Privacy and Security Aspects of AI Related to IoT in Healthcare Industry

Abstract

The “Global network architecture” known as the “Internet of Things” connects real-world and digital things by utilizing data collection and communication tools. Today’s Internet of Things (IoT) connects a variety of IP-based communication-capable devices, including sensors, to the Internet. IoT in the healthcare sector offers alternatives for distant surveillance, early detection, and medical treatment for institutionalized handicapped individuals. Persons or things can have sensors, actuators, RFID tags, and other IoT components attached to them. Caregiver access is made easier by such tools and tags. For example, IoT applications can read, recognize, locate, and control RFID tags on patients’ or patients’ personal equipment. The potential exists for the healthcare sector to reconsider current practices done thanks to IoT, but doing so will be extremely tough. Connecting it will be difficult to manage all the different systems in the healthcare setting. There will also constantly be inquiries concerning how these gadgets are secured in terms of security. So, in this paper, we can able to understand the different types of layers which are in the IoT architecture. So, in healthcare, there are many issues happening, so to solve the issues, we are using many tools. There are some challenges that the IoT faces in the health care industry, such as scalability, mobility, etc. Even though we are concerned about the tools, applications, and methods, the security and the privacy aspects are the most attention needed. Thus, this chapter covers understanding the applications, tools, and privacy aspects of IoT in health care.

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