Dataset and Code for Protecting communication and computing systems against poisoning attacks for Cloud Edge-Based Federated Learning System

Because of its significance and extensive usage, the KDDCUP'99 dataset is used in our edge-based intrusion detection study. The abundance of attack types and scenarios included, together with the extensive feature set and large instance repository, make this dataset an invaluable addition to the discipline. When comparing and contrasting different intrusion detection systems and approaches, this statistic is essential. The following investigation will shed light on the difficulties and restrictions imposed by the KDDCUP'99 dataset. These difficulties are exacerbated by the following factors: the age of the underlying network environment, the existence of unnecessary and uninformative characteristics, the prevalence of mislabelled instances, and the inherent bias in class distribution