ai驱动的医疗物联网EEC:安全挑战和未来研究方向

IF 3.7 4区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
M. Adil, M. K. Khan, A. Farouk, M. Jan, Adnan Anwar, Zhanpeng Jin
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引用次数: 1

摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI-Driven EEC for Healthcare IoT: Security Challenges and Future Research Directions
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.
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来源期刊
IEEE Consumer Electronics Magazine
IEEE Consumer Electronics Magazine Computer Science-Hardware and Architecture
CiteScore
10.00
自引率
8.90%
发文量
151
期刊介绍: The scope will cover the following areas that are related to “consumer electronics” and other topics considered of interest to consumer electronics: Video technology, Audio technology, White goods, Home care products, Mobile communications, Gaming, Air care products, Home medical devices, Fitness devices, Home automation & networking devices, Consumer solar technology, Home theater, Digital imaging, In Vehicle technology, Wireless technology, Cable & satellite technology, Home security, Domestic lighting, Human interface, Artificial intelligence, Home computing, Video Technology, Consumer storage technology.
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