INTERNET OF THINGS (IOT) MEDICAL SECURITY: TAXONOMY AND PERCEPTION

Abstract

With technology advances, IoT applications are proliferating in the medical field. Integration of endpoint devices, sensors, communications, and applications is leading to improved data availability and tools to manage positive healthcare outcomes. However, in healthcare failures and security leaks can damage or be lethal to patients and jeopardize trust in providers and health care organizations. This study empirically develops an IoT Medical taxonomy with implications for categorizing and matching IoT security in the healthcare field to users by: (1) identifying the characteristics of IoT security and (2) describing and testing users’ perceptions. The research analyzes the users’ perceptions of IoT Medical security in terms of the fundamental issues such as confidentiality, integrity, availability, authentication, authorization, and audit. In addition to the proposed taxonomy of IoT Medical security, we summarize the key security factors influencing the users making the decision to use IoT. The study will help improve IoT security architecture design, IoT product development, and inform decision-making on IoT medical technology.