Detection and Prevention of Distributed Denial of Service Attacks in VANETs
2021 International Conference on Computational Science and Computational Intelligence (CSCI),
Год журнала:
2016,
Номер
unknown
Опубликована: Дек. 1, 2016
Vehicular
adhoc
networks
are
becoming
a
popular
and
promising
technology
in
the
modern
intelligent
transportation
world.
As
per
safety
applications
of
VANETs
any
information
circulating
through
network
can
be
life
crucial.
So
integrity
is
critical
need.
The
mobility
nodes
volatile
nature
connections
has
made
VANET
vulnerable
to
many
security
threats.
One
major
attack
that
exhausts
by
illegitimately
using
all
its
resources
DDOS
attack.
In
this
type
an
attacker
fakes
multiple
identities
i-e
uses
spoofed
IP
addresses
exhaust
bogus
messages
making
it
deny
cater
legitimate
requests
for
services.
before
proper
deployment
practically
needs
must
met.
paper
detection
then
prevention
scheme
proposed.
basic
principle
keeping
check
on
number
packets
being
injected
into
network.
proposed
structure
causes
almost
no
overhead
resources.
Язык: Английский
Predicting Urban Traffic Congestion with VANET Data
Computation,
Год журнала:
2025,
Номер
13(4), С. 92 - 92
Опубликована: Апрель 7, 2025
The
purpose
of
this
study
lies
in
developing
a
comparison
neural
network-based
models
for
vehicular
congestion
prediction,
with
the
aim
improving
urban
mobility
and
mitigating
negative
effects
associated
traffic,
such
as
accidents
congestion.
This
research
focuses
on
evaluating
effectiveness
different
network
architectures,
specifically
Transformer
LSTM,
order
to
achieve
accurate
reliable
predictions
To
carry
out
research,
rigorous
methodology
was
employed
that
included
systematic
literature
review
based
PRISMA
methodology,
which
allowed
identification
synthesis
most
relevant
advances
field.
Likewise,
Design
Science
Research
(DSR)
applied
guide
development
validation
models,
CRISP-DM
(Cross-Industry
Standard
Process
Data
Mining)
used
structure
process,
from
understanding
problem
implementing
solutions.
dataset
key
variables
related
vehicle
speed,
flow,
weather
conditions.
These
were
processed
normalized
train
evaluate
various
highlighting
LSTM
networks.
results
obtained
demonstrated
LSTM-based
model
outperformed
task
prediction.
Specifically,
achieved
an
accuracy
0.9463,
additional
metrics
loss
0.21,
0.93,
precision
0.29,
recall
0.71,
F1-score
0.42,
MSE
0.07,
RMSE
0.26.
In
conclusion,
demonstrates
is
highly
effective
predicting
congestion,
surpassing
other
architectures
Transformer.
integration
into
simulation
environment
showed
real-time
traffic
information
can
significantly
improve
management.
findings
support
utility
sustainable
planning
intelligent
management,
opening
new
perspectives
future
Язык: Английский
Improving AODV with TOPSIS Algorithm and Fuzzy Logic in VANETs
Опубликована: Апрель 1, 2019
The
ad-hoc
on-demand
distance
vector
(AODV)
routing
protocol
is
one
of
the
most
widely
used
protocols
in
VANETs.
AODV
finds
shortest
path
that
not
desirable
networks
with
high
mobility.
In
addition,
AODV,
request
messages
are
broadcasted
by
source
and
middle
vehicles,
which
increases
overhead.
However,
this
paper,
each
vehicle
selects
reliable
neighbors
order
to
send
request.
This
selection
based
on
Technique
for
Order
Preference
Similarity
Ideal
Solution
(TOPSIS)
algorithm.
As
a
result,
destination
receives
paths
uses
fuzzy
algorithm
select
best
route
from
perspective
failure
among
all
received
routes.
Simulation
results
show
proposed
method
has
lower
end-to-end
latency
higher
throughput
than
AODV.
Язык: Английский
Cross Layer based Congestion Free Route Selection in Vehicular Ad Hoc Networks
International journal of Computer Networks & Communications,
Год журнала:
2022,
Номер
14(4), С. 81 - 98
Опубликована: Июль 31, 2022
For
creating
a
mobile
network,
the
moving
cars
consider
as
nodes
in
Vehicular
Ad-Hoc
Networks
(VANETs).
Each
participating
car
is
turned
into
wireless
router
VANETs
that
allows
connecting
and
network.
To
improve
comfort
safety
of
driving
automotive
users,
vehicular
environment
system
develops
systems
using
access.
The
channel
congestion
causes
degradation
quality
service
such
cases
with
higher
vehicle
density.
real-time
reliable
communication
required
for
various
applications
VANETs.
dense
traffic
network
has
included
one
major
challenges
avoiding
channels’
degradation.
provide
efficient
operation,
most
studies
are
recommended
to
use
appropriate
control
methods.
It’s
important
note
many
mechanisms
not
implemented
event-driven
messages.
Based
on
probability
approach
estimation,
CFRS-CP-Congestion
free
route
selection
introduced
minimizing
total
number
data
flow
packets
passing
through
congested
nodes.
At
each
node,
estimated
proposed
technique
CFRS-CP
based
link
quality,
MAC
overhead,
neighbour
density
&
velocity.
Then,
used
assessment.
value
appended
comparison.
All
available
routes
assessed
which
results
routing
path
every
round
communication.
simulation
prove
method
decreases
end
delay
by
32%
improves
PDR
up
30%
throughput
45%
compared
existing
protocols.
Язык: Английский
An Analytical Study on Intrusion Detection System in Integrated Vehicular Ad-Hoc Network Attacks
2022 3rd International Conference on Intelligent Engineering and Management (ICIEM),
Год журнала:
2022,
Номер
unknown, С. 378 - 383
Опубликована: Апрель 27, 2022
Vehicular
networks
are
getting
an
important
technology
in
the
traffic
system.
VANET
simply
means
vehicles
connected
or
interlinked
wirelessly
to
interchange
information.
By
implementing
IDS
VANETs
we
able
control
and
mitigate
attacks,
like
Denial-of-Service
attacks
which
can
cause
disturbances
cannot
communicate
with
each
other
share
information
about
anything,
lead
disturbance
problems.
This
a
major
accident
between
vehicles,
harming
human
life
big
damage.
So,
implementation
network
analyse
incoming
outgoing
of
vehicles.
It
gives
alerts
if
any
malicious
activity
going
on
so
proper
steps
be
taken
these
prevented
increase
transportation
safety
security.
In
this
review
paper,
reviewed
papers
related
area
provided
theoretical
idea
how
implement
system
so,
secured
prevent
damage
caused
by
attack.
Язык: Английский
Blockchain Based Vehicle Authentication Scheme for Vehicular Ad-hoc Networks
Опубликована: Июль 11, 2021
Vehicular
Ad
Hoc
Network
(VANET)
is
a
pervasive
network,
where
vehicles
communicate
with
nearby
and
infrastructure
nodes,
such
as
Road-side
unit
(RSU).
Information
sharing
among
an
essential
component
of
intelligent
transportation
system
(ITS),
but
security
privacy
concerns
must
be
taken
into
consideration.
Security
the
network
can
improved
by
granting
access
only
to
authenticated
restricting
or
revoking
for
involved
in
misbehavior.
In
this
paper,
we
present
novel
blockchain
based
approach
authenticate
notify
other
about
any
unauthorized
messages
real
time.
This
helps
protect
from
making
critical
decisions
on
false
inaccurate
information.
proposed
architecture,
each
using
pseudonyms
pseudo
IDs
Blockchain
used
securely
maintain
identity
all
vehicles,
which
linked
if
needed.
The
goal
individual
while
still
ensuring
accountability
case
performance
evaluated
different
vehicle
attacker
densities,
results
demonstrate
it
has
lower
authentication
delay
communication
overhead
compared
existing
approaches.
Язык: Английский