Cybercrime through the public lens: a longitudinal analysis
Humanities and Social Sciences Communications,
Journal Year:
2025,
Volume and Issue:
12(1)
Published: March 1, 2025
Language: Английский
AI for Healthcare Security: The Intersection of Innovation and Resilience
Communications in computer and information science,
Journal Year:
2025,
Volume and Issue:
unknown, P. 109 - 127
Published: Jan. 1, 2025
Language: Английский
Advancing Cybersecurity Through Machine Learning: A Scientometric Analysis of Global Research Trends and Influential Contributions
Journal of Cybersecurity and Privacy,
Journal Year:
2025,
Volume and Issue:
5(2), P. 12 - 12
Published: March 22, 2025
Implementing
machine
learning
is
imperative
for
enhancing
advanced
cybersecurity
practices
globally.
The
current
landscape
needs
further
investigation
into
the
potential
impasse.
This
scientometric
study
aims
to
comprehensively
analyse
patterns
and
key
contributions
at
nexus
of
learning.
analysis
examines
publication
trends,
citation
analysis,
intensive
research
networks
discover
authors,
significant
organisations,
major
countries,
emerging
areas.
search
was
conducted
on
Scopus
database,
3712
final
documents
were
selected
after
a
thorough
screening
from
January
2016
2025.
VOSviewer
tool
used
map
visualise
co-authorship
networks,
enabling
discovery
patterns,
top
contributors,
hot
topics
in
domain.
findings
uncovered
substantial
growth
publications
bridging
with
deep
learning,
involving
2865
authors
across
160
institutions
114
countries.
Saudi
Arabia
emerged
as
contributing
nation
flaunting
high
productivity.
IEEE
Sensors
are
sources
instrumental
producing
interdisciplinary
research.
Iqbal
H.
Sarker
N.
Moustafa
notable
17
16
each.
emphasises
significance
global
partnerships
multidisciplinary
posture
identifying
areas
future
studies.
highlights
its
importance
by
guiding
policymakers
practitioners
develop
learning-based
strategies.
Language: Английский
Deep Learning in Cybersecurity: Applications, Challenges, and Future Prospects
Levina Tukaram
No information about this author
International Journal of Innovations in Science Engineering and Management.,
Journal Year:
2025,
Volume and Issue:
unknown, P. 27 - 33
Published: April 12, 2025
Cybersecurity
risks
are
heightened
by
the
quick
proliferation
of
smart
things
and
growing
frequency
severity
intrusions.
primarily
guards
against
external
assaults
on
data,
software,
hardware
that
part
a
system
with
an
active
internet
connection.
is
used
organizations
to
guard
unwanted
access
their
records
systems.
In
this
article
review
various
literature’s
study
deep
learning
in
cybersecurity.
Additionally,
explore
challenges,
application
future
prospects
Cybersecurity.
It
concluded
plays
crucial
role
cybersecurity
enhancing
intrusion
detection,
malware
classification,
anomaly
detection.
Techniques
like
SMOTE
address
class
imbalance,
while
models
such
as
CatBoost
XGBoost
outperform
identifying
cyber
threats.
Challenges
include
handling
untidy,
hierarchical
optimizing
model
parameters,
balancing
accuracy
training
time.
Future
advancements
will
focus
improving
detection
performance,
securing
neural
networks
adversarial
attacks,
for
resource-constrained
environments.
Integrating
multiple
parallel
can
enhance
efficiency,
making
vital
tool
IoT
addressing
evolving
Language: Английский