2 papers
cs.NI2026
Maintaining IoT Device Identification under Concept Drift via Budget-Aware Traffic Labeling
Shayan Azizi, Norihiro Okui, Masataka Nakahara +3
Identification of IoT device types from passive traffic is increasingly used for security management in enterprise and ISP networks. However, the performance of machine learning-ba…
cs.LG2026
Generalizable IoT Traffic Representations for Cross-Network Device Identification
Arunan Sivanathan, David Warren, Deepak Mishra +8
Machine learning models have demonstrated strong performance in classifying network traffic and identifying Internet-of-Things (IoT) devices, enabling operators to discover and man…