passer,
Journal Year:
2024,
Volume and Issue:
6(1), P. 130 - 137
Published: Feb. 17, 2024
Malware
is
a
severe
threat
to
the
network
and
host
system
security.
It
frequently
primary
cause
of
many
events,
such
as
Distributed
Denial-of-Service
attacks
(DDoS),
spam
emails,
etc.
The
detection
elimination
malware
are
hence
subjects
intensive
study.
As
result,
antivirus
programs
have
been
created
help
identify
remove
malware.
issue
with
this
software
that
it
uses
an
obsolete
method
detecting
malware,
signature-matching
approach,
which
forms
code
obfuscation
may
deceive.
Since
then,
has
resulted
in
creation
new
generation
metamorphic
polymorphic
In
paper,
we
investigated
using
Instance-Based
Learner
(IBK)
algorithm
for
obfuscated
given
dataset.
Utilizing
Lazy
IBK
technique
beneficial
because
can
accurately
detect
classify
dataset
Manhattan
Distance
function,
one
most
well-known
distance
metric
functions
measuring
between
points.
We
analysed
58,596
records
selected
from
3
categories.
was
illustrated
on
utilizing
10-fold
cross-validation.
results
demonstrate
proposed
quickly
accuracy
99.99%,
precision
100%,
recall
respectively.
Biomimetics,
Journal Year:
2025,
Volume and Issue:
10(5), P. 302 - 302
Published: May 9, 2025
In
this
study,
a
brand-new
algorithm
called
the
Comprehensive
Adaptive
Enterprise
Development
Optimizer
(CAED)
is
proposed
to
overcome
drawbacks
of
(ED)
in
complex
optimization
tasks.
particular,
it
aims
tackle
problems
slow
convergence
and
low
precision.
To
enhance
algorithm’s
ability
break
free
from
local
optima,
lens
imaging
reverse
learning
approach
incorporated.
This
creates
solutions
by
utilizing
concepts
optical
imaging.
As
result,
expands
search
range
boosts
probability
finding
superior
beyond
optima.
Moreover,
an
environmental
sensitivity-driven
adaptive
inertial
weight
developed.
dynamically
modifies
equilibrium
between
global
exploration,
which
enables
for
new
promising
areas
solution
space,
development,
centered
on
refining
close
currently
best-found
areas.
evaluate
efficacy
CAED,
23
benchmark
functions
CEC2005
are
chosen
testing.
The
performance
CAED
contrasted
with
that
nine
other
algorithms,
such
as
Particle
Swarm
Optimization
(PSO),
Gray
Wolf
(GWO),
Antlion
(AOA).
Experimental
findings
show
unimodal
functions,
standard
deviation
almost
0,
reflects
its
high
accuracy
stability.
case
multimodal
optimal
value
obtained
notably
better
than
those
further
emphasizing
outstanding
performance.
also
applied
engineering
challenges,
like
design
cantilever
beams
three-bar
trusses.
For
beam
problem,
achieved
13.3925,
merely
0.0098.
truss
259.805047,
extremely
small
1.11
×
10−7.
These
results
much
traditional
ED
comparative
algorithms.
Overall,
through
coordinated
implementation
multiple
strategies,
exhibits
precision,
strong
robustness,
rapid
when
searching
spaces.
such,
offers
efficient
solving
various
problems.
