Edge intelligence case study on medical Internet of Things security

Abstract

MIoT (Medical Internet of Things) systems produced many of sensing data in the world. Consequently, there is a demand of scientific research in this field. Edge intelligence fit in this trends, as one of the developing cutting-edge technology. A systematic approach had been applied on the health informatics edge intelligence devices’ investigation. The observing and recording action that occurs in the process of this research to date had been satisfed. This work had been reported here. The analyzing of the case study data was carried out. Eventually, some results have been summarized based on the investigation. Furthermore, a solution is proposed for the kind of medical edge intelligence device data cyber security problem-solving. Edge intelligence was defined as “the devices available at the edge layer have some limited amount of computing resource which can be utilized and incorporated with machine learning or AI (Artificial intelligence) algorithms to perform RT (real time) data analytics”. Studying more in the category of edge intelligence would influence MIoT system. This survey on edge intelligence had been carried out on investigated recent MIoT, Robot, Raspberry Pi and AV (autonomous vehicle) and so on as edge terminal - edge intelligence devices and the challenges they had encounter. In particular, AI application in edge intelligence device handle medical data security threat. AI face more challenges in edge intelligence computing. In this survey, through some case studies, some advantages and disadvantages had been studied. MIoT edge intelligence device challenges on big data security issues had been discussed.