Decoding dependencies among the risk factors influencing maritime cybersecurity: Lessons learned from historical incidents in the past two decades
Ocean Engineering,
Год журнала:
2024,
Номер
312, С. 119078 - 119078
Опубликована: Авг. 29, 2024
The
distinctive
features
of
maritime
infrastructures
present
significant
challenges
in
terms
security.Disruptions
to
the
normal
functioning
any
part
transportation
can
have
wide-ranging
consequences
at
both
national
and
international
levels,
making
it
an
attractive
target
for
malicious
attacks.Within
this
context,
integration
digitalization
technological
advancements
seaports,
vessels
other
elements
exposes
them
cyber
threats.In
response
critical
challenge,
paper
aims
formulate
a
novel
cybersecurity
risk
analysis
method
ensuring
security.This
approach
is
based
on
data-driven
Bayesian
network,
utilizing
recorded
incidents
spanning
past
two
decades.The
findings
contribute
identification
highly
contributing
factors,
meticulous
examination
their
nature,
revelation
interdependencies,
estimation
probabilities
occurrence.Rigorous
validation
developed
model
ensures
its
robustness
diagnostic
prognostic
purposes.The
implications
drawn
from
study
offer
valuable
insights
stakeholders
governmental
bodies,
enhancing
understanding
how
address
threats
affecting
industry.This
knowledge
aids
implementation
necessary
preventive
measures.
Язык: Английский
Enhancing maritime transportation security: A data‐driven Bayesian network analysis of terrorist attack risks
Risk Analysis,
Год журнала:
2024,
Номер
45(2), С. 283 - 306
Опубликована: Июль 21, 2024
Maritime
terrorist
accidents
have
a
significant
low-frequency-high-consequence
feature
and,
thus,
require
new
research
to
address
the
associated
inherent
uncertainty
and
scarce
literature
in
field.
This
article
aims
develop
novel
method
for
maritime
security
risk
analysis.
It
employs
real
accident
data
from
attacks
over
past
two
decades
train
data-driven
Bayesian
network
(DDBN)
model.
The
findings
help
pinpoint
key
contributing
factors,
scrutinize
their
interdependencies,
ascertain
probability
of
different
scenarios,
describe
impact
on
manifestations
terrorism.
established
DDBN
model
undergoes
thorough
verification
validation
process
employing
various
techniques,
such
as
sensitivity,
metrics,
comparative
analyses.
Additionally,
it
is
tested
against
recent
real-world
cases
demonstrate
its
effectiveness
both
retrospective
prospective
propagation,
encompassing
diagnostic
predictive
capabilities.
These
provide
valuable
insights
stakeholders,
including
companies
government
bodies,
fostering
comprehension
terrorism
potentially
fortifying
preventive
measures
emergency
management.
Язык: Английский
Resilience analysis of seaports: a critical review of development and research directions
Maritime Policy & Management,
Год журнала:
2025,
Номер
unknown, С. 1 - 36
Опубликована: Март 23, 2025
Язык: Английский
Prioritizing Factors Influencing Global Network Readiness Index with Bayesian Belief Networks
Journal of Open Innovation Technology Market and Complexity,
Год журнала:
2025,
Номер
unknown, С. 100522 - 100522
Опубликована: Март 1, 2025
Язык: Английский
Shifting landscape of terrorism: A 50‐year spatiotemporal analysis
Risk Analysis,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 30, 2025
Abstract
This
study
aims
to
analyze
the
spatiotemporal
evolutionary
characteristics
of
global
terrorism
from
1970
2020,
providing
a
comprehensive
understanding
its
dynamics
and
patterns.
The
research
seeks
fill
gaps
in
existing
literature
by
integrating
geographic
perspectives
methods
enhance
terrorism's
spatial
temporal
dimensions.
employs
multi‐methodological
approach,
combining
Mann–Kendall
trend
test,
autocorrelation
analysis,
kernel
density
estimation,
standard
deviational
ellipse.
These
are
applied
data
176
countries,
covering
171,327
terrorist
incidents
recorded
Global
Terrorism
Database
(GTD)
2020.
Pertinent
findings
as
follows.
Temporally,
risk
has
evolved
significantly
over
past
five
decades
involves
four
distinct
stages,
i.e.,
emerging
stage
(1970–1991),
descending
(1992–2000),
rampant
(2001–2014),
attenuating
(2015–2020).
Meanwhile,
117
countries
show
an
increasing
trend,
56
decreasing
risk.
Spatially,
distribution
is
characterized
clustering
aggregation,
with
constant
shift
gravity
center
dominant
direction.
In
addition,
hotspots
predominantly
presented
“two
major
core
circles
multiple
sub‐centers.”
Язык: Английский
Maritime security threats: Classifying and associating patterns in piracy and armed robbery incidents
Ocean & Coastal Management,
Год журнала:
2025,
Номер
266, С. 107685 - 107685
Опубликована: Апрель 15, 2025
Язык: Английский
Analysis of the impact of climate-driven Extreme Weather Events (EWEs) on the UK train delays: A data-driven BN approach
Reliability Engineering & System Safety,
Год журнала:
2025,
Номер
262, С. 111189 - 111189
Опубликована: Апрель 25, 2025
Язык: Английский
Dynamic Bayesian Networks, Elicitation, and Data Embedding for Secure Environments
Entropy,
Год журнала:
2024,
Номер
26(11), С. 985 - 985
Опубликована: Ноя. 17, 2024
Serious
crime
modelling
typically
needs
to
be
undertaken
securely
behind
a
firewall
where
police
knowledge
and
capabilities
remain
undisclosed.
Data
informing
an
ongoing
incident
are
often
sparse;
large
proportion
of
relevant
data
only
come
light
after
the
culminates
or
intervene-by
which
point
it
is
too
late
make
use
aid
real-time
decision-making
for
in
question.
Much
that
Язык: Английский