Big Data and Cognitive Computing,
Journal Year:
2024,
Volume and Issue:
8(9), P. 121 - 121
Published: Sept. 12, 2024
The
sensitivity
and
exclusivity
attached
to
personal
health
records
make
such
a
prime
target
for
cyber
intruders,
as
unauthorized
access
causes
unfathomable
repudiation
public
defamation.
In
reality,
most
medical
are
micro-managed
by
different
healthcare
providers,
exposing
them
various
security
issues,
especially
third-party
access.
Over
time,
substantial
progress
has
been
made
in
preventing
this
critical
highly
classified
information.
This
review
investigated
the
mainstream
challenges
associated
with
transmissibility
of
records,
evolutionary
strategies
maintaining
confidentiality,
existential
enablers
trustworthy
transparent
authorization
authentication
before
data
transmission
can
be
carried
out.
adopted
PRSIMA-SPIDER
methodology
systematic
122
articles,
comprising
9
surveys
(7.37%)
qualitative
analysis,
109
technical
papers
(89.34%),
4
online
reports
(3.27%)
quantitative
studies.
outcome
indicates
that
confidentiality
document,
record,
demand
unabridged
owner,
unquestionable
preservation
host,
untainted
transparency
transmission,
unbiased
traceability,
ubiquitous
security,
which
blockchain
technology
guarantees,
although
at
infancy
stage.
Therefore,
developing
blockchain-assisted
frameworks
digital
record
addressing
inherent
technological
hitches
will
further
accelerate
preservation,
user
authorization,
they
transmitted
host
Computers,
Journal Year:
2024,
Volume and Issue:
13(2), P. 41 - 41
Published: Jan. 31, 2024
Health
information
systems
(HISs)
have
immense
value
for
healthcare
institutions,
as
they
provide
secure
storage,
efficient
retrieval,
insightful
analysis,
seamless
exchange,
and
collaborative
sharing
of
patient
health
information.
HISs
are
implemented
to
meet
needs,
well
ensure
the
security
privacy
medical
data,
including
confidentiality,
integrity,
availability,
which
necessary
achieve
high-quality
services.
This
systematic
literature
review
identifies
various
technologies
methods
currently
employed
enhance
data
within
HISs.
Various
been
utilized
information,
such
IoT,
blockchain,
mobile
applications,
cloud
computing,
combined
technologies.
study
also
three
key
aspects,
namely,
access
control,
sharing,
discusses
challenges
faced
in
each
aspect
that
must
be
enhanced
Journal of King Saud University - Computer and Information Sciences,
Journal Year:
2024,
Volume and Issue:
36(2), P. 101939 - 101939
Published: Feb. 1, 2024
Ensuring
robust
security
in
the
Internet
of
Things
(IoT)
landscape
is
paramount
importance.
This
research
article
presents
a
novel
approach
to
enhance
IoT
by
leveraging
collaborative
threat
intelligence
and
integrating
blockchain
technology
with
machine
learning
(ML)
models.
The
iOS
application
acts
as
central
control
centre,
facilitating
reporting
sharing
detected
threats.
shared
data
securely
stored
on
network,
enabling
ML
models
access
learn
from
diverse
range
scenarios.
focuses
implementing
Random
Forest,
Decision
Tree
classifier,
Ensemble,
LSTM,
CNN
IoT23
dataset
within
context
Collaborative
Threat
Intelligence
Framework
for
Security.
Through
an
iterative
process,
models'
accuracy
improved
reducing
false
negatives
through
system.
investigates
implementation
details,
privacy
considerations,
seamless
integration
ML-based
techniques
continuous
model
improvement.
Experimental
evaluations
demonstrate
effectiveness
proposed
system
enhancing
mitigating
potential
contributes
advancement
security,
paving
way
more
secure
reliable
deployments.
Information,
Journal Year:
2024,
Volume and Issue:
15(5), P. 268 - 268
Published: May 9, 2024
Artificial
intelligence
(AI)
and
blockchain
technology
have
emerged
as
increasingly
prevalent
influential
elements
shaping
global
trends
in
Information
Communications
Technology
(ICT).
Namely,
the
synergistic
combination
of
AI
introduces
beneficial,
unique
features
with
potential
to
enhance
performance
efficiency
existing
ICT
systems.
However,
presently,
confluence
these
two
disruptive
technologies
remains
a
rather
nascent
stage,
undergoing
continuous
exploration
study.
In
this
context,
work
at
hand
offers
insight
regarding
most
significant
intersection.
Sixteen
outstanding,
recent
articles
exploring
been
systematically
selected
thoroughly
investigated.
From
them,
fourteen
key
extracted,
including
data
security
privacy,
encryption,
sharing,
decentralized
intelligent
systems,
efficiency,
automated
decision
collective
making,
scalability,
system
security,
transparency,
sustainability,
device
cooperation,
mining
hardware
design.
Moreover,
drawing
upon
related
literature
stemming
from
major
digital
databases,
we
constructed
timeline
technological
convergence
comprising
three
eras:
emerging,
convergence,
application.
For
era,
categorized
pertinent
into
primary
groups:
manipulation,
applicability
legacy
issues.
application
elaborate
on
impact
fusion
perspective
five
distinct
focus
areas,
Internet
Things
applications
cybersecurity,
finance,
energy,
smart
cities.
This
multifaceted,
but
succinct
analysis
is
instrumental
delineating
pinpointing
characteristics
inherent
their
integration.
The
paper
culminates
by
highlighting
prevailing
challenges
unresolved
questions
AI-based
thereby
charting
avenues
for
future
scholarly
inquiry.
Journal of Electrical and Computer Engineering,
Journal Year:
2023,
Volume and Issue:
2023, P. 1 - 30
Published: March 21, 2023
Smart
home
is
a
habitation
that
has
been
outfitted
with
technological
solutions
are
intended
to
provide
people
services
suited
their
needs.
The
purpose
of
this
article
perform
systematic
assessment
the
latest
smart
literature
and
conduct
survey
research
development
conducted
in
field.
In
addition
presenting
complete
picture
current
system’s
(SHS)
characteristics,
paper
provides
deep
insight
into
hardware
trends.
then
moves
on
detailed
discussion
some
important
provided
by
SHS
its
advantages.
also
statistically
discusses
future
trends
SHS,
followed
portrayal
difficulties
roadblocks
implementing
them.
comprehensive
overview
presented
will
help
designers,
researchers,
funding
agencies,
policymakers
have
bird’s-eye
view
overall
concept,
attributes,
aspects,
features
modern
SHSs.
Advances in human and social aspects of technology book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 383 - 404
Published: July 17, 2024
The
healthcare
sector
has
benefited
greatly
from
the
integration
of
AI/ML
with
distributed
technologies
like
edge
computing,
blockchain,
and
Internet
Things
(IoT)
to
address
challenges
data
interoperability,
security,
scalability.
This
synergy
a
major
impact
on
patient
care,
medical
research,
efficiency
system.
techniques
are
used
in
variety
fields,
including
drug
development,
imaging
interpretation,
picture
identification,
predictive
analytics,
sickness
prediction.
relationship
between
technologies—such
as
decentralized
architectures
for
safe
access
real-time
sources,
blockchain
integrity
privacy,
computing
low-latency
processing—is
discussed.
When
combining
dispersed
technology,
business
faces
trends
concerns
related
legal
compliance,
ethical
issues.
International Review of Financial Analysis,
Journal Year:
2024,
Volume and Issue:
93, P. 103181 - 103181
Published: March 13, 2024
This
paper
studies
dynamic
connectedness
between
four
prominent
healthcare
cryptocurrencies,
namely
MediBloc,
MediShares,
Medicalchain,
and
Dentacoin,
bond,
equity,
commodity
markets
along
with
USD
Bitcoin.
The
daily
data
span
from
February
2018
to
April
2023.
We
applied
the
quantile
VAR
method
wavelet
correlation
approach
measure
connectedness.
reveals
a
strengthening
interrelation
among
assets
during
COVID-19
Russia-Ukraine
military
conflict,
while
highlights
existing
diversification
opportunities.
To
test
portfolio
performance,
we
resort
minimum
variance
portfolio,
recently
developed
techniques.
is
best
performing
highest
Sharpe
ratio.
In
addition,
considering
portfolios,
exposure
cryptocurrencies
also
improves
diversification.
Based
on
hedging
effectiveness,
show
that
investment
in
reduces
volatility
for
all
selected
portfolios
though
currently
limited
degree.
However,
investors
are
advised
regularly
monitor
their
asset
allocation
as,
passage
of
time,
strength
attributes
may
change.
Our
study
provides
important
implications
policymakers
managers.
The American Journal of Bioethics,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 16
Published: Nov. 5, 2024
Participation
in
research
is
supposed
to
be
voluntary
and
informed.
Yet
it
difficult
ensure
people
are
adequately
informed
about
the
potential
uses
of
their
biological
materials
when
they
donate
samples
for
future
research.
We
propose
a
novel
consent
framework
which
we
call
"demonstrated
consent"
that
leverages
blockchain
technology
generative
AI
address
this
problem.
In
demonstrated
model,
each
donated
sample
associated
with
unique
non-fungible
token
(NFT)
on
blockchain,
records
its
metadata
information
planned
past
research,
updated
use
sample.
This
accessible
large
language
model
(LLM)
customized
present
an
understandable
interactive
manner.
Thus,
our
technologies
track,
make
available,
explain
regarding
samples.
Frontiers in Digital Health,
Journal Year:
2024,
Volume and Issue:
6
Published: April 26, 2024
Healthcare
is
a
critical
area
where
blockchain
technology
(BT)
being
heralded
as
potential
game-changer
for
facilitating
secure
and
efficient
data
sharing.
The
purpose
of
this
review
to
examine
BT
applications,
performance
challenges,
solutions
in
healthcare.
To
begin,
This
paper
explores
popular
networks
exchange,
encompassing
both
public
permissioned
platforms,
such
Ethereum
Hyperledger
Fabric.
analyzes
the
applications
BT’s
decentralized,
immutable,
smart
contract
capabilities
healthcare
settings,
including
interoperable
health
patient
consent
management,
drug
supply
chain
oversight,
clinical
trial
management.
industry
might
greatly
benefit
from
increased
privacy,
transparency,
accessibility
that
these
technologies
provide.
Despite
promising
medical
uses,
not
without
its
drawbacks.
High
energy
consumption,
throughput,
scalability
are
all
concerns.
We
wrapped
up
by
discussing
have
been
implemented,
consensus
processes,
measures
like
sharding,
off-chain
transactions
designed
mitigate
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Aug. 8, 2024
Abstract
This
study
explores
integrating
blockchain
technology
into
the
Internet
of
Medical
Things
(IoMT)
to
address
security
and
privacy
challenges.
Blockchain’s
transparency,
confidentiality,
decentralization
offer
significant
potential
benefits
in
healthcare
domain.
The
research
examines
various
components,
layers,
protocols,
highlighting
their
role
IoMT.
It
also
IoMT
applications,
challenges,
methods
for
enhance
security.
Blockchain
integration
can
be
vital
securing
managing
this
data
while
preserving
patient
privacy.
opens
up
new
possibilities
healthcare,
medical
research,
management.
results
provide
a
practical
approach
handling
large
amount
from
devices.
strategy
makes
effective
use
resource
fragmentation
encryption
techniques.
is
essential
have
well-defined
standards
norms,
especially
sector,
where
upholding
safety
protecting
confidentiality
information
are
critical.
These
illustrate
that
it
follow
like
HIPAA,
help
ensure
these
criteria
met.
Furthermore,
enhancing
inter-system
communication
industry
maintaining
protection.
highlight
effectiveness
blockchain’s
consistency
cryptographic
techniques
combining
identity
management
protection,
integrity.
an
unchangeable
distributed
ledger
system.
In
short,
paper
provides
important
insights
how
may
transform
by
effectively
addressing
challenges
generating
legal,
safe,
interoperable
solutions.
Researchers,
doctors,
graduate
students
audience
our
paper.
