To address these issues, we proposed FeCoGraph, a label-aware federated graph contrastive learning framework for intrusion detection in few-shot scenarios. The line graph is introduced to directly ...

To address this problem, this article proposes a label-driven graph convolutional network (LD-GCN) to excavate substantial information using the inherent correlation of labels from datasets and build ...