Sensors,
Journal Year:
2024,
Volume and Issue:
24(24), P. 8189 - 8189
Published: Dec. 22, 2024
This
study
presents
a
blockchain-based
traceability
system
designed
specifically
for
the
olive
oil
supply
chain,
addressing
key
challenges
in
transparency,
quality
assurance,
and
fraud
prevention.
The
integrates
Internet
of
Things
(IoT)
technology
with
decentralized
blockchain
framework
to
provide
real-time
monitoring
critical
metrics.
A
practical
web
application,
linked
Ethereum
blockchain,
enables
stakeholders
track
each
stage
chain
via
tamper-proof
records.
Key
functionalities
include
smart
contracts
that
automate
checks,
ensuring
data
integrity
providing
immediate
verification
product
authenticity.
Initial
user
feedback
highlights
system’s
potential
enhance
transparency
reduce
risks
market,
supporting
consumer
trust
regulatory
compliance.
approach
offers
scalable
solution
adaptable
other
high-value
agricultural
products,
demonstrating
blockchain’s
transformative
secure
transparent
food
traceability.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 11, 2024
Abstract
Many
node-organizing
blockchain
models
for
IoT
lack
the
scalability
needed
high
transaction
volumes
and
mechanisms
to
manage
decentralization
node
overhead.
This
study
proposes
a
multi-tiered
Self-Scalable
Dynamic
architecture
based
on
forest
of
trees
improve
efficiency
by
clustering
all
nodes
limit
those
involved
in
consensus.
In
addition
architecture,
our
contributions
include:
i)
A
protocol
speed
up
ii)
mechanism
efficient
node-lookup
message-routing.
iii)
dynamic
algorithm
balance
overhead
decentralization.
iv)
colocality
enhance
consensus
time.
reduces
time
with
an
upper
bound
O(1)
plus
propagation
delay
factor.
As
more
devices
join,
resulting
deeper
forest,
model
becomes
scalable
shorter
delays.
The
proposed
may
serve
as
general-purpose
solutions
scalability,
load
balancing,
message-routing,
are
application-,
clustering-,
consensus-algorithm-agnostic.
ICST Transactions on Scalable Information Systems,
Journal Year:
2024,
Volume and Issue:
11(6)
Published: June 26, 2024
Given
the
escalating
intricacy
of
network
environments
and
rising
level
sophistication
in
cyber
threats,
there
is
an
urgent
requirement
for
resilient
effective
intrusion
detection
systems
(NIDS).
This
document
presents
innovative
NIDS
approach
that
utilizes
Convolutional
Long
Short-Term
Memory
(ConvLSTM)
networks
Elephant
Herd
Optimization
(EHO)
to
achieve
precise
timely
detection.
Our
proposed
model
combines
strengths
ConvLSTM,
which
can
effectively
capture
spatiotemporal
dependencies
traffic
data,
EHO,
allow
focus
on
relevant
information
while
filtering
out
noise.
To
this,
we
first
preprocess
data
into
sequential
form
use
ConvLSTM
layers
learn
both
spatial
temporal
features.
Subsequently,
introduce
dynamically
assigns
different
weights
parts
input
emphasizing
regions
most
likely
contain
malicious
activity.
evaluate
effectiveness
our
approach,
conducted
extensive
experiments
publicly
available
CICIDS2017
Dataset.
The
experimental
results
demonstrate
efficacy
(Accuracy
=
99.98%),
underscoring
its
potential
revolutionize
modern
proactively
safeguard
digital
assets.
Software-Defined
Networking
(SDN)
has
revolutionized
network
management
by
providing
unprecedented
flexibility,
control,
and
efficiency.
However,
its
centralized
architecture
introduces
critical
security
vulnerabilities.
This
paper
presents
an
innovative
approach
to
securing
SDN
environments
using
IOTA
2.0
smart
contracts.
The
proposed
system
leverages
the
Tangle,
a
directed
acyclic
graph
(DAG)
structure,
enhance
scalability
efficiency
while
eliminating
transaction
fees
reducing
energy
consumption.
We
introduce
three
contracts—Authority,
Access
Control,
DoS
Detector—to
ensure
secure
operations,
prevent
unauthorized
access,
mitigate
denial-of-service
attacks.
Through
comprehensive
simulations
Mininet
ShimmerEVM
Test
Network,
we
demonstrate
efficacy
of
our
in
enhancing
security.
Our
findings
highlight
potential
contracts
provide
robust,
decentralized
solution
for
environments,
paving
way
further
integration
blockchain
technologies
management.
Sensors,
Journal Year:
2024,
Volume and Issue:
24(24), P. 8189 - 8189
Published: Dec. 22, 2024
This
study
presents
a
blockchain-based
traceability
system
designed
specifically
for
the
olive
oil
supply
chain,
addressing
key
challenges
in
transparency,
quality
assurance,
and
fraud
prevention.
The
integrates
Internet
of
Things
(IoT)
technology
with
decentralized
blockchain
framework
to
provide
real-time
monitoring
critical
metrics.
A
practical
web
application,
linked
Ethereum
blockchain,
enables
stakeholders
track
each
stage
chain
via
tamper-proof
records.
Key
functionalities
include
smart
contracts
that
automate
checks,
ensuring
data
integrity
providing
immediate
verification
product
authenticity.
Initial
user
feedback
highlights
system’s
potential
enhance
transparency
reduce
risks
market,
supporting
consumer
trust
regulatory
compliance.
approach
offers
scalable
solution
adaptable
other
high-value
agricultural
products,
demonstrating
blockchain’s
transformative
secure
transparent
food
traceability.
