Contemporary Security Policy,
Год журнала:
2023,
Номер
44(3), С. 437 - 461
Опубликована: Май 25, 2023
Zero-day
vulnerabilities
are
software
and
hardware
flaws
that
unknown
to
computer
vendors.
As
powerful
means
of
carrying
out
cyber
intrusions,
such
present
a
dilemma
for
governments.
Actors
develop
or
procure
may
retain
them
future
use;
alternatively,
agencies
possessing
disclose
the
affected
vendors
so
they
can
be
patched,
thereby
denying
not
only
adversaries
but
also
themselves.
Previous
research
has
explored
ethics
implications
this
dilemma,
no
study
investigated
public
opinion
regarding
zero-day
exploits.
We
results
from
survey
experiment
testing
whether
conditions
identified
as
important
in
literature
influence
respondents’
support
disclosing
stockpiling
vulnerabilities.
Our
show
respondents
overwhelmingly
disclosure,
conclusion
weakly
by
likelihood
an
adversary
will
independently
discover
vulnerability.
findings
suggest
gap
between
preferences
current
U.S.
policy.
Public Opinion Quarterly,
Год журнала:
2023,
Номер
87(1), С. 92 - 119
Опубликована: Фев. 1, 2023
Research
into
cyber-conflict,
public
opinion,
and
international
security
is
burgeoning,
yet
the
field
suffers
from
an
absence
of
conceptual
agreement
about
key
terms.
For
instance,
every
time
a
cyberattack
takes
place,
debate
erupts
as
to
whether
it
constitutes
cyberterrorism.
This
bears
significant
consequences,
seeing
ascription
"terrorism"
label
enables
application
heavy-handed
counterterrorism
powers
heightens
level
perceived
threat
among
public.
In
light
widespread
disagreement
in
cyberspace,
we
assert
that
opinion
plays
heightened
role
understanding
nature
cyber
threats.
We
construct
typological
framework
illuminate
attributes
drive
classification
attack
cyberterrorism,
which
test
through
ratings-based
conjoint
experiment
United
States,
Kingdom,
Israel
(N
=
21,238
observations).
find
(1)
refrains
labeling
attacks
by
unknown
actors
or
hacker
collectives
cyberterrorism;
(2)
classifies
disseminate
sensitive
data
terrorism
greater
extent
even
than
physically
explosive
attacks.
Importantly,
uniform
perspectives
across
three
countries
challenge
foundational
tenet
relations
scholarship
divided
views
elites
on
foreign
policy
matters
will
be
reflected
study
concludes
providing
definitive
baseline
support
future
research
topic.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Янв. 14, 2025
The
application
of
artificial
neural
networks
(ANNs)
can
be
found
in
numerous
fields,
including
image
and
speech
recognition,
natural
language
processing,
autonomous
vehicles.
As
well,
intrusion
detection,
the
subject
this
paper,
relies
heavily
on
it.
Different
detection
models
have
been
constructed
using
ANNs.
While
ANNs
are
relatively
mature
to
construct
models,
some
challenges
remain.
Among
most
notorious
these
bloated
caused
by
large
number
parameters,
non-interpretability
models.
Our
paper
presents
Convolutional
Kolmogorov-Arnold
Networks
(CKANs),
which
designed
overcome
difficulties
provide
an
interpretable
accurate
model.
(KANs)
developed
from
representation
theorem.
Meanwhile,
CKAN
incorporates
a
convolutional
computational
mechanism
based
KAN.
model
proposed
is
incorporating
attention
mechanisms
into
CKAN's
logic.
datasets
CICIoT2023
CICIoMT2024
were
used
for
training
validation.
From
results
evaluating
performance
indicators
experiments,
CKANs
has
attractive
prospect.
compared
with
other
methods,
predict
much
higher
level
accuracy
significantly
fewer
parameters.
However,
it
not
superior
terms
memory
usage,
execution
speed
energy
consumption.
Abstract
The
purpose
of
this
study
is
to
show
the
growing
concern
about
cybersecurity
in
tourism
and
travel
research
from
2000
August
7,
2024.
methodology
used
adopted
a
systematic
literature
review
approach
based
on
PRISMA
(Preferred
Reporting
Items
for
Systematic
Reviews
Meta-Analyses)
using
Web
Science
(WoS)
database,
as
well
implement
VOSviewer
software
map
most
important
themes
related
cybersecurity,
tourism,
keywords
selected
research.
Findings
current
interest
topic
its
relationship
with
disciplines
by
researchers,
particularly
beginning
COVID-19
present.
Indeed,
growth
‘cybersecurity’
‘tourism’
publications
citations
average
annual
up
18%
129%,
respectively,
2020
2023.
While
‘travel’
grew
8%
80%,
respectively.
Another
finding
was
that
keyword
analysis
revealed
occurring
words
mainly
were
cybersecurity;
impact;
AI;
security;
management;
case
searches.
Whereas
searches
adoption;
attacks;
challenges;
consumer;
cyberattacks;
hotels;
OTAs;
smart
cities;
industry,
among
others.
These
findings
studies
carried
out
so
far
are
tackling
cybersecurity’s
consequences
impact
activities
cities,
companies,
consumers.
Tourism
companies
need
focus
prevention,
not
only
detection
response
cyberattacks.
This
know
prevention
protection
tool
industries
because
cyberattacks
cyberthreats
tourist
destinations
be
taken
seriously.