Design of Automatic Identification Gateway System for Different IoT Devices and Services
Lee Hyun-seong, Jae‐Gwang Lee, Jae-Pil Lee, Jae-Kwang Lee · 2018
The laboratory safety management system is a system that can predict the risk situation and monitor the safety status. In order to predict and monitor the risk situation of the laboratory, various sensors that can detect various harmful elements are needed. There is an inconvenience because it is possible to check and manage the status of each device only through its own application with different manufacturers. Identification and service identification of each device in a laboratory safety management system to which many sensor devices are connected is an important management, security and operational function. The fingerprinting method is used to identify devices in existing routers or gateways. Recently, research has been conducted on applying a machine learning algorithm to solve the disadvantage of being limited to a known device of a fingerprinting method. However, there is a lack of research on fingerprinting for IoT devices such as sensor devices. In this paper, we propose a system that automatically identifies and services IoT devices in a gateway by applying a machine learning algorithm to the fingerprinting analysis method.