TY - GEN
T1 - AI-Driven EEC for Healthcare IoT
T2 - Security Challenges and Future Research Directions
AU - Adil, Muhammad
AU - Khan, Muhammad Khurram
AU - Farouk, Ahmed
AU - Jan, Mian Ahmad
AU - Anwar, Adnan
AU - Jin, Zhanpeng
N1 - Publisher Copyright:
© 2012 IEEE.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85144774089
U2 - 10.1109/MCE.2022.3226585
DO - 10.1109/MCE.2022.3226585
M3 - Article
AN - SCOPUS:85144774089
SN - 2162-2248
VL - 13
SP - 39
EP - 47
JO - IEEE Consumer Electronics Magazine
JF - IEEE Consumer Electronics Magazine
ER -