Excited to share our latest research paper — “ASEADOS-SDN-IoT: A Novel SDN-IoT Network Intrusion Detection Dataset and Framework” — has been accepted for publication in the Internet of Things journal (Elsevier – Q1, IF – 7.6). This work introduces a publicly available SDN-IoT intrusion detection dataset generated from a hybrid testbed integrating physical IoT devices with SDN control-plane telemetry. The dataset is designed to support reproducible, cross-layer security research in next-generation programmable IoT networks. Looking forward to seeing how this dataset contributes to advancing secure, intelligent SDN-IoT infrastructure!
More details can be found in https://doi.org/10.1016/j.iot.2026.101891.