Mathematics,
Год журнала:
2024,
Номер
12(24), С. 3948 - 3948
Опубликована: Дек. 15, 2024
Cryptography
is
one
of
the
most
important
branches
information
security.
ensures
secure
communication
and
data
privacy,
it
has
been
increasingly
applied
in
healthcare
related
areas.
As
a
significant
cryptographic
method,
Hill
cipher
attracted
attention
from
experts
scholars.
To
enhance
security
traditional
(THC)
expand
its
application
medical
image
encryption,
novel
dynamic
with
Arnold
scrambling
technique
(DHCAST)
proposed
this
work.
Unlike
THC,
DHCAST
uses
time-varying
matrix
as
secret
key,
which
greatly
increases
new
successfully
images
encryption.
In
addition,
method
employs
Zeroing
Neural
Network
(ZNN)
decryption
to
find
inversion
key
(TVIKM).
order
efficiency
ZNN
for
solving
TVIKM,
fuzzy
zeroing
neural
network
(NFZNN)
model
constructed,
convergence
robustness
NFZNN
are
validated
by
both
theoretical
analysis
experiment
results.
Simulation
experiments
show
that
time
about
0.05
s,
while
(TZNN)
2
means
speed
400
times
TZNN
model.
Moreover,
Peak
Signal
Noise
Ratio
(PSNR)
Number
Pixel
Change
Rate
(NPCR)
algorithm
reach
9.51
99.74%,
respectively,
effectively
validates
excellent
encryption
quality
attack
prevention
ability.
Mathematics,
Год журнала:
2024,
Номер
13(1), С. 128 - 128
Опубликована: Дек. 31, 2024
In
contrast
to
previous
research
that
has
primarily
focused
on
distance
synchronization
of
states
in
chaotic
systems,
shape
emphasizes
the
geometric
attractors
two
systems.
Diverging
from
existing
work
synchronization,
this
paper
introduces
application
adaptive
control
methods
achieve
asymptotic
for
first
time.
By
designing
an
controller
using
proposed
rule,
response
system
under
is
able
attain
with
drive
system.
This
method
capable
achieving
models
parameters
requiring
estimation
both
and
The
approach
remains
effective
even
presence
uncertainties
model
parameters.
presents
relevant
theorems
proofs,
simulation
results
demonstrate
effectiveness
synchronization.
Due
pseudo-random
nature
systems
their
extreme
sensitivity
initial
conditions,
which
make
them
suitable
information
encryption,
a
novel
channel-integrated
image
encryption
scheme
proposed.
leverages
generate
sequences,
are
then
used
shuffling,
scrambling,
diffusion
processes.
Simulation
experiments
algorithm
achieves
exceptional
performance
terms
correlation
metrics
entropy,
competitive
value
7.9971.
Robustness
further
validated
through
key
space
analysis,
yielding
10210×2512,
as
well
visual
tests,
including
center
edge
cropping.
confirm
context
encryption.
Mathematics,
Год журнала:
2024,
Номер
12(24), С. 3948 - 3948
Опубликована: Дек. 15, 2024
Cryptography
is
one
of
the
most
important
branches
information
security.
ensures
secure
communication
and
data
privacy,
it
has
been
increasingly
applied
in
healthcare
related
areas.
As
a
significant
cryptographic
method,
Hill
cipher
attracted
attention
from
experts
scholars.
To
enhance
security
traditional
(THC)
expand
its
application
medical
image
encryption,
novel
dynamic
with
Arnold
scrambling
technique
(DHCAST)
proposed
this
work.
Unlike
THC,
DHCAST
uses
time-varying
matrix
as
secret
key,
which
greatly
increases
new
successfully
images
encryption.
In
addition,
method
employs
Zeroing
Neural
Network
(ZNN)
decryption
to
find
inversion
key
(TVIKM).
order
efficiency
ZNN
for
solving
TVIKM,
fuzzy
zeroing
neural
network
(NFZNN)
model
constructed,
convergence
robustness
NFZNN
are
validated
by
both
theoretical
analysis
experiment
results.
Simulation
experiments
show
that
time
about
0.05
s,
while
(TZNN)
2
means
speed
400
times
TZNN
model.
Moreover,
Peak
Signal
Noise
Ratio
(PSNR)
Number
Pixel
Change
Rate
(NPCR)
algorithm
reach
9.51
99.74%,
respectively,
effectively
validates
excellent
encryption
quality
attack
prevention
ability.
