Cryptography,
Год журнала:
2025,
Номер
9(1), С. 17 - 17
Опубликована: Март 7, 2025
With
the
rise
in
applications
of
artificial
intelligence
(AI)
across
various
sectors,
security
concerns
have
become
paramount.
Traditional
AI
systems
often
lack
robust
measures,
making
them
vulnerable
to
adversarial
attacks,
data
breaches,
and
privacy
violations.
Cryptography
has
emerged
as
a
crucial
component
enhancing
by
ensuring
confidentiality,
authentication,
integrity.
This
paper
presents
comprehensive
bibliometric
review
understand
intersection
between
cryptography,
AI,
security.
A
total
495
journal
articles
reviews
were
identified
using
Scopus
primary
database.
The
results
indicate
sharp
increase
research
interest
2020
January
2025,
with
significant
publications
2023
2024.
key
application
areas
include
computer
science,
engineering,
materials
science.
Key
cryptographic
techniques
such
homomorphic
encryption,
secure
multiparty
computation,
quantum
cryptography
gained
prominence
Blockchain
also
an
essential
technology
for
securing
AI-driven
applications,
particularly
integrity
transactions.
highlights
role
safeguarding
provides
future
directions
strengthen
through
advanced
solutions.
Industry
4.0
is
an
aggregate
of
recent
technologies
including
artificial
intelligence,
big
data,
edge
computing,
and
the
Internet
Things
(IoT)
to
enhance
efficiency
real-time
decision-making.
data
analytics
demands
a
privacy-focused
approach,
federated
learning
offers
viable
solution
for
such
scenarios.
It
allows
each
device
train
model
locally
using
its
own
collected
shares
only
updates
with
server
without
need
share
real
data.
However,
communication
computational
costs
sharing
performance
are
major
bottlenecks
resource-constrained
devices.
This
study
introduces
representative-based
parameter-sharing
framework
that
aims
in
environment.
The
begins
by
distributing
initial
devices,
which
then
it
send
updated
parameters
back
aggregation.
To
reduce
costs,
identifies
groups
devices
similar
parameter
distributions
sends
from
resourceful
better-performing
device,
termed
cluster
head,
server.
A
backup
head
also
elected
ensure
reliability.
Clustering
performed
based
on
device’s
characteristics.
Moreover,
incorporates
randomly
selected
past
aggregated
into
current
aggregation
process
through
weighted
averaging
where
more
given
greater
weight
performance.
Comparative
experimental
evaluation
state
art
testbed
dataset
demonstrates
promising
results
minimizing
cost
while
preserving
prediction
performance,
ultimately
enhances
industrial
environments.
Cryptography,
Год журнала:
2025,
Номер
9(1), С. 17 - 17
Опубликована: Март 7, 2025
With
the
rise
in
applications
of
artificial
intelligence
(AI)
across
various
sectors,
security
concerns
have
become
paramount.
Traditional
AI
systems
often
lack
robust
measures,
making
them
vulnerable
to
adversarial
attacks,
data
breaches,
and
privacy
violations.
Cryptography
has
emerged
as
a
crucial
component
enhancing
by
ensuring
confidentiality,
authentication,
integrity.
This
paper
presents
comprehensive
bibliometric
review
understand
intersection
between
cryptography,
AI,
security.
A
total
495
journal
articles
reviews
were
identified
using
Scopus
primary
database.
The
results
indicate
sharp
increase
research
interest
2020
January
2025,
with
significant
publications
2023
2024.
key
application
areas
include
computer
science,
engineering,
materials
science.
Key
cryptographic
techniques
such
homomorphic
encryption,
secure
multiparty
computation,
quantum
cryptography
gained
prominence
Blockchain
also
an
essential
technology
for
securing
AI-driven
applications,
particularly
integrity
transactions.
highlights
role
safeguarding
provides
future
directions
strengthen
through
advanced
solutions.
