ABSTRACT
The widespread development of Internet of Things (IoT) technology has introduced numerous wearable Internet-Protocol (IP)-based devices and smart wireless sensors that can obtain and analyze various real-world data from their human user. Deploying these wearable intelligent devices has not left the healthcare area inattentive. IoT health applications are well recognized for their value of helping us to track our health status so that early warnings of potential issues can be identified so that we can make changes to improve certain aspects of our health. But on the same level, trust, privacy, and security concerns arise and pose significant importance because of the interconnectivity of such medical devices. Expressly, the growing list of cybersecurity flaws and vulnerabilities in health devices represent challenging risks to patients whose privacy or health management depends on the idle functionality of these instruments. This chapter presents a forensic study of the most state of the art security and privacy risks, challenges, and conceptual issues in IoT healthcare, in general. A full security assessment and trust comparison of various already studied security models, and frameworks for IoT healthcare is being illustrated together with future security and privacy recommendations for IoT eHealth.
