Electronics,
Journal Year:
2024,
Volume and Issue:
13(13), P. 2647 - 2647
Published: July 5, 2024
To
address
the
consumption
and
security
of
color
images
for
transmission
storage,
a
cross-channel
image
encryption
scheme
based
on
discrete
memristive
coupled
neuron
model
DWT
compression
is
designed
in
this
article.
Firstly,
dynamics
system
are
analyzed
found
to
possess
hyperchaotic
phenomenon,
which
provides
sufficient
scheme.
Secondly,
processed
by
wavelet
transform
(DWT)
has
quarter
previous
capacity.
Then,
combined
with
Hash
function,
resulting
sequence
given
initial
value
system.
Next,
particle
swarm
foraging
algorithm
(PSFA)
better
disrupt
correlation
RGB
channel.
Finally,
complementary
DNA
coding
rule
implemented
further
images.
Simulation
results
show
that
even
lossy
compression,
recovered
can
be
clearly
seen.
The
performance
analysis
illustrates
under
system,
proposed
brings
higher
Mathematics,
Journal Year:
2025,
Volume and Issue:
13(2), P. 182 - 182
Published: Jan. 8, 2025
The
widespread
distribution
of
medical
images
in
smart
healthcare
systems
will
cause
privacy
concerns.
unauthorized
sharing
decrypted
remains
uncontrollable,
though
image
encryption
can
discourage
disclosure.
This
research
proposes
a
double-level
security
scheme
for
to
overcome
this
problem.
proposed
joint
and
watermarking
is
based
on
singular-value
decomposition
(SVD)
chaotic
maps.
First,
three
different
random
sequences
are
used
encrypt
the
LL
subband
discrete
wavelet
transform
(DWT)
domain;
then,
HL
LH
sub-bands
embedded
with
watermark
information;
end,
we
obtain
watermarked
encrypted
inverse
DWT
(IDWT)
transform.
In
study,
SVD
domain.
main
originality
that
decryption
extraction
be
performed
separately.
Experimental
results
demonstrate
superiority
method
key
spaces
(10225),
PSNR
(76.2543),
UACI
(0.3329).
implementation,
following
achievements
attained.
our
meet
requests
levels.
Second,
Third,
detected
Thus,
experiment
analysis
effectiveness
scheme.
Chaos An Interdisciplinary Journal of Nonlinear Science,
Journal Year:
2025,
Volume and Issue:
35(2)
Published: Feb. 1, 2025
Investigating
the
dynamics
of
neural
networks
under
electromagnetic
induction
contributes
to
understanding
complex
electrical
activity
in
brain.
This
paper
proposes
a
memristive
chain
Hopfield
network
(MCHNN)
containing
unidirectional
synaptic
connections,
where
flux-controlled
memristor
mimics
between
neurons.
Under
different
parameters,
equilibria
MCHNN
have
numbers
and
properties,
thus
producing
diverse
dynamics.
Numerical
analysis
shows
that
there
are
coexisting
attractors,
such
as
point
attractors
periodic
chaotic
which
yielded
from
initial
conditions.
Moreover,
memristor’s
internal
parameter
can
be
considered
special
signal
controller.
It
acts
on
oscillation
amplitude
neuron’s
output
signal,
along
with
control
offset-boosting
about
flux.
By
building
feasible
hardware
platform,
numerical
outcomes
supported,
existence
proposed
is
verified.
In
addition,
NIST
test
indicate
has
good
pseudo-randomness
suitable
for
engineering
applications.
Electronics,
Journal Year:
2025,
Volume and Issue:
14(4), P. 766 - 766
Published: Feb. 16, 2025
Locally
active
memristors
with
an
Edge-of-Chaos
kernel
(EOCK)
represent
a
significant
advancement
in
the
simulation
of
neuromorphic
dynamics.
However,
current
research
on
EOCK
remains
at
circuit
level,
without
further
analysis
their
feasibility.
In
this
context,
we
designed
memristor
and
installed
it
third-order
circuit,
where
showed
local
activity
stability
under
defined
voltage
inductance
parameters.
This
behavior
ensured
that
by
varying
input
inductance,
could
effectively
simulate
various
neural
activities,
including
inhibitory
postsynaptic
potential
chaotic
waveforms.
By
subsequently
integrating
into
Hopfield
network
(HNN)
framework
substituting
self-coupling
weight,
observed
rich
spectrum
dynamic
behaviors,
rare
phenomenon
antimonotonicity
bubble
bifurcation.
Finally,
used
hardware
circuits
to
realize
these
generated
phenomena,
confirming
feasibility
memristor.
introducing
HNN
studying
its
implementation,
study
provides
theoretical
insights
empirical
basis
for
developing
systems
replicate
complexity
human
brain
functions.
reference
development
application
future.
Mathematics,
Journal Year:
2025,
Volume and Issue:
13(5), P. 726 - 726
Published: Feb. 24, 2025
In
comparison
with
dissipative
chaos,
conservative
chaos
is
better
equipped
to
handle
the
risks
associated
reconstruction
of
phase
space
due
absence
attractors.
This
paper
proposes
a
novel
five-dimensional
(5D)
memristive
hyperchaotic
system
(CMHS),
by
incorporating
memristors
into
four-dimensional
(4D)
chaotic
(CCS).
We
conducted
comprehensive
analysis,
using
Lyapunov
exponent
diagrams,
bifurcation
portraits,
equilibrium
points,
and
spectral
entropy
maps
thoroughly
verify
system’s
properties.
The
exhibited
characteristics
such
as
hyperchaos
multi-stability
over
an
ultra-wide
range
parameters
initial
values,
accompanied
transient
quasi-periodic
phenomena.
Subsequently,
pseudorandom
sequences
generated
new
were
tested
demonstrated
excellent
performance,
passing
all
tests
set
National
Institute
Standards
Technology
(NIST).
final
stage
research,
image-encryption
application
based
on
5D
CMHS
was
proposed.
Through
security
feasibility
algorithm
confirmed.
