Explainability-Aware Evaluation of Transfer Learning Models for IoT DDoS Detection Under Resource Constraints
arXiv:2602.22488v2 Announce Type: replace-cross Abstract: Distributed denial of service (DDoS) attacks threaten the availability of Internet of Things (IoT) infrastructures, particularly under resource-constrained deployment conditions. Although transfer learning models have shown promising detection accuracy, their reliability, computational feasibility, and interpretability in operational environments remain insufficiently explored. This study presents an explainability aware empirical evalua…