IEEE Consumer Electronics Magazine - January/February 2024 - 40

Special Section on Security and Privacy-Aware Emerging Computing
& FUTURE COMMUNICATION TECHNOLOGIES, such
as the Internet of Things (IoT) applications in
healthcare are characterized by the ubiquity of
patient wearable devices that perform several
tasks autonomously to analyze and exchange data
in thenetwork.1 Likewise, these applications in collaboration
with emerging edge computing (EEC)
had demonstrated valuable results in addressing
real-world problems. EEC utilized in healthcare IoT
(HC-IoT) applications faces several challenges,
such as latency, quality of service (QoS), reliability
of operations, and security. Among them, security
is the most important factor that inhibits the evergrowing
demand for this technology to gain the
trust of patients, doctors, medical staff, and other
involved stakeholders.2 To maintain the trust of
aforesaid parties, it is imperative to ensure the
security of this newborn technology by mitigating
different types of security attacks, such as jamming
attacks, man-in-the-middle attacks, eavesdropping
attacks, forgery attacks, packet injection
attacks, blackhole attacks, sinkhole attacks, and
manymore.
Besides HC-IoT applications, EEC is working
as a core technology paradigm for several edgecutting
technologies, such as smart grids, the
Internet of everything, unmanned aerial systems,
smart cities, smart homes, and intelligent transportation,
which require high flexibility in
design, implementation, resource management,
task allocations, security policies executions in a
distributed environment.3 The flexibility of the
EEC technology paradigm permits an employed
network to adjust itself to real-time operation by
following defined protocols and parameters to
optimize resource allocation. Herein, we would
like to confine our discussion to the HC-IoT
application's security requirements and challenges.
With this, we will discuss the present literature
associated with the authentication of
patient wearable devices, data privacy, and
security policy implementation in the network
to maintain the trust of all involved stakeholders
and enhance the quality of experience of users
with accurate results.
In the recent past,many leading research groups
have predicted that the artificial intelligence (AI)enabled
EEC technology paradigm could be the
next big " game-changing technology " with a lot of
intelligence and flexibility to resolve numerous
40
real-world problems.4 To exemplify, this technology
will be very useful in the efficient utilization of bandwidth,
transmission latency, and data privacy,
becauseonlynecessary data at theedgesidewould
be analyzed and transmitted in the network. Once,
there is no congestion and computation workload
at the edge devices, the latency shouldbe improved
automatically. Likewise, edge devices will use AIenabled
techniques to detect and prevent anomalies
in the network.
For this reason, the researchers are working
restlessly to investigate the effectiveness of AIenabled
EEC technology paradigm in HC-IoT
applications security by targeting several interconnecting
and communication aspects, such as
channel coding, modulation, routing protocols,
inference management, traffic analysis, firmware
updates and upgrade, slicing, memory caching,
access control, and many more. To familiarize
the readers with the importance and general
introduction of the EEC technology paradigm,
the literature provided many surveys and tutorial
papers to overview the security requirement and
challenges of this technology in the HC-IoT applications.
For instance, Puthal et al.5 presented a
comprehensive discussion on edge computingrelated
technologies in the context of their definitions,
properties, architecture, operation, etc.
Furthermore, the authors also examined the significant
use cases of different EC technology paradigms
to set the background foundation for the
readers, researchers, and industry experts working
in this domain. Nevertheless, the existing
review articles focus on the theory of edge computing
in different applications, which is a wellestablished
phenomenon. Despite this, they also
discussed how this technology had evolved in
many IoT applications and can be useful in the
redressal of real-world practical problem solutions
with wireless communication.
To explore this topic one step ahead, in this
article, we are going to present a detailed survey
regarding AI-enabled secure EEC used in the HCIoT
applications. Following this, we focused on
the limitations of existing literature to highlight
the open security challenges of this emerging
technology. In light of underscored challenges,
we paved a foundation for future research in this
domain. The key contributions of this survey
article are summarized in the following.
IEEE Consumer Electronics Magazine
IEEE Consumer Electronics Magazine - January/February 2024

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