IEEE Consumer Electronics Magazine - January/February 2024 - 46

Special Section on Security and Privacy-Aware Emerging Computing
applications, the role of blockchain, AI, ML, and
DL cannot be tolerated, because they have the
capability to handle this problem cost effectively.
Keeping in view the capabilities of these technologies,
we believe that the research community and
industry stakeholders should focus on the utilization
of this in EEC technologies to ensure cost
effective key matching process, and a two or
three-way factor authentication process among
the interconnected devices in the network.
CONCLUSION
In this paper, wehave presented a detailed survey
regarding the current literature associated
with the secure EECparadigmto figure out the limitations
of existing studies. In the presence of evaluated
literature and its identified limitations, we
have highlighted the open security challenges of
this emerging technology in the HC-IoT applications
to set a preface for future research. Following
this, we have proffered potential research
directions to address the underscored challenges
in network friendly environment. Furthermore, we
believe that our discussed research directions
could be very useful for securing the EEC paradigm
used in the HC-IoT applications. Therefore,
we suggested the involved stakeholders exercise
them in the future and design a foolproof security
platform for HC-IoT applications to maintain the
trust of patients, healthcare specialists, and other
associated entities.
ACKNOWLEDGMENTS
This work was supported in part by the
Endowed Professorship from the Shenzhen Holdfound
Foundation (to Z. Jin) and in part by the
King Saud University under project number
RSP2023R12 (to M. Khurram Khan).
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