPv6 packets is a possible attack can be performed to deny the services of an IPv6 victim. ICMPv6 is one of the most important supported protocols of IPv6 where it has several fundamental functionalities such as; neighbor discovery and router discovery processes. Therefore, this study presents a diverse dataset for several ICMPv6 messages' flooding attacks to be used for the evolution of any proposed detecting solution of such attacks. This dataset contains 14 different ICMPv6 Flooding attacks. This research aims to assist various researchers in testing, evaluating and comparing purposes through sharing the generated datasets.