Security and Privacy,
Год журнала:
2024,
Номер
8(1)
Опубликована: Дек. 25, 2024
ABSTRACT
The
pervasive
expansion
of
the
Internet
Things
(IoT)
year
after
has
facilitated
widespread
sensing
capabilities
across
various
domains.
Consequently,
heightened
concerns
have
arisen
regarding
authentication
and
security
measures.
There
is
a
growing
focus
on
biometrics
in
realm
human
identification
applications,
particularly
context
advancing
biometric‐enhanced
IoT
applications.
This
trend
garnering
increasing
attention
as
it
unfolds.
As
new
technologies
developed,
biometric‐based
been
seen
an
effective
way
to
automatically
identify
people
because
its
uniqueness
impossibility
fabricating
it.
Biometric
identity
systems
make
secure
access
management
possible.
However,
due
their
almost
identical
physical
traits,
one
biggest
problems
with
conventional
being
able
tell
between
twins.
fact
frequently
results
high
false
acceptance
rates,
putting
system's
at
risk.
Thus,
solution
addressed
this
work
by
applying
multi‐biometric
method
based
unique
feature
levels.
Moreover,
accuracy
robustness
biometric
identifications
are
further
enhanced
both
Real
Coded
Genetic
Algorithm
(RCGA)
Fish
Swarm
(FSA).
RCGA
employed
global
search
explore
promising
space
guide
toward
optimal
region.
algorithm
exploits
capability
AFSA,
serving
local
final
solution.
Besides,
proposed
enhances
discriminative
power,
enabling
more
precise
trustworthy.
Therefore,
greatly
contributes
advancement
increase
fields.
Heliyon,
Год журнала:
2024,
Номер
10(11), С. e32071 - e32071
Опубликована: Май 30, 2024
Efficiently
handling
huge
data
amounts
and
enabling
processing-intensive
applications
to
run
in
faraway
areas
simultaneously
is
the
ultimate
objective
of
5G
networks.
Currently,
order
distribute
computing
tasks,
ongoing
studies
are
exploring
incorporation
fog-cloud
servers
onto
satellites,
presenting
a
promising
solution
enhance
connectivity
remote
areas.
Nevertheless,
analyzing
copious
produced
by
scattered
sensors
remains
challenging
endeavor.
The
conventional
strategy
transmitting
this
central
server
for
analysis
can
be
costly.
In
contrast
centralized
learning
methods,
distributed
machine
(ML)
provides
an
alternative
approach,
albeit
with
notable
drawbacks.
This
paper
addresses
comparative
expenses
systems
tackle
these
challenges
directly.
It
proposes
creation
integrated
system
that
harmoniously
merges
cloud
satellite
network
structures,
leveraging
strengths
each
system.
integration
could
represent
major
breakthrough
satellite-based
networking
technology
streamlining
processing
from
nodes
cutting
down
on
expenses.
core
approach
lies
adaptive
tailoring
techniques
individual
entities
based
their
specific
contextual
nuances.
experimental
findings
underscore
prowess
innovative
lightweight
strategy,
LMAED2L
(Enhanced
Deep
Learning
Earth
Data
Analysis),
across
spectrum
assignments,
showcasing
remarkable
consistent
performance
under
diverse
operational
conditions.
Through
strategic
fusion
frameworks,
method
emerges
as
dynamic
effective
remedy
intricate
encountered
within
networks
interfaced
servers.
empirical
reveal
significant
boost
our
novel
over
traditional
average
increase
reward
(4.1%),
task
completion
rate
(3.9%),
delivered
packets
(3.4%).
report
suggests
advancements
will
catalyze
cutting-edge
algorithms
future
networks,
elevating
responsiveness,
efficiency,
resource
utilization
new
heights.
Frontiers in Sociology,
Год журнала:
2024,
Номер
9
Опубликована: Ноя. 1, 2024
Since
the
enactment
of
Law
Comprehensive
Structure
for
Social
Welfare
and
Security
in
Iran,
only
a
small
fraction
its
target
has
been
accomplished
significant
part
rural
women
have
not
covered
by
social
insurance
service
yet.
A
few
studies
conducted
on
people.
However,
no
study
ever
addressed
issue
with
focus
theoretical
aspects
sociology
science,
which
is
contribution
present
research.
Therefore,
research
aimed
to
explore
barriers
women's
participation
insurance.
