Sensors,
Journal Year:
2024,
Volume and Issue:
25(1), P. 142 - 142
Published: Dec. 29, 2024
The
rise
of
Internet
hospitals
has
significant
issues
associated
with
data
security
and
governance
in
managing
sensitive
patient
data.
This
paper
discusses
an
alliance
blockchain
(i.e.,
a
private
blockchain)
model
for
innovation
internet
improved
encryption
methodology.
We
compare
our
proposed
model,
Rivest–Shamir–Adleman
(RSA)
encryption,
integrated
into
the
framework.
Improved
RSA
achieves
impressive
improvements
all
key
metrics
by
increasing
throughput
24.7%
lowering
latency
19.8%
compared
to
base
model.
Thus,
is
more
optimized
processing
transactions
related
healthcare
Memory
usage
was
also
reduced
14.3%.
While
time
remained
pretty
close,
decryption
remarkably
97.5%.
IoT
sensors
are
one
foundations
that
produce
consistent
streams,
such
as
physiological
environmental
metrics.
enables
secure
efficient
real-time
management
this
sensor
These
results
demonstrate
capability
cryptographic
upgrades
creating
safe
frameworks
hospitals.
Acta Informatica Pragensia,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 18, 2025
Background:The
internet
of
things
(IoT)
has
transformed
healthcare
by
integrating
various
devices
and
systems,
fostering
innovation
in
data
management
operational
efficiency.However,
ensuring
integrity,
security
trust
within
IoT
networks
remains
a
pressing
challenge,
particularly
critical
sectors
such
as
healthcare.Objective:
This
study
aims
to
explore
the
integration
blockchain
technology
with
focusing
on
addressing
scalability
real-time
applicability
issues
management.By
proposing
novel
solutions,
research
seeks
enhance
reliability
systems
environments.Methods:
The
proposed
framework
incorporates
lightweight
raft-based
consensus
protocol
enhanced
cryptographic
measures,
Schnorr
signatures
hashes,
address
existing
limitations
latency.The
architecture
algorithms
for
signature
generation,
encryption,
emergency
state
actions
are
developed
evaluated
through
extensive
simulations
using
NS3
toolkit.
Results:The
simulation
results
validate
effectiveness
approach
improving
systems.The
findings
demonstrate
enhancements
energy
efficiency,
throughput
network
usage,
establishing
potential
revolutionizing
providing
secure,
scalable
efficient
solutions.
Conclusion:The
contributes
advancing
secure
reliable
decentralized
making
use
technology.The
addresses
challenges
offers
practical
benefits
resource
efficiency
system
stability.While
promising,
requires
real-world
testing
further
optimization
overcome
bottlenecks
large-scale
deployments.
Sensors,
Journal Year:
2025,
Volume and Issue:
25(8), P. 2496 - 2496
Published: April 15, 2025
The
advent
of
Tiny
Machine
Learning
(TinyML)
has
unlocked
the
potential
to
deploy
machine
learning
models
on
resource-constrained
edge
devices,
revolutionizing
real-time
monitoring
in
Internet
Medical
Things
(IoMT)
applications.
This
study
introduces
a
novel
approach
electrocardiogram
(ECG)
anomaly
detection
by
integrating
TinyML
with
Artificial
Intelligence
(AI)
low-power
embedded
systems.
We
demonstrate
feasibility
and
effectiveness
deploying
optimized
such
as
Raspberry
Pi
Arduino,
detect
ECG
anomalies,
including
arrhythmias.
proposed
workflow
encompasses
data
preprocessing,
feature
extraction,
model
inference,
all
executed
directly
device,
eliminating
need
for
cloud
resources.
To
address
constraints
memory
power
consumption
wearable
we
applied
advanced
optimization
techniques,
pruning
quantization,
achieving
an
optimal
balance
between
accuracy
resource
utilization.
achieved
92.3%
while
reducing
0.024
mW,
enabling
continuous,
long-term
health
minimal
energy
requirements.
work
highlights
advance
AI
medical
Advances in information security, privacy, and ethics book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 77 - 96
Published: March 28, 2025
Sustainable
urban
water
management
is
crucial
to
address
contamination,
inefficient
distribution,
and
scarcity
issues.
Global
problems
include
the
allocation
of
resources
among
users.
It
imperative
for
nation
keep
an
eye
on
how
various
users
are
utilizing
seawater
put
clever
strategies
into
place
minimize
loss.
Among
technology
that
has
gained
popularity
over
past
several
years
blockchain.
The
potential
use
this
architecture
in
many
different
industries
while
including
innovative
concepts
such
as
crowdsensing,
IoT,
critical
applications,
decision-making
tools
provides
options
methods
creating
contemporary
applications.
This
paper
presents
viewpoints
support
sustainable
management.
suggests
a
solution
based
blockchain
Internet
Things
sensors
accurate
data
reporting
effective
distribution.
Advances in Multidisciplinary & Scientific Research Journal Publication,
Journal Year:
2024,
Volume and Issue:
15(2), P. 45 - 64
Published: May 31, 2024
As
competitive
market
and
globalization
continue
to
ripple
a
range
of
issues
across
the
asset
chain
(i.e.
safety,
quality,
tracing,
overall
management
efficiency).
Pandemics
are
bound
occur
without
warning
has
revealed
unpreparedness
many
nations.
Thus,
Nigerian
Government
aiming
shore
up
revenue/monetization
via
customs
exercise
duties
augment
nosedive
in
revenue
oil
sector
–
must
formulate
policies
adapt
technology
harness
its
inherent
benefits
therein.
Study
advances
sensor-based
blockchain
NiCuSBlockIoT,
which
will
provision
decision-support
scheme
for
cargo
goods
traceability
movement
on
value-chain
by
first
ensuring
that
accurate
records
registered,
tagged
reported
using
units.
These
then
broadcasted
NiCuSBlockIoT
as
record
and/or
blocks
P2P
network
decentralized
framework
executed
distributed
hyper-ledger
fabric
smart-contract
transaction
logic.
Result
show
model
eliminate
fraud
often
accompanies
centralized
sensor-layered
reports
all
such
errors
data
supply
value
chain.
Keywords:
BlockChain,
Food
chain,
Customs
Service,
NISBlockIoT
CISDI
Journal
Reference
Format
Obasuyi,
D.A.,
Yoro,
R.E.,
Okpor,
M.D.,
Ifioki,
A..,
Brizimor,
S..,
Ojugo,
A.A.,
Odiakaose,
C.C.,
Emordi,
F.U.,
Ako,
Geteloma,
V.C.,
Abere,
R.A.,
Atuduhor,
R.R.
&
Akiakeme,
E.
(2024):
NiCuSBlockIoT:
Sensor-based
Cargo
Assets
Management
Traceability
Blockchain
Support
Custom
Services.
Computing,
Information
Systems,
Development
Informatics
Allied
Research
Journal.
Vol
15
No
2,
Pp
45-64.
dx.doi.org/10.22624/AIMS/CISDI/V15N2P4.
Available
online
at
www.isteams.net/cisdijournal
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 18, 2024
Abstract
Healthcare
services
must
fulfill
patients’
desires
for
secure
data
sharing
and
high
accessibility.
Blockchain
technology,
through
blockchain
platforms
(BPs),
can
overcome
healthcare
challenges.
This
study
develops
a
decision-making
methodology
selecting
the
best
BP,
by
integrating
with
IoT
Metaverse,
proposed
approach
ensures
integrity,
quality,
privacy
security,
sharing,
interoperability.
The
uses
multi-criteria
(MCDM)
to
handle
conflicting
criteria.
Two
MCDM
methods
are
used
in
this
study:
CRiteria
Importance
Through
Intercriteria
Correlation
(CRITIC)
weight
computation,
Ranking
of
Alternatives
Weights
Criterion
(RAWEC)
alternative
ranking.
To
deal
uncertainty,
concept
spherical
fuzzy
sets
(SFSs)
is
utilized,
RAWEC
method
extended
under
SFSs
first
time.
applied
case
new
town
Egypt,
considering
twenty-two
criteria
fifteen
alternatives.
results
show
that
performance
criterion
has
highest
weight,
latency
lowest.
sensitivity
analysis
was
conducted
stability
rank.
A
comparative
performed
effectiveness
methodology.
Advances in healthcare information systems and administration book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 211 - 239
Published: July 23, 2024
Blockchain
technology
has
the
potential
to
revolutionize
healthcare
and
medical
industry.
This
chapter
provides
an
in-depth
look
at
how
blockchain
is
transforming
Different
types
of
can
meet
emerging
needs
ecosystem.
briefly
explains
main
features
technology.
Additionally,
various
use
cases
are
discussed,
such
as
patient
monitoring,
insurance
claims,
supply
chain,
etc.,
where
implementation
could
have
impact.
The
ecosystem
involves
a
variety
stakeholders,
each
with
unique
responsibilities.
Therefore,
developing
blockchain-based
applications
should
take
into
account
stakeholders
in
field
discuss
future
prospects
advanced
computing
technologies,
including
artificial
intelligence
(AI),
internet
things
(IoT)
application.
Finally,
advantages,
disadvantages
industry
highlighted.
