TRUSTLab dataset: a real-world CICFlowMeter dataset for IoT/edge intrusion detection
Maria-Dolores Cano
IntroductionThIntrusion Detection Systems (IDS) for Internet of Things (IoT) and edge environments require datasets with unambiguous labels, yet existing datasets often mix benign and malicious traffic within the same capture window, producing ambiguous flow labels that may distort model evaluation.MethodsThis work introduces the TRUST Lab dataset, a flow-based traffic collection generated in an operational testbed reproducing enterprise-grade services and modern application interfaces. The data