IEEE Transactions on Network Science and Engineering,
Journal Year:
2023,
Volume and Issue:
11(2), P. 2215 - 2222
Published: Dec. 12, 2023
This
paper
focuses
on
the
design
of
stealthy
attacks
for
cyber-physical
systems
(CPSs)
with
unknown
but
bounded
process
disturbances
and
measurement
noises.
To
effectively
address
impact
state
estimation,
interval
estimation
techniques
are
utilized.
In
this
work,
optimal
attack
objective
that
forces
system
out
range
is
obtained,
as
adversaries
do
not
need
to
require
information
about
estimator
coordinate
transformation.
Then,
considering
detection
based
decoupled
parity
equations,
final
sequence
derived
by
iteratively
solving
linear
programming
problem,
constraints
remain
at
current
time
affect
residuals
afterward.
Furthermore,
condition
existence
satisfying
presented.
Finally,
effectiveness
proposed
strategy
verified
a
numerical
example.
IEEE Internet of Things Journal,
Journal Year:
2024,
Volume and Issue:
11(20), P. 33337 - 33345
Published: July 10, 2024
This
paper
primarily
explores
the
challenge
of
stealthy
innovation-based
attacks
within
cyber–physical
systems.
An
optimal
covert
false
data
injection
attack
strategy
is
proposed,
which
involves
modifying
historical
and
current
system
innovations
by
adversary.
The
approach
differs
from
existing
ones
in
that
it
combines
innovation
results.
Utilizing
less
prior
knowledge
to
obtain
made
adversary
previous
time
step
integrating
them
with
innovations,
a
more
generalized
devised,
leading
further
performance
enhancement
estimation.
Through
design
an
strategy,
aims
ensure
stealthiness
while
maximizing
remote
state
estimation
error
covariance
system.
Subsequently,
formulated
as
convex
optimization
problem
achieve
maximum
error.
Finally,
two
simulation
examples,
integrated
real-world
systems,
were
utilized
validate
theoretical
International Journal of Robust and Nonlinear Control,
Journal Year:
2023,
Volume and Issue:
34(5), P. 3335 - 3350
Published: Dec. 18, 2023
Abstract
This
paper
presents
a
prescribed
performance‐based
model‐free
adaptive
resilient
control
(MFARC)
algorithm
to
address
the
realization
of
trajectory
tracking
for
nonlinear
cyber‐physical
systems
(CPSs)
under
aperiodic
denial‐of‐service
(DoS)
attacks.
Firstly,
an
equivalent
linear
model
is
constructed
by
utilizing
dynamic
linearization
technique,
and
novel
output
transformation
approach
applied
convert
constrained
system
unconstrained
one
MFARC
framework.
Then,
attack
compensation
mechanism
presented
estimate
unavailable
signal
when
attacks
are
active,
such
that
negative
impact
DoS
can
be
compensated.
Based
on
mechanism,
strategy
steer
error
predetermined
neighborhood
around
origin
in
presence
A
major
improvement
our
result
over
previous
studies
introduction
performance
(PPC)
into
while
reasonably
restricting
transient
steady‐state
even
occur.
Additionally,
we
utilize
matrix
inequality
(LMI)
toolbox
obtain
better
suitably
adjusting
time‐varying
parameters,
which
superior
practical
applications.
Ultimately,
results
indicate
consistently
remains
within
predefined
bound.
IEEE Transactions on Cybernetics,
Journal Year:
2024,
Volume and Issue:
55(2), P. 897 - 904
Published: Dec. 3, 2024
This
article
studies
the
problem
of
designing
optimal
strictly
stealthy
attack
against
remote
state
estimation
in
cyber-physical
systems,
where
attacker
possesses
both
intercepted
information
and
side
sensed
by
an
additional
sensor.
Combining
with
information,
a
novel
corrupted
innovation-based
model
higher-design
flexibility
is
proposed,
analytical
strategy
derived.
Compared
existing
results
based
on
nominal
innovation,
proposed
eliminates
need
for
filter
to
calculate
which
saves
computational
resources,
can
achieve
greater
performance
degradation
estimation.
Finally,
order
verify
superiority
effectiveness
results,
numerical
examples
are
given.
