IoT Device Labeling Using Large Language Models

arXiv:2403.01586v1 Announce Type: new
Abstract: The IoT market is diverse and characterized by a multitude of vendors that support different device functions (e.g., speaker, camera, vacuum cleaner, etc.). Within this market, IoT security and observability systems use real-time identification techniques to manage these devices effectively. Most existing IoT identification solutions employ machine learning techniques that assume the IoT device, labeled by both its vendor and function, was observed during their training phase. We tackle a key challenge in IoT labeling: …

arxiv camera cs.cr cs.ni device devices effectively etc functions identification iot iot device iot security labeling language language models large machine machine learning manage market observability real security solutions speaker support systems techniques vacuum vendors