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20
,
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.
1
,
Feb
r
u
ar
y
20
22
,
p
p
.
43
~
51
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I
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R
an
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ty
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d
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tech
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p
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[
1
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.
T
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ated
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aly
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r
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in
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its
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ize
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B
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if
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o
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R
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R
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s
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s
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g
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T
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f
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tiv
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ter
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a
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ticle
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tio
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2
a
d
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in
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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TEL
KOM
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T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
,
Vo
l.
20
,
No
.
1
,
Feb
r
u
ar
y
20
22
:
43
-
51
44
r
an
s
o
m
war
e
d
etec
tio
n
.
Sectio
n
3
th
o
r
o
u
g
h
l
y
d
is
cu
s
s
es
th
e
p
r
o
p
o
s
ed
a
p
p
r
o
ac
h
an
d
d
escr
ib
es
th
e
p
r
e
-
p
r
o
ce
s
s
in
g
,
f
ea
tu
r
es
ex
tr
ac
tio
n
,
f
ea
tu
r
e
s
el
ec
tio
n
,
an
d
m
ac
h
in
e
lea
r
n
in
g
class
if
ier
s
in
a
co
m
p
r
eh
en
s
iv
e
m
an
n
e
r
.
Sectio
n
4
p
r
esen
ts
th
e
d
ata
s
et
co
llect
io
n
.
Sectio
n
5
d
escr
ib
es
th
e
s
im
u
latio
n
p
er
f
o
r
m
an
ce
as
well
a
s
th
e
ex
p
er
im
en
tal
r
esu
lts
with
th
e
d
escr
ip
tio
n
o
f
th
e
ev
alu
atio
n
s
tu
d
ies.
Fin
ally
,
s
ec
tio
n
6
co
m
p
r
is
es th
e
co
n
cl
u
d
in
g
r
em
ar
k
s
.
2.
R
E
L
AT
E
D
W
O
RK
S
T
h
e
n
etwo
r
k
s
ec
u
r
ity
was
f
o
c
u
s
ed
atten
tio
n
b
y
r
esear
ch
er
s
s
in
ce
attac
k
s
o
n
th
e
co
m
p
u
ter
n
etwo
r
k
s
b
ec
am
e
as
m
ajo
r
th
r
ea
ts
to
d
if
f
er
en
t
s
ec
to
r
s
in
clu
d
in
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s
in
g
le
u
s
er
,
co
r
p
o
r
ate,
a
n
d
g
o
v
e
r
n
m
e
n
tal
in
s
titu
tio
n
s
[
5
]
.
On
e
o
f
th
e
m
o
s
t
d
an
g
er
o
u
s
attac
k
s
is
r
an
s
o
m
war
e
wh
er
e
th
e
attac
k
er
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cr
y
p
ts
an
d
lo
ck
s
th
e
v
ictim
's
f
iles
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r
s
y
s
tem
s
an
d
th
en
claim
s
a
p
ay
m
en
t to
u
n
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d
d
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y
p
t f
il
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Ma
n
y
r
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ch
e
r
s
s
t
u
d
ied
d
if
f
er
en
t te
ch
n
iq
u
es
to
d
etec
t a
r
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s
o
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war
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k
.
Kh
ar
az
et
a
l
.
[
6
]
in
t
r
o
d
u
ce
d
a
d
y
n
am
ic
an
al
y
s
is
s
y
s
tem
n
a
m
e
d
UNVE
I
L
(
u
n
iv
eil)
.
T
h
is
tech
n
iq
u
e
m
o
n
ito
r
s
f
iles
y
s
tem
in
p
u
t
/o
u
t
p
u
t
(
I
/O
)
ac
tiv
ity
u
s
in
g
th
e
W
in
d
o
ws
f
iles
y
s
tem
m
in
i
-
f
ilter
d
r
iv
e
r
f
r
a
m
ewo
r
k
.
T
h
ey
r
e
v
ea
led
th
at
th
e
s
y
s
te
m
h
as
th
e
ab
ilit
y
to
d
is
tin
g
u
i
s
h
th
e
b
eh
av
i
o
r
o
f
r
an
s
o
m
wa
r
e
s
u
ch
as
m
alicio
u
s
en
cr
y
p
tio
n
o
f
f
iles
.
B
esid
es,
th
ey
s
h
o
wed
th
at
th
e
p
r
o
p
o
s
ed
te
ch
n
iq
u
e
c
o
u
ld
d
etec
t
1
3
,
6
3
7
r
a
n
s
o
m
war
e
s
am
p
les
with
ze
r
o
f
alse
p
o
s
itiv
e
s
f
r
o
m
v
ar
io
u
s
f
am
ilies
.
Sg
an
d
u
r
r
a
et
a
l
.
[
7
]
p
r
esen
ted
a
d
etec
tio
n
tech
n
i
q
u
e
n
am
ed
E
ld
eRan
wh
ich
is
a
d
y
n
am
ic
ally
b
ased
an
aly
s
is
u
s
in
g
San
d
b
o
x
.
T
h
is
tech
n
iq
u
e
m
o
n
ito
r
s
a
s
et
o
f
r
elev
an
t
f
ea
tu
r
es
in
th
e
f
ir
s
t
3
0
s
ec
o
n
d
s
o
f
th
e
r
an
s
o
m
war
e
ex
ec
u
tio
n
tim
e.
Mu
tu
al
I
n
f
o
r
m
ati
o
n
cr
ite
r
io
n
was
u
s
ed
as
a
f
ea
tu
r
e
s
elec
tio
n
m
eth
o
d
to
s
elec
t
th
e
m
o
s
t
d
is
cr
im
in
atin
g
f
e
atu
r
es
.
Fu
r
th
er
m
o
r
e,
th
ey
u
til
ized
th
e
r
eg
u
la
r
ized
lo
g
is
tic
r
eg
r
ess
io
n
class
if
ier
f
o
r
th
e
class
if
icatio
n
p
r
o
ce
s
s
.
T
h
eir
r
esu
lt
ac
h
ie
v
ed
an
a
r
ea
u
n
d
er
th
e
cu
r
v
e
ar
o
u
n
d
0
.
9
9
5
,
b
u
t
at
th
e
s
am
e
tim
e,
t
h
e
r
esu
lt
h
as
a
r
elativ
ely
h
ig
h
f
alse
p
o
s
itiv
es
r
atio
.
W
ec
k
s
tén
et
a
l
.
[
8
]
u
s
ed
th
e
f
ile
s
y
s
tem
ac
tiv
ity
,
r
eg
is
tr
y
m
an
ip
u
latio
n
,
s
o
f
twar
e
p
r
o
ce
s
s
m
o
n
ito
r
,
a
n
d
r
e
g
s
h
o
ts
f
o
r
tr
ac
k
in
g
th
e
p
r
o
ce
s
s
in
g
ac
tiv
ity
in
ze
ltzer
s
.
T
h
ey
f
o
u
n
d
t
h
at
th
e
cr
y
p
t
o
-
r
a
n
s
o
m
war
e
attac
k
s
d
ep
e
n
d
o
n
th
e
ex
ec
u
tab
le
f
ile
o
f
"v
s
s
ad
m
in
.
ex
e"
.
Vin
ay
ak
u
m
ar
et
a
l
.
[
9
]
b
u
ilt
a
s
y
s
tem
th
at
c
o
llects
th
e
a
p
p
l
icatio
n
p
r
o
g
r
am
m
in
g
in
ter
f
ac
e
(
API
)
s
eq
u
en
ce
s
f
r
o
m
a
s
an
d
b
o
x
to
i
m
p
lem
en
t
th
e
d
y
n
am
ic
an
aly
s
is
.
Sev
en
r
a
n
s
o
m
war
e
f
am
ilies
h
av
e
b
ee
n
u
s
ed
in
th
e
ex
p
er
im
e
n
ts
.
T
h
ey
em
p
lo
y
ed
m
ac
h
in
e
lear
n
in
g
tec
h
n
iq
u
e
r
ep
r
esen
ted
b
y
m
u
ltil
ay
er
p
e
r
ce
p
tr
o
n
(
MLP
)
f
o
r
th
e
class
if
icatio
n
p
r
o
ce
s
s
.
T
h
e
o
u
tco
m
es
ac
h
iev
e
d
a
d
etec
tio
n
ac
cu
r
ac
y
o
f
ar
o
u
n
d
9
8
%
.
C
h
en
et
a
l
.
[
1
0
]
d
esig
n
ed
a
g
en
er
ativ
e
a
d
v
er
s
ar
ial
n
etwo
r
k
(
GAN)
th
at
ca
n
au
to
m
atica
lly
ex
tr
ac
t
d
y
n
am
ic
f
e
atu
r
es
o
f
r
an
s
o
m
war
e
s
am
p
les.
T
h
e
y
u
t
ilized
th
ese
f
ea
tu
r
es
in
d
if
f
e
r
e
n
t
class
if
ier
s
s
u
ch
as;
(
ex
tr
em
e
g
r
ad
ien
t
b
o
o
s
tin
g
(
XGB
)
,
lin
ea
r
d
is
cr
im
in
an
t
an
aly
s
is
(
L
DA
)
,
r
an
d
o
m
f
o
r
est,
n
aïv
e
B
ay
es,
an
d
s
u
p
p
o
r
t
v
ec
t
o
r
m
ac
h
in
e
(
SVM)
.
T
h
e
r
esu
lts
attain
an
ac
cu
r
ac
y
o
f
9
9
%.
T
ak
eu
ch
i
et
a
l
.
[
1
1
]
ap
p
lied
d
y
n
a
m
ic
an
aly
s
is
to
d
et
ec
t r
an
s
o
m
war
e
b
y
lo
o
k
in
g
at
th
e
API
ca
ll
h
is
to
r
y
r
u
n
in
San
d
b
o
x
.
T
h
ey
e
x
tr
ac
t
ed
API
ca
lls
as
f
ea
tu
r
es
o
f
r
an
s
o
m
war
e
an
d
u
s
ed
SVM
to
class
if
y
th
e
d
ataset
wh
ich
c
o
n
tain
s
3
1
2
g
o
o
d
war
e
an
d
2
7
6
r
a
n
s
o
m
war
e
f
iles
.
T
h
e
ex
p
er
im
en
ts
m
an
if
ested
an
ac
cu
r
ac
y
is
ap
p
r
o
x
im
ately
9
7
.
4
8
%.
Al
-
r
im
y
et
a
l
.
[
1
2
]
estab
lis
h
ed
an
e
n
s
em
b
le
-
b
ased
d
etec
t
io
n
m
o
d
el
to
cr
y
p
t
o
-
r
an
s
o
m
war
e.
T
h
ey
co
m
b
in
e
b
etwe
en
s
em
i
-
r
a
n
d
o
m
s
u
b
s
p
ac
e
s
elec
tio
n
(
E
SR
S)
an
d
in
cr
em
en
tal
b
ag
g
i
n
g
(
iB
ag
g
in
g
)
.
T
h
ey
co
m
p
a
r
ed
th
eir
r
esu
lts
with
m
an
y
class
if
ier
s
in
clu
d
i
n
g
Ad
aBo
o
s
t,
R
F,
d
ec
is
io
n
tr
ee
(
DT
)
,
lin
ea
r
r
e
g
r
ess
io
n
(
LR
)
, k
-
n
ea
r
est n
ei
g
h
b
o
r
s
(
k
N
N
)
,
an
d
SVM.
T
h
e
r
esu
lts
s
h
o
wed
an
ac
cu
r
ac
y
o
f
ar
o
u
n
d
0
.
9
7
wh
en
2
0
f
ea
tu
r
es
h
av
e
b
ee
n
u
s
ed
in
th
e
p
r
o
p
o
s
ed
s
y
s
tem
.
Ho
m
ay
o
u
n
et
a
l
.
[
1
3
]
co
m
b
in
ed
b
etwe
en
m
ac
h
in
e
lear
n
in
g
with
s
eq
u
en
tial
p
atter
n
m
in
in
g
to
f
in
d
m
ax
i
m
al
s
eq
u
e
n
tial
p
atter
n
s
(
MSP)
.
T
h
e
d
ataset
co
n
t
ain
s
2
2
0
g
o
o
d
war
e
s
am
p
les
an
d
1
6
2
4
r
an
s
o
m
war
e
s
am
p
les.
T
h
e
s
tu
d
y
co
m
p
r
i
s
ed
f
o
u
r
class
if
ier
s
n
am
ely
,
J
4
8
,
r
a
n
d
o
m
f
o
r
est,
b
ag
g
in
g
,
an
d
ML
P.
T
h
eir
f
in
d
i
n
g
s
ac
h
iev
ed
a
b
o
u
t
9
9
% a
cc
u
r
ac
y
.
Alh
awi
et
a
l
.
[
1
4
]
s
u
g
g
ested
a
m
ac
h
in
e
lear
n
in
g
an
al
y
s
is
m
o
d
el
ca
lled
a
Net
C
o
n
v
er
s
e.
T
h
e
y
ex
tr
ac
ted
f
ea
tu
r
es
f
r
o
m
r
an
s
o
m
war
e
s
am
p
les
tr
af
f
ic.
B
esid
es,
th
ey
u
s
ed
s
ix
ty
p
es
o
f
m
ac
h
in
e
lear
n
in
g
class
if
ier
s
b
y
W
aik
ato
E
n
v
ir
o
n
m
en
t
f
o
r
Kn
o
wled
g
e
An
aly
s
is
(
W
E
KA
)
m
ac
h
in
e
lear
n
i
n
g
to
o
l.
T
h
e
y
u
tili
ze
d
2
1
0
s
am
p
les
f
r
o
m
9
r
a
n
s
o
m
war
e
f
am
ilies
an
d
2
6
4
s
am
p
les
f
o
r
g
o
o
d
war
e.
T
h
ey
f
o
u
n
d
th
at
th
e
d
ec
is
io
n
tr
ee
(
J
4
8
)
class
if
ier
co
u
ld
attain
a
tr
u
e
p
o
s
itiv
e
r
ati
o
(
T
PR
)
o
f
ar
o
u
n
d
9
7
.
1
%.
B
ald
win
an
d
Deh
g
h
an
ta
n
h
a
[
1
5
]
a
ls
o
em
p
lo
y
ed
s
tatic
an
aly
s
is
.
T
h
ey
u
s
ed
SVM
m
ac
h
in
e
lear
n
in
g
tech
n
i
q
u
e
to
class
if
y
f
iv
e
cr
y
p
to
-
r
an
s
o
m
war
e
f
am
ilies
an
d
g
o
o
d
war
e
.
T
h
e
y
h
a
v
e
ex
tr
ac
te
d
o
p
c
o
d
e
f
ea
tu
r
es
to
b
e
u
s
ed
in
th
e
lear
n
in
g
p
r
o
ce
s
s
.
T
h
e
o
u
tco
m
es
em
p
h
asize
d
an
ac
cu
r
ac
y
o
f
9
6
.
5
%.
Z
h
a
n
g
et
a
l.
[
1
6
]
p
r
o
p
o
s
ed
an
ap
p
r
o
ac
h
u
s
in
g
s
tatic
an
al
y
s
is
f
o
r
r
an
s
o
m
war
e
class
if
icatio
n
.
T
h
e
tech
n
iq
u
e
is
b
ased
o
n
th
e
ex
tr
ac
tio
n
o
f
th
e
o
p
co
d
e
s
eq
u
e
n
ce
s
to
in
itiate
th
e
n
-
g
r
am
s
eq
u
e
n
ce
s
f
r
o
m
r
a
n
s
o
m
war
e
s
am
p
les
an
d
ca
lcu
late
th
e
ter
m
f
r
eq
u
en
cy
-
i
n
v
er
s
e
d
o
cu
m
en
t
f
r
e
q
u
en
c
y
(
T
F
-
I
DF)
to
g
en
er
ate
f
ea
tu
r
e
v
ec
to
r
s
.
T
h
en
,
f
iv
e
m
a
ch
in
e
lear
n
in
g
m
eth
o
d
s
ar
e
u
s
ed
f
o
r
class
if
icatio
n
p
u
r
p
o
s
es.
T
h
e
ac
cu
r
ac
y
o
f
th
e
p
r
o
p
o
s
ed
tech
n
iq
u
e
s
h
o
wed
a
p
er
ce
n
tag
e
o
f
9
1
.
4
3
%.
So
m
e
wo
r
k
s
u
s
e
a
h
y
b
r
id
s
y
s
tem
th
at
co
m
b
in
es
s
tatic
an
d
d
y
n
am
ic
a
n
aly
s
es su
ch
as in
[
1
7
]
-
[
19]
.
Sh
au
k
at
a
n
d
R
i
b
e
i
r
o
[
1
7
]
b
u
i
l
t
a
s
y
s
t
e
m
u
s
i
n
g
s
t
r
o
n
g
t
r
a
p
l
a
y
e
r
a
n
d
m
a
c
h
i
n
e
l
e
a
r
n
i
n
g
.
T
h
e
ex
p
e
r
i
m
e
n
t
a
n
a
l
y
s
is
t
h
e
p
r
o
p
o
s
e
d
s
y
s
t
e
m
u
s
i
n
g
7
4
s
a
m
p
l
es
f
r
o
m
1
2
c
r
y
p
t
o
g
r
a
p
h
i
c
r
a
n
s
o
m
w
a
r
e
f
a
m
i
li
e
s
.
T
h
e
b
e
s
t
r
e
s
u
lt
u
s
i
n
g
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
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KOM
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KA
T
elec
o
m
m
u
n
C
o
m
p
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t E
l Co
n
tr
o
l
C
o
mp
a
r
a
tive
a
n
a
lysi
s
o
f v
a
r
io
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ith
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l
.
[
1
8
]
d
e
v
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l
o
p
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an
an
aly
s
is
to
o
l
n
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also
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M
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s
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Fig
u
r
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1
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in
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m
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h
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tag
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tag
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s
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o
f
th
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t c
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to
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Fig
u
r
e
1
.
T
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e
f
r
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m
ewo
r
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f
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an
s
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attac
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d
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,
th
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f
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ex
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d
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f
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b
in
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with
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s
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s
is
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d
elim
in
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is
ass
em
b
lin
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to
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.
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h
en
a
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ep
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s
in
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tep
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s
ed
to
p
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ep
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ataset
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cr
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to
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tially
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n
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m
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elim
in
ated
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o
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s
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if
y
cr
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in
v
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.
B
esid
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f
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r
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in
v
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u
n
d
esira
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in
cr
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in
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tr
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tim
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wasted
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m
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d
f
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r
th
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co
m
p
le
x
ity
to
class
if
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'
s
ar
ch
itectu
r
e
[
2
0
]
.
T
h
e
p
r
e
-
p
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s
s
in
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tep
in
v
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v
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ev
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-
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.
First,
th
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r
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b
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in
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ch
f
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in
to
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f
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3
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in
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a
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in
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f
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es
[
2
1
]
-
[
23]
.
T
h
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f
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t
u
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s
ize
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3
2
b
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as b
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if
ican
t
r
esu
lts
in
m
alwa
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d
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tio
n
[
2
4
]
-
[
27]
.
Seco
n
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ly
,
a
co
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p
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f
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in
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im
p
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tin
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Ac
co
r
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in
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to
H
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a
l.
[
1
3
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,
th
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co
m
m
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n
f
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r
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T
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to
r
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co
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s
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d
th
e
p
er
f
o
r
m
an
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f
d
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class
if
icatio
n
[
2
8
]
.
T
h
e
m
ajo
r
f
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f
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u
l
es
b
as
e
d
o
n
m
i
n
i
m
i
z
i
n
g
c
la
s
s
i
f
ic
a
t
i
o
n
er
r
o
r
d
e
v
e
l
o
p
e
d
b
y
Q
u
i
n
l
a
n
[
2
9
]
.
T
h
e
r
a
n
d
o
m
f
o
r
es
t
al
g
o
r
i
t
h
m
is
c
o
m
b
i
n
i
n
g
t
h
e
r
e
s
u
l
ts
o
f
m
a
n
y
d
e
ci
s
i
o
n
t
r
e
es
i
n
o
r
d
e
r
t
o
i
d
e
n
t
i
f
y
t
h
e
o
p
t
i
m
a
l
s
e
t
o
f
r
u
le
s
t
h
a
t
m
i
n
i
m
iz
e
t
h
e
cl
a
s
s
i
f
ic
a
t
i
o
n
e
r
r
o
r
.
I
t
r
a
n
d
o
m
l
y
s
e
l
e
ct
s
s
u
b
s
a
m
p
l
es
o
f
f
ea
t
u
r
e
s
i
t
e
r
a
ti
v
e
l
y
t
o
t
r
a
i
n
m
u
l
t
i
p
le
d
e
c
is
i
o
n
t
r
e
es
a
n
d
t
h
e
n
b
u
i
l
t
t
h
e
c
la
s
s
i
f
i
e
r
w
h
i
c
h
c
a
n
p
r
e
d
i
c
t
i
n
t
h
e
te
s
t
i
n
g
p
h
a
s
e
[
3
0
]
-
[
32]
.
T
h
e
r
ad
ial
b
asis
f
u
n
ctio
n
s
(
R
B
F)
is
a
s
u
p
er
v
is
ed
lear
n
in
g
tech
n
iq
u
e
th
at
m
in
im
izin
g
s
q
u
ar
e
d
er
r
o
r
.
I
t
is
a
n
eu
r
al
n
etwo
r
k
t
h
at
h
as
r
ad
ially
s
y
m
m
etr
ic
f
u
n
ctio
n
al
ac
tiv
atio
n
s
in
th
e
h
i
d
d
en
lay
e
r
,
wh
ich
m
ea
n
s
its
o
u
tp
u
t
d
ep
e
n
d
s
o
n
th
e
d
is
tan
ce
b
etwe
en
th
e
i
n
p
u
t
d
ata
v
ec
to
r
an
d
th
e
weig
h
t
v
ec
t
o
r
,
ca
lled
t
h
e
ce
n
ter
[
3
3
]
.
T
h
e
f
itn
ess
f
u
n
ctio
n
m
ea
s
u
r
ed
is
u
t
ilized
to
r
ea
ch
th
e
b
est
ac
cu
r
ac
y
in
r
ad
ial
b
asis
f
u
n
ctio
n
n
etwo
r
k
(
R
B
FN
)
.
Ma
n
y
f
itn
ess
f
u
n
ctio
n
s
ca
n
b
e
u
s
ed
to
m
ea
s
u
r
e
an
er
r
o
r
.
T
h
e
m
e
an
s
q
u
ar
e
er
r
o
r
(
MSE
)
h
as
b
ee
n
u
s
ed
in
cu
r
r
en
t
r
esear
ch
.
T
h
e
p
s
eu
d
o
-
co
d
e
o
f
th
e
p
r
o
p
o
s
ed
m
et
h
o
d
wh
ich
d
escr
ib
es
th
e
p
r
o
ce
d
u
r
e
o
f
s
ele
ctin
g
th
e
im
p
o
r
tan
t
f
ea
tu
r
es
an
d
th
e
p
s
eu
d
o
-
c
o
d
e
f
o
r
th
e
co
m
p
a
r
is
o
n
o
f
th
e
m
a
ch
in
e
lear
n
in
g
m
o
d
els
is
illu
s
tr
ated
as
s
h
o
wn
in
Alg
o
r
ith
m
1
a
n
d
Alg
o
r
ith
m
2
r
esp
ec
tiv
el
y.
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l Co
n
tr
o
l
C
o
mp
a
r
a
tive
a
n
a
lysi
s
o
f v
a
r
io
u
s
ma
ch
in
e
lea
r
n
in
g
a
lg
o
r
ith
ms fo
r
… (
B
a
n
Mo
h
a
mme
d
K
h
a
mma
s
)
47
4.
DATAS
E
T
CO
L
L
E
C
T
I
O
N
T
wo
ty
p
es
o
f
e
x
ec
u
tab
le
f
iles
a
r
e
u
s
ed
in
th
e
p
r
esen
t
s
tu
d
y
:
r
a
n
s
o
m
war
e
ex
ec
u
tab
le
f
iles
an
d
g
o
o
d
war
e
ex
ec
u
tab
le
f
iles
.
T
h
e
r
an
s
o
m
war
e
f
iles
ar
e
d
o
wn
lo
a
d
ed
f
r
o
m
v
ir
u
s
to
tal
[
3
4
]
,
wh
ile
th
e
g
o
o
d
war
e
f
iles
ar
e
co
llected
f
r
o
m
th
e
p
o
r
ta
b
le
ap
p
s
p
latf
o
r
m
[
3
5
]
an
d
win
d
o
ws
p
latf
o
r
m
.
T
h
e
to
tal
n
u
m
b
er
o
f
r
an
s
o
m
war
e
f
iles
is
8
4
0
f
r
o
m
th
r
ee
d
if
f
er
e
n
t
f
am
ili
es
o
f
r
an
s
o
m
wa
r
e;
C
er
b
er
,
L
o
ck
y
,
a
n
d
T
eslaC
r
y
p
t
s
im
ilar
to
[
3
6
]
.
T
h
e
co
llected
g
o
o
d
war
e
f
iles
h
av
e
alm
o
s
t
th
e
s
am
e
s
ize
as
r
an
s
o
m
war
e
f
iles
an
d
th
e
s
am
e
n
u
m
b
er
o
f
8
4
0
f
il
es.
Vir
u
s
to
tal.
co
m
h
as
b
ee
n
u
s
ed
to
c
h
ec
k
th
e
g
o
o
d
war
e
an
d
r
an
s
o
m
war
e.
5
0
%
o
f
th
e
d
ataset
is
u
s
ed
in
th
e
tr
ain
in
g
s
tag
e,
wh
ile
th
e
r
est 5
0
% o
f
th
e
d
ataset
is
u
s
ed
in
th
e
test
in
g
s
tag
e
in
o
r
d
e
r
to
av
o
i
d
th
e
p
r
o
b
lem
o
f
th
e
i
m
b
alan
ce
d
d
a
taset.
I
n
th
e
p
r
esen
t w
o
r
k
,
two
o
p
e
r
a
tin
g
s
y
s
tem
s
h
av
e
b
ee
n
u
s
ed
t
o
im
p
lem
en
t th
e
p
r
o
p
o
s
ed
m
et
h
o
d
an
d
g
ettin
g
th
e
r
esu
lts
.
T
h
e
f
ir
s
t
o
n
e
is
W
in
d
o
ws
1
0
,
C
o
r
e
i7
C
PU
with
8
co
r
e,
an
d
1
6
GB
o
f
R
AM
.
T
h
e
s
ec
o
n
d
o
p
er
atin
g
s
y
s
tem
is
L
in
u
x
4
.
1
.
5.
E
XP
E
R
I
M
E
N
T
A
L
R
E
SU
L
T
S
AND
A
NALY
SI
S
O
n
e
o
f
t
h
e
c
h
a
l
le
n
g
e
s
t
h
a
t
f
a
c
e
t
h
e
r
es
e
a
r
c
h
e
r
s
i
n
t
h
e
d
et
e
c
ti
o
n
s
y
s
t
e
m
i
s
t
h
e
s
c
a
la
b
i
l
it
y
w
h
i
ch
i
n
v
o
l
v
e
s
;
h
i
g
h
s
t
o
r
a
g
e
r
e
q
u
i
r
e
m
e
n
t
s
,
m
o
r
e
-
t
i
m
e
f
o
r
i
m
p
l
e
m
e
n
t
a
t
i
o
n
,
a
n
d
c
o
m
p
l
e
x
i
t
y
.
T
o
a
v
o
i
d
t
h
e
s
c
a
l
a
b
i
li
t
y
e
f
f
e
c
ts
,
d
i
f
f
e
r
e
n
t
s
iz
e
s
o
f
at
t
r
i
b
u
te
s
a
r
e
t
e
s
t
e
d
u
s
i
n
g
G
R
t
o
f
i
n
d
t
h
e
b
e
s
t
s
i
z
e
t
h
a
t
o
f
f
e
r
s
h
i
g
h
e
r
a
c
cu
r
a
c
y
i
n
r
e
a
s
o
n
a
b
le
f
e
a
t
u
r
e
s
i
z
e
.
T
h
e
n
u
m
b
e
r
o
f
1
0
0
0
a
t
t
r
i
b
u
t
es
is
f
o
u
n
d
t
o
b
e
th
e
b
e
s
t
i
n
t
e
r
m
s
o
f
a
c
c
u
r
a
c
y
a
n
d
t
i
m
e
-
c
o
n
s
u
m
e.
F
i
g
u
r
e
2
s
h
o
ws
t
h
e
s
i
m
u
l
a
ti
o
n
o
f
t
h
e
t
r
a
i
n
i
n
g
a
n
d
t
es
t
i
n
g
s
t
a
g
es
f
o
r
t
h
e
c
l
a
s
s
i
f
i
e
r
s
u
s
e
d
i
n
t
h
e
p
r
o
p
o
s
e
d
m
e
t
h
o
d
.
I
n
o
r
d
e
r
to
s
tu
d
y
th
e
ef
f
ec
tiv
e
n
ess
o
f
th
e
class
if
ier
s
,
th
e
f
als
e
p
o
s
itiv
e
r
atio
(
FP
R
)
,
f
alse
n
e
g
ativ
e
r
atio
(
FNR
)
,
tr
u
e
n
e
g
a
t
i
v
e
r
atio
(
T
N
R
)
,
tr
u
e
p
o
s
itiv
e
r
atio
(
T
PR
)
,
a
n
d
ac
c
u
r
ac
y
h
av
e
b
ee
n
u
s
ed
in
cu
r
r
e
n
t
wo
r
k
[
3
6
]
,
as f
o
llo
ws
:
=
+
,
=
+
,
=
+
=
+
,
=
+
+
+
+
,
F
−
M
e
a
s
ure
=
2
∗
(
∗
)
+
W
h
er
e:
T
r
u
e
p
o
s
itiv
e
(
T
P):
th
e
n
u
m
b
e
r
o
f
attac
k
f
iles
th
at
ar
e
ex
ac
tl
y
p
r
ed
icted
as
attac
k
f
iles
.
T
r
u
e
n
e
g
ativ
e
(
T
N)
: th
e
n
u
m
b
er
o
f
g
o
o
d
wa
r
e
f
iles
th
at
ar
e
e
x
ac
tly
class
if
ied
as g
o
o
d
war
e
f
iles
.
Fals
e
p
o
s
itiv
e
(
FP
)
:
th
e
n
u
m
b
e
r
o
f
g
o
o
d
wa
r
e
f
iles
th
at
ar
e
in
c
o
r
r
ec
tly
p
r
ed
icted
as
attac
k
f
il
es
.
Fals
e
n
eg
ativ
e
(
FN)
:
th
e
n
u
m
b
er
o
f
attac
k
f
iles
th
at
ar
e
in
co
r
r
ec
tly
p
r
ed
icted
as g
o
o
d
war
e
f
iles
.
Fig
u
r
e
2
.
T
h
e
s
im
u
latio
n
o
f
th
e
tr
ain
in
g
an
d
test
in
g
p
h
ase
T
o
m
e
a
s
u
r
e
th
e
ac
cu
r
ac
y
o
f
d
etec
tio
n
f
o
r
d
if
f
er
en
t
class
if
ier
s
,
th
e
ex
p
er
im
en
ts
ar
e
s
et
to
th
e
d
ef
au
lt
n
u
m
b
er
f
o
r
all
th
e
p
ar
am
eter
s
o
f
th
e
d
if
f
er
en
t c
lass
if
ier
s
.
T
h
e
r
esu
lt o
f
th
e
d
etec
tio
n
ac
cu
r
a
cy
u
s
in
g
a
d
if
f
er
en
t
n
u
m
b
er
o
f
th
e
attr
ib
u
te
(
f
r
o
m
1
0
0
0
to
7
0
0
0
)
is
s
h
o
wn
in
Fig
u
r
e
3
w
h
ich
illu
s
tr
ates th
e
b
est ac
cu
r
ac
y
(
9
7
.
7
3
%
)
wh
en
u
s
in
g
R
F
with
1
0
0
0
attr
ib
u
tes.
Fig
u
r
e
4
s
h
o
ws
th
e
tim
e
n
ee
d
s
f
o
r
d
if
f
er
en
t
class
if
ier
s
t
o
p
r
ed
ict
th
e
test
in
g
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6
9
3
0
TEL
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
,
Vo
l.
20
,
No
.
1
,
Feb
r
u
ar
y
20
22
:
43
-
51
48
d
ataset
wh
en
th
e
s
ize
o
f
attr
ib
u
tes
is
with
in
th
e
r
an
g
e
f
r
o
m
(
1
0
0
0
to
7
0
0
0
)
.
T
h
e
r
esu
lts
o
f
attr
ib
u
tes
less
th
an
(
<1
0
0
0
)
a
n
d
m
o
r
e
t
h
an
(
>7
0
0
0
)
ar
e
n
o
t
i
n
clu
d
e
d
in
t
h
e
cu
r
r
en
t
an
aly
s
is
b
ec
au
s
e
t
h
e
d
ete
ctio
n
ac
cu
r
ac
y
f
o
r
th
ese
r
an
g
es
is
v
er
y
lo
w
f
o
r
d
if
f
er
en
t
class
if
ier
s
.
T
h
is
i
s
in
l
in
e
with
[
2
4
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u
r
e
4
d
ep
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at
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aster
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tio
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r
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em
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te
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Evaluation Warning : The document was created with Spire.PDF for Python.
T
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L
KOM
NI
KA
T
elec
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m
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p
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I
t
ca
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th
at
th
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r
an
d
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m
f
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No.
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Attributes
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0
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0
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1
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TN
R
No,
of
Attributes
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4
8
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B
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RF
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6
9
3
0
TEL
KOM
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KA
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m
m
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tr
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Vo
l.
20
,
No
.
1
,
Feb
r
u
ar
y
20
22
:
43
-
51
50
T
h
e
r
esu
lts
illu
s
tr
ated
th
at
th
e
r
an
d
o
m
f
o
r
est
ac
h
iev
ed
t
h
e
b
e
s
t
r
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lts
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f
all
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m
ea
s
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ed
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ar
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s
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d
if
f
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n
t
s
izes
o
f
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u
tes
as
f
o
llo
ws:
(
f
-
m
ea
s
u
r
e
is
9
7
.
8
,
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ec
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ll
is
9
9
.
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OC
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.
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d
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9
)
.
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e
tim
e,
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lt
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at
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en
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f
th
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-
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in
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ac
c
u
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.
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h
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p
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eth
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RE
F
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R
E
NC
E
S
[
1
]
D
.
F
.
S
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t
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