Advances in information security, privacy, and ethics book series,
Год журнала:
2024,
Номер
unknown, С. 148 - 171
Опубликована: Фев. 2, 2024
The
emergence
of
the
internet
things
(IoT)
has
revolutionized
many
sectors
economy,
including
logistics
and
supply
chain
management.
By
seamlessly
integrating
IoT
into
operations,
real-time
tracking
monitoring
shipments
becomes
a
reality,
optimizing
routes
equipment
performance
breeze.
Accordingly,
operations
have
become
streamlined
like
never
before.
This
study
delves
various
perspectives,
applications,
challenges
deploying
in
industry,
offering
comprehensive
overview
for
stakeholders,
researchers,
students
alike.
With
potential
improved
efficiency,
effectiveness,
sustainability,
benefits
are
undeniable.
authors
highlight
future
directions
this
exciting
field
learn
how
shapes
we
do
business.
AIMS Public Health,
Год журнала:
2024,
Номер
11(1), С. 58 - 109
Опубликована: Янв. 1, 2024
<abstract>
<p>In
recent
years,
machine
learning
(ML)
and
deep
(DL)
have
been
the
leading
approaches
to
solving
various
challenges,
such
as
disease
predictions,
drug
discovery,
medical
image
analysis,
etc.,
in
intelligent
healthcare
applications.
Further,
given
current
progress
fields
of
ML
DL,
there
exists
promising
potential
for
both
provide
support
realm
healthcare.
This
study
offered
an
exhaustive
survey
on
DL
system,
concentrating
vital
state
art
features,
integration
benefits,
applications,
prospects
future
guidelines.
To
conduct
research,
we
found
most
prominent
journal
conference
databases
using
distinct
keywords
discover
scholarly
consequences.
First,
furnished
along
with
cutting-edge
ML-DL-based
analysis
smart
a
compendious
manner.
Next,
integrated
advancement
services
including
ML-healthcare,
DL-healthcare,
ML-DL-healthcare.
We
then
DL-based
applications
industry.
Eventually,
emphasized
research
disputes
recommendations
further
studies
based
our
observations.</p>
</abstract>
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Март 4, 2024
Abstract
During
the
COVID-19
pandemic,
there
has
been
a
significant
increase
in
use
of
internet
resources
for
accessing
medical
care,
resulting
development
and
advancement
Internet
Medical
Things
(IoMT).
This
technology
utilizes
range
equipment
testing
software
to
broadcast
patient
results
over
internet,
hence
enabling
provision
remote
healthcare
services.
Nevertheless,
preservation
privacy
security
realm
online
communication
continues
provide
pressing
obstacle.
Blockchain
shown
potential
mitigate
apprehensions
across
several
sectors,
such
as
industry.
Recent
advancements
research
have
included
intelligent
agents
monitoring
systems
by
integrating
blockchain
technology.
However,
conventional
network
configuration
agent
introduces
level
complexity.
In
order
address
this
disparity,
we
present
proposed
architectural
framework
that
combines
defined
networking
(SDN)
with
is
specially
tailored
purpose
facilitating
within
context
5G
environment.
The
design
contains
patient-centric
(PCA)
inside
SDN
control
plane
managing
user
data
on
behalf
patients.
appropriate
handling
ensured
PCA
via
essential
instructions
forwarding
devices.
suggested
model
assessed
using
hyperledger
fabric
docker-engine,
its
performance
compared
current
models
fifth
generation
(5G)
networks.
our
surpasses
methodologies,
extensive
study
including
factors
throughput,
dependability,
overhead,
packet
error
rate.
Electronics,
Год журнала:
2025,
Номер
14(5), С. 1019 - 1019
Опубликована: Март 3, 2025
The
ongoing
evolution
of
cloud
computing
requires
sustained
attention
to
security,
privacy,
and
compliance
issues.
purpose
this
paper
is
systematically
review
the
current
literature
regarding
application
federated
learning
(FL)
artificial
intelligence
(AI)
improve
security
while
preserving
delivering
real-time
threat
detection,
meeting
regulatory
requirements.
research
follows
a
systematic
(SLR)
approach,
which
examined
30
studies
published
between
2020
2024
followed
PRISMA
checklist.
analysis
shows
that
FL
provides
significant
privacy
risk
reduction
by
25%,
especially
in
healthcare
similar
domains,
it
improves
detection
40%
critical
infrastructure
areas.
A
total
80%
reviewed
implementations
showed
improved
but
challenges
like
communication
overhead
resource
limitations
persist,
with
50%
reporting
latency
To
overcome
these
obstacles,
study
also
explores
some
emerging
solutions,
include
model
compression,
hybrid
architectures,
cryptographic
enhancements.
Additionally,
demonstrates
unexploited
capability
for
decision-making
dynamic
edge
environments
highlights
its
potential
across
autonomous
systems,
Industrial
Internet
Things
(IIoT),
cybersecurity
frameworks.
paper’s
proposed
insights
present
deployment
strategy
models
enables
scalable,
secure,
privacy-preserving
operations
will
enable
robust
solutions
AI
era.
IEEE Internet of Things Journal,
Год журнала:
2023,
Номер
10(16), С. 14595 - 14620
Опубликована: Май 10, 2023
The
Internet
of
Things
(IoT)
has
already
emerged
as
one
the
most
popular
directions
in
today's
information
and
communication
technology
(ICT)
domain.
With
its
advancement
over
different
application
areas,
such
smart
home,
healthcare,
industry
4.0,
etc.,
a
huge
amount
data
been
generated
by
billions
IoT
devices,
which
aggravates
shortcomings
network
layer
(IP)-based
networks,
limited
expressiveness
IP
addressing,
inefficient
support
for
mobility,
in-network
caching.
Building
on
top
information-centric
networking
(ICN)
is
believed
to
be
promising
solution
tackle
above
challenge,
especially
caching
ICN
can
significantly
benefit
terms
reducing
saving
devices'
energy.
However,
more
challenging
than
traditional
content,
e.g.,
video,
because
are
usually
valid
within
certain
period
time,
devices
typically
constrained
with
battery.
Hence,
this
survey,
we
first
review
current
implementation
proposals
ICN-based
(ICN-IoT).
Next,
present
conventional
decision
policies
replacement
could
adopted
mitigate
aforementioned
challenges,
traffic,
energy,
retrieval
latency.
Further,
since
leveraging
machine
learning
(ML)
techniques
have
potential
further
improve
efficiency
dealing
uncertainties,
predicting
unknown
information,
adaptively
interacting
environment,
also
demonstrate
recently
proposed
ML-based
schemes
ICN-IoT.
In
addition,
outline
open
research
issues
point
out
future
opportunities
IEEE Communications Surveys & Tutorials,
Год журнала:
2023,
Номер
26(2), С. 1080 - 1126
Опубликована: Ноя. 2, 2023
This
century
has
been
a
major
avenue
for
revolutionary
changes
in
technology
and
industry.
Industries
have
transitioned
towards
intelligent
automation,
relying
less
on
human
intervention,
resulting
the
fourth
industrial
revolution,
Industry
4.0.
That
is
why
IoT
researcher's
arena
quite
some
time.
With
4.0
still
motion,
world
verge
of
5th
relatively
new
concept
with
many
unclear
opinions
regarding
its
potential
benefits,
challenges,
opportunities,
trends,
impact
society.
There
dire
need
broader
more
critical
perspective.
research
paints
bigger
picture
"What
happening?"
to
expect?"
during
transition
phase
5.0.
In
this
comprehensive
review,
we
addressed
state-of-the-art
practices
transitional
We
highlighted
most
promising
key
enabling
technologies,
topics,
rising
unfolding
opportunities
that
can
help
prepare
society
paradigm
shift.
The
paper
then
surveys
work
toward
outstanding
enablers,
evolution
To
spur
further
avenues
researchers
industrialists,
offers
conclusive
insights
at
end.
addition,
article
precise
set
questions
answered
consequent
sections
subsections
reader's
clarity.
International Journal of Communication Systems,
Год журнала:
2023,
Номер
unknown
Опубликована: Фев. 6, 2023
Summary
As
an
emerging
technology,
blockchain
(BC)
has
been
playing
a
promising
role
in
today's
software‐defined
networking
(SDN)‐enabled
Internet
of
Things
(IoT)
applications.
Because
the
salient
feature
network
function
virtualization
(NFV)
techniques,
SDN
can
ensure
IoT
system
runs
efficiently
and
smoothly
cloud‐driven
ecosystem.
When
cloud‐enabled
systems
encounter
immense
security
operational
challenges
caused
mainly
by
third‐party
dependency,
large‐scale
data
communication,
maintenance,
BC
offers
effective
robust
transfer
solutions
without
incorporating
intermediaries
over
distributed
network.
With
increased
SDN‐BC
convergence
domain,
underlying
perspectives
deserve
proper
attention
methodically
structurally.
From
motivation
addressing
such
issues,
this
study
provides
necessary
insights
to
combine
those
for
successful
plug‐and‐play.
Therefore,
includes
purposefully
investigating
current
state‐of‐the‐art
extract
research
trends,
future
directions,
domain.
This
comprehensive
survey
IoT,
SDN,
NFV,
BC‐enabled
technologies.
More
importantly,
authors
intelligently
integrated
four
different
technologies—IoT,
BC,
NFV
based
on
characteristics,
scopes,
challenges,
taxonomies,
tables
numerous
areas.
Initially,
introduce
SDN‐IoT
ecosystem
brief
address
features
We
took
close
look
at
SDN's
overall
taxonomy
security,
environment,
challenges.
also
briefly
describe
integration
with
ecosystems.
Moreover,
we
review
prospect
technology
from
perspectives,
its
extent,
practical
implementation,
possible
regarding
smart
Finally,
highlights
several
directions
these
IEEE Access,
Год журнала:
2024,
Номер
12, С. 32819 - 32829
Опубликована: Янв. 1, 2024
After
the
coronavirus
disease
2019
(COVID-19)
outbreak,
viral
infection
known
as
monkeypox
gained
significant
attention,
and
World
Health
Organization
(WHO)
classified
it
a
global
public
health
emergency.
Given
similarities
between
other
pox
viruses,
conventional
classification
methods
encounter
difficulties
in
accurately
identifying
disease.
Furthermore,
sharing
sensitive
medical
data
gives
rise
to
concerns
about
security
privacy.
Integrating
deep
neural
networks
with
federated
learning
(FL)
presents
promising
avenue
for
addressing
challenges
of
categorization.
In
light
this,
we
propose
an
FL-based
framework
using
models
classify
viruses
securely.
The
proposed
has
three
major
components:
(a)
cycle-consistent
generative
adversarial
network
augment
samples
training;
(b)
learning-based
such
MobileNetV2,
Vision
Transformer
(ViT),
ResNet50
classification;
(c)
flower-federated
environment
security.
experiments
are
performed
publicly
available
datasets.
experiments,
ViT-B32
model
yields
impressive
accuracy
rate
97.90%,
emphasizing
robustness
its
potential
secure
accurate
categorization
Sensors,
Год журнала:
2024,
Номер
24(3), С. 968 - 968
Опубликована: Фев. 1, 2024
Federated
learning
(FL)
is
a
machine
(ML)
technique
that
enables
collaborative
model
training
without
sharing
raw
data,
making
it
ideal
for
Internet
of
Things
(IoT)
applications
where
data
are
distributed
across
devices
and
privacy
concern.
Wireless
Sensor
Networks
(WSNs)
play
crucial
role
in
IoT
systems
by
collecting
from
the
physical
environment.
This
paper
presents
comprehensive
survey
integration
FL,
IoT,
WSNs.
It
covers
FL
basics,
strategies,
types
discusses
WSNs
various
domains.
The
addresses
challenges
related
to
heterogeneity
summarizes
state-of-the-art
research
this
area.
also
explores
security
considerations
performance
evaluation
methodologies.
outlines
latest
achievements
potential
directions
emphasizes
significance
surveyed
topics
within
context
current
technological
advancements.