AI-driven IoT for smart health care: Security and privacy issues

Abstract

The Internet of Things (IoT) has recently brought the dream of a smarter world into an accurate picture with various services and a significant amount of data. With the innovation of smart Multiple Sensorial Media (MulSeMedia) systems, the cloud, and things technologies, "smart health care" is receiving considerable attention from health care communities, industry, government, and academia. The purpose of the present research has been to establish the AI-driven IoT (AIIoT) security and privacy issues and recommend the manner in which all such matters can be adequately addressed. The study employed a qualitative study design in which qualitative information was collected from existing relevant secondary sources. The evidence from the findings shows that the evolution of AI-driven IoT (AIIoT) has added to the significant number of new sensors and devices to the internet, creating an assortment of security and privacy concerns among the users. The study recommends that the current requirement for the AI-driven IoT (AIIoT) is to have certain types of well-defined architecture standards that include interfaces and data models that ensure that the privacy and security of the users are enhanced.