Risks,
Journal Year:
2024,
Volume and Issue:
12(12), P. 206 - 206
Published: Dec. 19, 2024
In
the
evolving
landscape
of
cybersecurity,
traditional
information
technology
(IT)
infrastructures
often
struggle
to
meet
demands
modern
risk
management
frameworks,
which
require
enhanced
security,
scalability,
and
analytical
capabilities.
This
paper
proposes
a
novel
artificial
intelligence
(AI)–driven
IT
infrastructure
backed
by
blockchain
technology,
specifically
designed
optimize
processes
in
diverse
organizational
environments.
By
leveraging
for
predictive
analytics,
anomaly
detection,
data-driven
decision-making,
combined
with
blockchain’s
secure
immutable
ledger
data
integrity
transparency,
proposed
offers
robust
solution
existing
challenges
management.
The
is
adaptable
scalable
support
variety
methodologies,
providing
more
secure,
efficient,
intelligent
system.
findings
highlight
significant
improvements
accuracy,
speed,
reliability
management,
underscoring
infrastructure’s
capability
proactively
address
emerging
cyber
threats.
To
ensure
model
effectively
addresses
most
critical
issues,
Decision-Making
Trial
Evaluation
Laboratory
(DEMATEL)
technique
will
be
used
analyze
evaluate
interrelationships
among
factors.
approach
evaluates
impacts
these
factors,
verifying
model’s
comprehensiveness
managing
risk.
study
lays
foundation
future
research
aimed
at
refining
AI-driven
exploring
their
broader
applications
enhancing
cybersecurity.
Electronics,
Journal Year:
2023,
Volume and Issue:
12(3), P. 546 - 546
Published: Jan. 20, 2023
Blockchain
technology
provides
a
data
structure
with
inherent
security
properties
that
include
cryptography,
decentralization,
and
consensus,
which
ensure
trust
in
transactions.
It
covers
widely
applicable
usages,
such
as
intelligent
manufacturing,
finance,
the
Internet
of
things
(IoT),
medicine
health,
many
different
areas,
especially
medical
health
privacy
protection
areas.
Its
natural
attributes,
contracts
consensus
mechanisms,
have
leading-edge
advantages
protecting
confidentiality,
integrity,
availability.
The
issues
are
gradually
revealed
in-depth
research
vigorous
development.
Unlike
traditional
paper
storage
methods,
modern
records
stored
electronically.
provided
decentralized
solution
to
trust-less
between
distrusting
parties
without
third-party
guarantees,
but
“trust-less”
through
was
easily
misunderstood
hindered
differences
public
private
blockchains
appropriately.
mentioned
disadvantages
motivated
us
provide
an
advancement
comprehensive
study
regarding
applicability
blockchain
technology.
This
focuses
on
healthcare
sorts
out
risks
six
layers
by
comparing
analyzing
existing
measures.
also
explores
defines
attacks
challenges
when
applying
technology,
promotes
theoretical
robust
protocol
development
current
future
distributed
work
environment.
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(2), P. 675 - 675
Published: Jan. 12, 2024
Integrating
Artificial
Intelligence
(AI)
in
healthcare
represents
a
transformative
shift
with
substantial
potential
for
enhancing
patient
care.
This
paper
critically
examines
this
integration,
confronting
significant
ethical,
legal,
and
technological
challenges,
particularly
privacy,
decision-making
autonomy,
data
integrity.
A
structured
exploration
of
these
issues
focuses
on
Differential
Privacy
as
critical
method
preserving
confidentiality
AI-driven
systems.
We
analyze
the
balance
between
privacy
preservation
practical
utility
data,
emphasizing
effectiveness
encryption,
Privacy,
mixed-model
approaches.
The
navigates
complex
ethical
legal
frameworks
essential
AI
integration
healthcare.
comprehensively
examine
rights
nuances
informed
consent,
along
challenges
harmonizing
advanced
technologies
like
blockchain
General
Data
Protection
Regulation
(GDPR).
issue
algorithmic
bias
is
also
explored,
underscoring
urgent
need
effective
detection
mitigation
strategies
to
build
trust.
evolving
roles
decentralized
sharing,
regulatory
frameworks,
agency
are
discussed
depth.
Advocating
an
interdisciplinary,
multi-stakeholder
approach
responsive
governance,
aims
align
principles,
prioritize
patient-centered
outcomes,
steer
towards
responsible
equitable
enhancements
International Journal of Human-Computer Interaction,
Journal Year:
2023,
Volume and Issue:
40(17), P. 4873 - 4886
Published: June 27, 2023
The
Metaverse,
a
hypothetical
virtual
space
where
people
interact
with
digital
environments,
has
gained
attention
as
transformative
concept
in
various
industries
like
education,
healthcare,
and
business.
However,
comprehensive
understanding
of
the
Metaverse's
research
landscape
future
prospects
is
essential
to
guide
further
exploration
decision-making
this
dynamic
field.
On
basis
preliminary
analysis
existing
literature,
bibliometric
Metaverse
anticipated
reveal
number
themes
that
span
vast
spectrum
its
applications.
objective
provide
overview
current
state
by
analyzing
past
present
trends
predicting
directions.
collected
928
journal
articles
from
Web
Science
database
using
methods.
Through
co-citation
co-word
analysis,
study
identifies
most
influential
publications,
outlines
knowledge
structure,
forecasts
developments.
identified
four
distinct
clusters
for
co-citations
five
analysis.
Despite
growing
importance
aspects
human
life,
more
scholarly
efforts
are
required
landscape.
This
article
provides
illuminating
insight
into
expanding
field
applications
life.
concludes
explanation
perspectives
on
field's
development.
first
structure
via
science
mapping
methodology.
Applied Sciences,
Journal Year:
2023,
Volume and Issue:
13(2), P. 686 - 686
Published: Jan. 4, 2023
A
supply
chain
(SC)
is
a
network
of
interests,
information,
and
materials
involved
in
processes
that
produce
value
for
customers.
The
implementation
blockchain
technology
SC
management
healthcare
has
had
results.
This
review
aims
to
summarize
how
been
used
address
challenges
healthcare,
specifically
drugs,
medical
devices
(DMDs),
blood,
organs,
tissues
(BOTs).
systematic
was
conducted
by
following
the
PRISMA
guidelines
searching
PubMed
Proquest
databases.
English-language
studies
were
included,
while
non-primary
studies,
as
well
surveys,
excluded.
After
full-text
assessment,
28
articles
met
criteria
inclusion.
Of
these,
15
(54%)
classified
simulation
12
(43%)
theoretical,
only
one
real
case
study.
Most
(n
=
23,
82%)
included
adoption
smart
contracts.
findings
this
indicated
significant
but
immature
interest
topic,
with
diverse
ideas
methodologies,
without
effective
real-life
applications.
Artificial Intelligence in Medicine,
Journal Year:
2023,
Volume and Issue:
144, P. 102658 - 102658
Published: Sept. 4, 2023
Artificial
intelligence
(AI)
offers
opportunities
but
also
challenges
for
biomedical
research
and
healthcare.
This
position
paper
shares
the
results
of
international
conference
"Fair
medicine
AI"
(online
3-5
March
2021).
Scholars
from
science
technology
studies
(STS),
gender
studies,
ethics
formulated
opportunities,
challenges,
development
desiderata
AI
in
systems
solutions,
which
are
being
rapidly
developed
applied,
may
have
undesirable
unintended
consequences
including
risk
perpetuating
health
inequalities
marginalized
groups.
Socially
robust
implications
healthcare
require
urgent
investigation.
There
is
a
particular
dearth
human-AI
interaction
how
this
best
be
configured
to
dependably
deliver
safe,
effective
equitable
To
address
these
we
need
establish
diverse
interdisciplinary
teams
equipped
develop
apply
medical
fair,
accountable
transparent
manner.
We
formulate
importance
social
perspectives
intersectionally
beneficent
healthcare,
part
by
strengthening
evaluation.
Electronics,
Journal Year:
2023,
Volume and Issue:
12(18), P. 3800 - 3800
Published: Sept. 8, 2023
If
we
look
at
the
chronology
of
transitions
between
successive
stages
industrialization,
it
is
impossible
not
to
notice
a
significant
acceleration.
There
were
100
years
industrial
revolutions
from
2.0
3.0,
and
only
half
century
passed
conventional
3.0
4.0.
Assuming
that
progress
will
inevitably
continue
accelerate,
given
2011
set
date
for
start
fourth
revolution,
can
expect
Industry
5.0
by
2035.
In
recent
years,
Industrial
Internet
Things
(IIoT)
applications
proliferated,
which
include
multiple
network
elements
connected
wired
wireless
communication
technologies,
as
well
sensors
actuators
placed
in
strategic
locations.
The
pace
development
industry
advantages
predicting
threats
infrastructure
be
related
speed
analyzing
huge
amount
data
on
collected
locally,
but
globally.
This
article
sheds
light
potential
role
artificial
intelligence
(AI)
techniques,
including
machine
learning
(ML)
deep
(DL),
significantly
impact
IIoT
cyber
threat
prediction
5.0.
Sustainability,
Journal Year:
2022,
Volume and Issue:
15(1), P. 735 - 735
Published: Dec. 31, 2022
The
wide
use
of
internet-enabled
devices
has
not
left
the
healthcare
sector
untouched.
health
status
each
individual
is
being
monitored
irrespective
his/her
medical
conditions.
advent
such
beneficial
only
for
patients
but
also
physicians,
hospitals,
and
insurance
companies.
It
makes
fast,
reliable,
hassle-free.
People
can
keep
an
eye
on
their
blood
pressure,
pulse
rate,
etc.,
thus
take
preventive
measures
own.
In
too,
Internet
Things
(IoT)
deployed
various
tasks
as
monitoring
oxygen
sugar
levels,
electrocardiograms
(ECGs),
etc.
IoT
in
reduces
cost
ailments
through
fast
rigorous
data
analysis.
prediction
diseases
machine-learning
techniques
based
symptoms
become
a
promising
concept.
There
may
be
situation
where
real-time
analysis
required.
latency-sensitive
situation,
fog
computing
plays
vital
role.
Establishing
communication
every
time
with
cloud
required
introduction
latency
reduced.
Healthcare
application
area.
So,
deployment
this
area
importance.
Our
work
focuses
improving
efficiency
system
precise
diagnosis
recommendations
heart
disease.
evaluates
using
module.
As
the
healthcare
industry
increasingly
relies
on
digital
technology
and
Internet
of
Things
(IoT)
to
improve
patient
care
streamline
operations,
vulnerability
ransomware
attacks
has
become
a
significant
concern.
In
response
this
pressing
issue,
we
present
SFMR-SH
(Secure
Framework
for
Mitigating
Ransomware
Attacks
in
Smart
Healthcare),
groundbreaking
approach
that
integrates
IoT
devices
with
blockchain
fortify
data
security.
leverages
blockchain's
inherent
properties,
including
immutability
transparency,
create
an
impervious
fortress
sensitive
data.
Through
comprehensive
simulations
employing
machine
learning
algorithms
(KNN,
SVM,
Random
Forest,
Gradient
Boosting,
XGB),
assess
framework's
ability
detect
mitigate
attacks.
Results
underscore
effectiveness,
achieving
impressive
detection
accuracy
99.33%.
This
research
represents
stride
fortifying
smart
systems,
providing
secure
environment
amid
escalating
threat
landscape,
ensuring
uninterrupted
delivery
vital
services.
Our
findings
highlight
exceptional
promise
revolutionizing
security,
safeguarding
privacy,
future
systems
digitalized
landscape.
Healthcare,
Journal Year:
2024,
Volume and Issue:
12(3), P. 345 - 345
Published: Jan. 30, 2024
A
number
of
recent
studies
have
shown
that
wastage
and
inefficiency
are
a
significant
problem
in
all
global
healthcare
systems.
One
initiative
could
radically
improve
the
operational
efficiency
health
systems
is
to
make
paradigm
shift
data
ownership—that
is,
transition
such
patient-centric
model
management
by
deploying
blockchain
technology.
Such
development
would
not
only
an
economic
impact,
cutting
wastage,
but
deliver
social
benefits
improving
patient
outcomes
satisfaction.
However,
blockchain-based
solution
presents
considerable
challenges.
This
research
seeks
understand
principal
factors,
which
act
as
barriers
acceptance
infrastructure,
GCC
(Gulf
Cooperation
Council)
countries.
The
study
represents
addition
current
literature
examining
perspectives
views
professionals
users.
approach
rare
within
this
subject
area,
identified
existing
systematic
reviews
gap:
qualitative
investigation
motivations
attitudes
among
these
groups
critical
need.
results
12
key
infrastructures,
thereby
adding
our
understanding
challenges
need
be
overcome
order
benefit
from
relatively
expected
use
authorities
planning
way
forward
for
system
improvement,
particularly
terms
successfully
introducing
