Robust Few-Shot Malware Detection in IoT via ACL on Heterogeneous Behavior Graphs
The proliferation of Internet of Things (IoT) devices has expanded the attack surface for sophisticated, polymorphic malware. Traditional intrusion detection systems (IDSs) and standard graph neural networks (GNNs) struggle with the heterogeneity of IoT traffic, adversarial structural perturbations, and the scarcity of...