Blockchain-Enabled Secure Data Aggregation Routing (BSDAR) Protocol for IoT-Integrated Next-Generation Sensor Networks for Enhanced Security
International Journal of Computational and Experimental Science and Engineering,
Год журнала:
2025,
Номер
11(1)
Опубликована: Янв. 5, 2025
WSNs,
due
to
their
special
characteristics
as
compared
conventional
networks,
have
become
the
focus
of
extensive
research.
A
large-scale
IoT
forms
backbone
billions
resource-constrained
next-generation
sensors
interconnected
with
each
other.
Their
deployments
remain
one
most
serious
challenges
existing
security
mechanisms
dynamic
devices,
which
could
not
provide
efficient
protection
against
malicious
adversaries.
Besides,
routing
protocols
are
vulnerable
various
threats
from
unreliability
and
open-access
nature
internet.
This
research
article
presents
a
novel
blockchain-enabled
secure
data
aggregation
model
protocol
for
in
IoT-integrated
networks
using
sensor
nodes.
The
BSDAR
is
capable
improving
energy
performance
while
ensuring
strong
node-level
shield
attacks.
It
first
organizes
networking
nodal
points
into
autonomous
clusters
different
radii
effectively
avoid
holes
around
BS.
Then,
uses
A-star
based
heuristics
strategy
construct
well-organized
non-looping
paths.
has
integrated
blockchain
technology
goal
communication
process.
In
that,
end-to-end
preserved
by
decentralized
tamper-proof
approach
simulation
results
prove
that
significantly
outperforms
solutions
consumption,
throughput,
network
lifetime
time
complexity,
thus
presenting
promising
solution
scalable
deployments.
Язык: Английский
Techniques for load balancing throughout the cloud: a comprehensive literature analysis
International Journal of Computational and Experimental Science and Engineering,
Год журнала:
2025,
Номер
11(1)
Опубликована: Янв. 12, 2025
Recently,
"Cloud-Computing
(CC)"
has
become
increasingly
common
because
it's
a
new
paradigm
for
handling
massive
challenges
in
versatile
and
efficient
way.
CC
is
form
of
decentralized
computation
that
uses
an
online
network
to
facilitate
the
sharing
various
computational
computing
resources
among
large
number
consumers,
most
commonly
referred
as
"Cloud-Users
(CUs)”.
The
burdens
on
"Cloud-Server
(CS)"
could
be
either
light
or
too
heavy,
depending
how
quickly
volume
CUs
their
demands
are
growing.
Higher
response
times
high
resource
usage
two
many
issues
resulting
from
these
conditions.
To
address
enhance
CS
efficiency,
"Load-Balancing
(LB)"
approaches
very
effective.
goal
LB
approach
identify
over-loading
under-loading
CSs
distribute
workload
accordingly.
Publications
have
employed
numerous
techniques
broad
effectiveness
solutions,
boost
confidence
end
CUs,
ensure
effective
governance
suitable
CS.
A
successful
technique
distributes
tasks
within
network,
thereby
increasing
performance
maximizing
utilization.
Experts
shown
abundance
engagement
this
issue
offered
several
remedies
over
past
decade.
primary
extensive
review
article
examine
different
variables
provide
critical
analysis
current
techniques.
Additionally,
outlines
requirements
explores
associated
with
context
CC.
Conventional
insufficient
they
ignore
operational
efficiency
“Fault-Tolerance
(FT)”
measures.
present
article,
bridge
gaps
existing
research,
assist
academics
gaining
more
knowledge
about
Язык: Английский
Enhancing Cyber-Physical System Security through AI-Driven Intrusion Detection and Blockchain Integration
N. Purandhar,
M. Rajendrian,
Ahmed Mudassar Ali
и другие.
International Journal of Computational and Experimental Science and Engineering,
Год журнала:
2025,
Номер
11(1)
Опубликована: Март 2, 2025
Cyber-Physical
Systems
(CPS)
play
a
critical
role
in
modern
industries,
smart
grids,
healthcare,
and
autonomous
transportation.
However,
their
increasing
connectivity
makes
them
vulnerable
to
cyber
threats.
This
research
proposes
an
AI-driven
Intrusion
Detection
System
(AI-IDS)
integrated
with
Blockchain
Technology
enhance
CPS
security.
The
AI-IDS
employs
deep
learning
models
for
anomaly
detection,
leveraging
graph-based
machine
federated
improve
real-time
threat
mitigation.
Additionally,
blockchain
ensures
data
integrity,
access
control,
decentralized
security
through
contracts
consensus
mechanisms.
framework
is
validated
using
real-world
datasets,
demonstrating
improved
detection
accuracy,
reduced
false
alarms,
resilience
against
adversarial
attacks.
hybrid
approach
enhances
scalability,
trustworthiness,
defense
cyber-physical
environments
Язык: Английский
Securing the Future of Library Cloud Infrastructure with AQFA: Adaptive Quantum-Resistant Authentication
International Journal of Computational and Experimental Science and Engineering,
Год журнала:
2025,
Номер
11(2)
Опубликована: Март 25, 2025
The
deployment
of
cloud
infrastructure
in
libraries
enhances
scalability
and
availability
resources,
but
different
hazards
have
evolved,
so
has
the
need
for
sound
security
measures
shielding
critical
information
from
some
risks
such
as
quantum
computing’s
risks.
This
paper
proposes
Quantum-Resistant
Federated
Authentication
(AQFA)
framework
which
uses
federated
learning
with
quantum-resistant
cryptographic
technologies
improvement
authentication
library
systems.
AQFA
employs
a
multilayer
model
ensures
two
things;
user
credential
protection
against
attacks,
privacy,
accessibility.
It
also
trust
models
to
adapt
its
incident
response
real-time
behavior;
thereby
making
it
easier
manage
unauthorized
access.
In
addition,
adapts
homomorphic
encryption
help
encrypt
data
processing
ability
that
enables
perform
operations
on
encrypted
data.
thinking
solution
not
only
improves
general
infrastructures
reasonable
scale
adjustment
more
digital
environment.
findings
further
affirm
mitigating
historical
assets
preventing
leakage
configuration
Язык: Английский