IEEE Consumer Electronics Magazine - January/February 2024 - 49

such as market risk, operational risks, cyber risks,
liquidity risks, and perceived risks by utilizing several
techniques such as machine learning2,7 and
statistical models.8
The significant weakness of the previous studFIGURE
1. AI risk management model for
cryptocurrencies.
the media, and investors, for some number of
reasons, including but not limited to profitability,
quick transaction speeds that are, and other
technological advantages.2
Security riskmanagement is the continuing process
of identifying security risks and putting strategies
to reduce them. It gives the opportunity to
better comprehend the nature of security threats
and how they interact with people, organizations,
and communities. Authorities and risk managers
should be aware of not only security risks but also
other types of risks such as financial risks, operational
risks, and social risks because these risks
may affect each other. In the literature, some
authors discussed this topic by providing a summary
of current risk management strategies and
highlighting their similarities and differences as
well as assessing current strategies' ability to support
cost-effective decisions without giving up necessary
security. Also, current fundamental risk
management issues are identified based on feedback
from industry and academic literature and
offered potential solutions and research directions
to address the identified issues. Despite decades of
research, the information security risk management
field continues to encounter many difficulties
that make it difficult for risk managers to produce
reliable risk management outcomes.3
For cryptocurrency security risk management,
the goal is to identify all potential threats and provide
effective solutions to increase the security of
digital currencies. Many articles in the literature
concentrate on developing advanced solutions for
cryptocurrency security problems such as blockchain
and explain in details their benefits and concerns.4,5,6
Some other researchers focused on
identifying risks by using different methods as
well as many types of risks have been identified
January/February 2024
iesisthattheydid notinterestinmining threats
based on the perceptions of users especially their
discussions on social media platforms about cryptocurrencies.
Neglecting study the impressions of
digital currencies investors can lead to misunderstanding
about the most urgent issues, which may
affect negatively the security of cryptocurrencies.
Social media has grown to be a well-liked and effective
means of information and communication.
Social media use is widespread today across all facets
of society. According to the Global Digital
Report 2019, there were 3.484 billion social media
users globally in 2019. This figure is growing at a
rate of 9% annually. Social media users may be
encouraged to adopt smart financial instruments
and cryptocurrencies by the use of internet technologies.
Besides, social media can bring a new
wave of evolution for firms and enhance business
intelligence systems especially in cases of risks and
hazards.9,10 In addition, social media is used to
examine security risks by gathering knowledge and
creating best practices to assist businesses in
more successfully addressing socialmedia security
risks. However, many organizations have little or
no social media security policies and are unaware
of how to create such policies and procedures.11
This study looks to cover the gap in previous
studies and utilizes customer behavioral intentions
basedon socialmedia websites towards identifying
and managing threats of cryptocurrencies to
increase security. We propose a model that illustrates
how social media analyses can be used to
forecast people's intentions about the adoption of
cryptocurrencies. To demonstrate the usefulness
of the suggested model, a real-world example and
performancemeasures are provided.
METHODOLOGY
This section includes a new framework that
links risk management, cryptocurrency, social
media Big Data analysis with each other. This
framework includes four stages that are risks identification,
risks assessment, risks control, and risks
monitoring as shown in Figure 1 as follows.
49
IEEE Consumer Electronics Magazine - January/February 2024

Table of Contents for the Digital Edition of IEEE Consumer Electronics Magazine - January/February 2024
