학술논문

AI-Driven EEC for Healthcare IoT: Security Challenges and Future Research Directions
Document Type
Periodical
Source
IEEE Consumer Electronics Magazine IEEE Consumer Electron. Mag. Consumer Electronics Magazine, IEEE. 13(1):39-47 Jan, 2024
Subject
Power, Energy and Industry Applications
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Security
Internet of Medical Things
Authentication
Medical services
Consumer electronics
Data privacy
Stakeholders
Edge computing
Electronic healthcare
Artificial intelligence
Decision making
Language
ISSN
2162-2248
2162-2256
Abstract
Emerging edge computing (EEC) has been introduced as an innovative paradigm for the healthcare applications of the Internet of Things (IoT) that aims to distribute the network resources at the network edges to improve security, communication, and decision-making processes. The operation of healthcare IoT applications typically needs the presence of interoperable modules. Despite numerous benefits, these applications face many security challenges at the network edge. In this context, advanced artificial intelligence (AI) techniques can be used at the network edges for these applications to efficiently utilize the available resources securely. To this end, we aim to present a detailed survey of healthcare IoT applications in the context of AI-enabled EEC technology to identify unresolved security challenges that need attention from the research community and healthcare stakeholders, and then suggest potential research directions to give a clear future insight.