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to
r
(
UR
L
)
li
n
k
s
w
i
th
in
th
e
m
e
s
s
a
g
es.
W
h
en
t
h
e
u
s
er
s
cl
ick
o
n
th
e
lin
k
,
it
w
i
ll
lead
to
d
o
w
n
lo
ad
in
g
t
h
e
s
m
a
ll
p
r
o
g
r
a
m
s
a
n
d
th
e
n
i
n
s
tal
led
an
d
ex
ec
u
ted
.
T
h
e
m
al
w
ar
e
p
r
o
g
r
a
m
s
ar
e
m
ad
e
in
telli
g
e
n
t
to
f
i
n
d
th
e
co
m
p
lete
o
p
er
atin
g
en
v
ir
o
n
m
e
n
t
an
d
th
en
f
i
n
d
th
e
cr
itical
o
p
er
atio
n
s
th
at,
w
h
en
in
itiate
d
,
d
am
ag
e
th
e
m
o
b
ile
p
h
o
n
e
s
y
s
te
m
.
T
h
e
SMS
is
b
u
ilt
w
it
h
m
alicio
u
s
lin
k
s
o
r
UR
L
s
w
h
ich
ca
n
ea
s
il
y
co
n
n
e
ct
to
th
e
w
eb
s
ite
w
it
h
t
h
at
lin
k
.
A
t
tack
er
s
u
s
e
a
v
ar
iet
y
o
f
p
h
y
s
ical
an
d
v
ir
t
u
a
l
m
ea
n
s
to
s
p
r
ea
d
m
al
w
ar
e
th
at
af
f
ec
ts
d
ev
ice
s
.
Ma
licio
u
s
p
r
o
g
r
a
m
s
ca
n
b
e
d
eliv
er
ed
th
r
o
u
g
h
a
u
n
iv
er
s
al
s
er
ial
b
u
s
(
USB
)
-
b
ased
s
y
s
te
m
o
r
s
p
r
ea
d
o
v
er
th
e
in
ter
n
et
th
r
o
u
g
h
d
o
w
n
lo
ad
s
,
w
h
ich
a
u
to
m
atica
ll
y
d
o
w
n
lo
ad
m
alicio
u
s
p
r
o
g
r
a
m
s
to
s
y
s
te
m
s
w
ith
o
u
t t
h
e
u
s
er
's ap
p
r
o
v
al
o
r
k
n
o
w
led
g
e.
So
p
h
is
ticated
m
al
w
ar
e
a
ttack
s
o
f
te
n
f
ea
t
u
r
e
a
co
m
m
a
n
d
a
n
d
co
n
tr
o
l
s
er
v
er
t
h
at
a
llo
w
s
a
ttack
er
s
to
co
m
m
u
n
icate
w
it
h
t
h
e
in
f
ec
te
d
s
y
s
te
m
s
,
i
n
f
iltra
te
d
ata,
an
d
r
em
o
tel
y
co
n
tr
o
l
th
e
co
m
p
r
o
m
is
ed
d
ev
ice.
T
h
e
p
r
ac
tice
in
w
h
ic
h
an
attac
k
er
s
en
d
s
e
m
ails
p
u
r
p
o
r
tin
g
to
b
e
f
r
o
m
r
ep
u
tab
le
co
m
p
an
ies to
i
n
d
u
ce
in
d
i
v
id
u
al
s
to
r
ev
ea
l
p
er
s
o
n
al
in
f
o
r
m
atio
n
is
ca
lled
p
h
is
h
i
n
g
w
h
en
a
s
i
m
il
ar
ty
p
e
o
f
attac
k
i
s
d
o
n
e
u
s
i
n
g
SMS.
I
t
is
k
n
o
w
n
as
s
m
is
h
in
g
.
I
n
s
m
i
s
h
in
g
,
a
m
es
s
ag
e
co
n
tain
i
n
g
a
co
m
p
u
t
er
ad
d
r
ess
is
d
is
tr
ib
u
ted
b
y
t
h
e
ag
g
r
ess
o
r
to
th
e
p
er
s
o
n
in
q
u
esti
o
n
to
d
iv
er
tin
g
th
e
u
s
er
to
a
w
eb
s
ite
t
h
at
co
llects
th
e
d
ata
ab
o
u
t
th
e
u
s
er
s
an
d
cr
ea
tes
a
r
ec
o
r
d
h
av
i
n
g
th
e
d
ata
co
llected
f
r
o
m
th
e
u
s
er
.
T
h
e
d
ata
is
th
e
n
u
s
e
d
f
o
r
ch
ec
k
i
n
g
a
n
d
d
er
iv
in
g
th
e
m
o
s
t
co
n
f
id
en
t
ial
in
f
o
r
m
atio
n
t
h
r
o
u
g
h
b
r
u
te
f
o
r
ce
m
et
h
o
d
s
.
So
m
eti
m
e
s
p
r
o
g
r
a
m
s
ar
e
d
o
w
n
lo
ad
ed
as
p
o
p
-
u
p
p
r
o
g
r
a
m
s
,
an
d
th
e
s
a
m
e
is
e
x
ec
u
t
ed
as
b
ac
k
g
r
o
u
n
d
p
r
o
ce
s
s
es
w
h
e
n
allo
w
ed
b
y
th
e
u
s
er
s
.
User
s
ar
e
al
w
a
y
s
h
ar
d
-
p
r
ess
ed
,
ask
i
n
g
th
e
u
s
er
s
to
en
ab
le
t
h
e
pop
-
u
p
s
to
d
is
p
la
y
th
e
p
ag
e
t
h
e
y
ar
e
lo
o
k
in
g
at
p
r
o
m
p
tl
y
.
So
m
eti
m
es,
t
h
e
u
s
er
s
ar
e
p
r
o
m
p
ted
to
s
u
b
s
cr
ib
e
to
th
e
s
ite
to
b
etter
u
s
e
th
e
f
ac
i
l
it
y
,
co
lle
ct
i
m
p
o
r
tan
t
in
f
o
r
m
atio
n
ab
o
u
t
t
h
e
r
eg
i
s
tr
atio
n
s
'
n
a
m
es,
a
n
d
u
s
e
t
h
e
s
a
m
e
f
o
r
attac
k
i
n
g
.
Af
ter
r
eg
i
s
t
r
atio
n
is
d
o
n
e,
t
h
e
u
s
er
s
ar
e
d
is
p
la
y
ed
w
i
th
w
e
b
s
i
tes p
r
o
v
id
ed
w
it
h
th
e
co
n
tact
i
n
f
o
r
m
atio
n
t
h
at
t
h
e
u
s
er
ca
n
u
s
e
to
eith
er
s
e
n
d
an
e
m
ail
o
r
m
a
k
e
a
ca
ll.
T
h
e
attac
k
er
co
llects
d
etails
i
n
au
t
h
e
n
t
icatio
n
an
d
t
h
en
u
s
e
s
it
to
lo
g
in
to
d
if
f
er
en
t
s
ites
,
esp
ec
iall
y
to
th
e
s
ites
r
elate
d
to
f
in
an
cia
l
an
d
e
-
co
m
m
er
ce
tr
an
s
ac
tio
n
s
.
T
h
e
m
al
icio
u
s
w
e
b
s
ites
lu
r
e
th
e
u
s
er
s
in
d
is
co
u
n
t
s
,
p
r
o
m
o
tio
n
a
l c
o
d
es,
s
u
b
s
cr
i
p
tio
n
s
,
an
d
co
u
p
o
n
s
f
o
r
g
etti
n
g
d
is
co
u
n
tin
g
.
T
h
er
e
a
r
e
m
an
y
s
u
ch
w
a
y
s
o
f
attac
k
i
n
g
m
o
b
ile
ap
p
licatio
n
s
,
as
an
n
u
n
ciate
d
in
th
e
liter
at
u
r
e.
T
h
er
e
is
a
co
n
tin
u
o
u
s
r
eq
u
ir
e
m
e
n
t
to
m
o
n
ito
r
o
n
g
o
in
g
ap
p
licatio
n
s
'
b
eh
av
io
r
an
d
f
i
n
d
if
a
n
y
m
al
war
e
is
o
p
er
atin
g
an
d
m
iti
g
ati
n
g
th
e
s
a
m
e
i
f
it
ex
i
s
t
s
.
T
h
ey
'
r
e
all
also
co
n
ti
n
u
o
u
s
r
eq
u
ir
e
m
en
ts
to
f
i
n
d
if
a
n
y
m
al
w
ar
e
is
i
n
co
m
in
g
.
I
f
f
o
u
n
d
,
ap
p
r
o
p
r
iate
ac
tio
n
s
ar
e
to
b
e
tak
en
.
Ma
l
w
ar
e
c
an
b
e
in
j
ec
ted
th
r
o
u
g
h
e
m
a
il
s
,
w
eb
p
ag
es,
SM
S
m
es
s
ag
e
s
,
an
d
o
th
er
co
m
m
u
n
icatio
n
m
ea
n
s
.
Ma
n
y
m
et
h
o
d
s
h
a
v
e
also
b
ee
n
p
r
o
p
o
s
ed
i
n
th
e
liter
at
u
r
e
f
o
r
d
etec
tin
g
m
al
w
ar
e
en
ter
i
n
g
th
r
o
u
g
h
d
if
f
er
en
t
p
r
o
ce
s
s
es.
Ma
n
y
w
o
r
k
i
n
g
s
it
u
atio
n
s
lea
d
to
m
al
w
ar
e
,
an
d
a
d
if
f
er
e
n
t
m
eth
o
d
n
ee
d
s
to
b
e
co
n
s
id
er
ed
f
o
r
d
etec
tin
g
a
n
d
m
i
tig
ati
n
g
m
al
w
ar
e
.
Ma
l
w
ar
e
i
s
ca
u
s
ed
t
h
r
o
u
g
h
d
i
f
f
er
en
t
m
ec
h
a
n
i
s
m
s
esp
ec
iall
y
in
f
licted
t
h
r
o
u
g
h
SM
S
m
e
s
s
ag
e
s
.
T
h
e
s
ig
n
at
u
r
e
o
f
th
e
Me
s
s
a
g
es
th
at
ca
u
s
e
th
e
m
al
w
ar
e
v
ar
ies
g
r
ea
tl
y
.
A
s
i
n
g
le
m
et
h
o
d
ca
n
n
o
t
id
en
ti
f
y
all
th
e
s
ig
n
at
u
r
es
o
f
th
e
SMS
m
e
s
s
a
g
es
t
h
at
i
n
f
lict
th
e
m
al
w
ar
e
.
Ma
l
w
ar
e
i
s
tr
i
g
g
er
ed
t
h
r
o
u
g
h
e
m
ail
s
,
w
eb
s
u
r
f
i
n
g
,
an
d
w
h
e
n
t
h
ir
d
-
p
ar
t
y
A
P
P
S
ar
e
in
s
tal
led
.
A
co
m
p
r
eh
e
n
s
i
v
e
m
al
w
ar
e
m
an
a
g
e
m
en
t
m
o
d
el
is
r
eq
u
ir
ed
th
a
t
ca
ter
s
to
all
t
y
p
es
o
f
SMS
s
ig
n
a
tu
r
es,
m
et
h
o
d
s
th
r
o
u
g
h
w
h
ic
h
th
e
m
al
w
ar
e
i
s
in
f
lic
t
ed
,
h
o
w
m
al
w
ar
e
is
m
iti
g
ated
,
an
d
h
o
w
co
u
n
ter
ac
t
io
n
s
ar
e
tak
e
n
w
h
e
n
i
n
cid
en
ce
s
o
f
th
e
m
al
w
ar
e
ar
e
tr
ac
ed
.
A
co
m
p
r
eh
e
n
s
i
v
e
ar
ch
itect
u
r
e
h
as
to
b
e
in
v
est
ig
ated
a
n
d
i
m
p
le
m
e
n
ted
a
s
an
o
t
h
er
A
P
P
th
at
ca
tc
h
e
s
h
o
ld
o
f
ev
er
y
m
e
s
s
a
g
e
b
y
n
eg
o
tiati
n
g
w
it
h
t
h
e
An
d
r
o
id
o
p
er
atin
g
s
y
s
te
m
,
i
n
s
p
ec
ti
n
g
th
e
s
a
m
e
f
o
r
th
e
ex
is
te
n
ce
o
f
th
e
m
al
w
ar
e
,
an
d
m
i
tig
a
tin
g
th
e
s
a
m
e
if
a
v
aila
b
le.
T
h
e
d
etec
tio
n
is
to
b
e
d
o
n
e
b
y
s
u
b
j
ec
tin
g
th
e
in
co
m
i
n
g
m
e
s
s
a
g
e
to
d
if
f
er
en
t
m
ac
h
i
n
e
lear
n
i
n
g
m
o
d
el
s
s
i
n
ce
n
o
s
in
g
le
m
o
d
el
w
ill
r
ec
o
g
n
ize
th
e
d
i
f
f
er
e
n
t
s
ig
n
at
u
r
es
o
f
t
h
e
i
m
a
g
es
th
at
in
d
icat
e
t
h
e
m
al
w
ar
e
p
r
ese
n
c
e.
I
f
m
al
w
ar
e
i
s
n
o
t
tr
ac
ed
,
t
h
en
th
e
m
ess
a
g
e
i
s
r
elea
s
ed
b
ac
k
.
2.
RE
L
AT
E
D
WO
RK
B
elao
u
ed
et
a
l.
[
1
]
h
av
e
p
r
o
p
o
s
ed
d
etec
tin
g
t
h
e
m
al
w
ar
e
b
as
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o
n
d
etec
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g
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e
p
r
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e
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ch
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ea
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s
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d
e
ch
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g
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o
cc
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r
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T
h
ey
h
a
v
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u
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a
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ilter
w
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ap
p
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tch
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ata.
T
h
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4752
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n
d
o
n
esia
n
J
E
lec
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n
g
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C
o
m
p
Sci,
Vo
l.
22
,
No
.
3
,
J
u
n
e
2
0
2
1
:
1
5
8
0
-
1
5
8
9
1582
p
o
ly
m
o
r
p
h
ic
an
d
m
e
ta
m
o
r
p
h
i
c
tech
n
iq
u
es
ar
e
m
o
s
tl
y
b
ased
o
n
p
atter
n
m
atch
in
g
.
E
ac
h
v
a
r
ian
t
is
f
o
c
u
s
ed
o
n
m
ak
in
g
c
h
an
g
e
s
to
th
e
co
d
e
u
s
i
n
g
a
d
if
f
er
e
n
t
p
atter
n
,
a
s
p
r
esen
ted
b
y
B
r
u
s
c
h
i
et
a
l.
[
2
]
.
R
a
m
u
[
3
]
h
av
e
p
r
esen
ted
a
s
u
r
v
e
y
o
n
h
o
w
m
o
b
ile
m
al
w
ar
e
h
a
s
b
ee
n
e
v
o
lv
ed
an
d
h
o
w
t
h
e
m
al
w
ar
e
is
d
e
tecte
d
,
an
d
h
o
w
t
h
e
m
o
b
ile
s
y
s
te
m
is
p
r
o
tecte
d
w
h
en
attac
k
in
g
is
d
o
n
e
u
s
i
n
g
m
al
w
ar
e
.
Ha
m
a
n
d
C
h
o
i
[
4
]
h
a
v
e
p
r
o
p
o
s
ed
a
n
e
w
f
ea
t
u
r
e
s
e
t a
n
d
u
s
ed
th
e
s
a
m
e
to
d
etec
t
m
al
w
ar
e
b
y
i
n
p
u
tti
n
g
th
e
f
ea
tu
r
e
s
et
to
m
ac
h
i
n
e
le
ar
n
in
g
cla
s
s
i
f
ier
s
.
T
h
e
m
al
w
a
r
e
ap
p
licatio
n
also
h
id
es
an
y
ac
k
n
o
w
led
g
m
en
t
s
tr
an
s
m
itted
b
y
t
h
e
telec
o
m
o
p
er
ato
r
.
T
h
u
s
,
t
h
e
m
al
w
ar
e
ap
p
licatio
n
ca
n
ca
u
s
e
a
s
e
r
ies
o
f
m
alicio
u
s
tr
an
s
ac
tio
n
s
a
f
f
ec
t
in
g
t
h
e
u
s
er
s
w
h
o
o
p
er
ate
u
s
in
g
t
h
e
m
e
s
s
ag
es.
Ha
m
an
d
i
et
a
l.
[
5
]
h
av
e
d
em
o
n
s
tr
ated
th
e
w
o
r
k
i
n
g
o
f
s
u
ch
a
n
ap
p
licatio
n
.
Au
n
g
a
n
d
Z
a
w
[
6
]
h
av
e
p
r
o
p
o
s
ed
a
f
r
a
m
e
w
o
r
k
to
d
etec
t
m
al
w
ar
e
w
i
th
i
n
t
h
e
ap
p
s
.
T
h
e
f
r
a
m
e
w
o
r
k
is
b
ased
o
n
m
ac
h
i
n
e
lear
n
i
n
g
-
b
ased
m
a
l
w
ar
e
d
etec
tio
n
.
T
h
e
s
y
s
te
m
i
s
b
u
ilt b
ased
o
n
th
e
ap
p
s
'
p
er
m
is
s
io
n
s
an
d
t
h
e
ev
e
n
ts
g
en
er
ated
b
y
t
h
o
s
e
ap
p
licatio
n
s
.
Qu
an
d
H
u
g
h
e
s
[
7
]
h
av
e
p
r
ese
n
ted
th
at
a
g
g
r
eg
ati
n
g
m
a
n
y
s
i
g
n
at
u
r
es a
n
d
u
s
in
g
t
h
e
s
a
m
e
t
o
d
etec
t th
e
m
al
w
ar
e
w
ill
b
e
q
u
i
te
h
elp
f
u
l,
esp
ec
iall
y
i
n
r
ed
u
ci
n
g
t
h
e
s
i
g
n
atu
r
e
d
atab
ase.
B
lo
k
h
in
et
a
l.
[
8
]
h
av
e
p
r
esen
ted
a
co
d
e
-
s
h
ar
i
n
g
a
n
al
y
s
i
s
m
et
h
o
d
th
at
f
o
cu
s
e
s
o
n
p
ar
titi
o
n
in
g
t
h
e
m
a
l
w
ar
e
ca
ll
lo
g
s
in
to
s
y
s
te
m
ca
ll
s
u
b
s
eq
u
en
ce
b
y
id
e
n
ti
f
y
in
g
t
h
e
lo
g
s
'
lo
ca
tio
n
s
w
h
er
e
t
h
e
s
et
o
f
s
av
ed
in
s
tr
u
c
tio
n
p
o
in
ter
s
o
n
th
e
p
r
o
g
r
a
m
ca
ll
s
tack
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h
an
g
es
s
i
g
n
i
f
ica
n
tl
y
.
Sh
ae
r
p
o
u
r
et
a
l.
[
9
]
h
a
v
e
s
u
r
v
e
y
ed
d
if
f
er
en
t
tech
n
iq
u
es
p
r
o
s
ed
in
th
e
liter
at
u
r
e
f
o
r
d
etec
tin
g
m
al
w
ar
e
.
T
h
e
tech
n
iq
u
es
s
u
r
v
e
y
ed
in
cl
u
d
e
m
al
w
ar
e
d
etec
tio
n
u
s
in
g
h
o
s
t
-
b
ased
f
r
a
m
e
w
o
r
k
s
,
s
tatic
an
al
y
s
is
o
f
ex
ec
u
tab
le,
f
ea
tu
r
e
a
n
al
y
s
is
,
a
n
d
b
eh
av
io
r
al
p
atte
r
n
s
.
P
ar
k
et
a
l.
[
1
0
]
h
av
e
p
r
esen
ted
a
m
et
h
o
d
th
at
f
o
c
u
s
es
o
n
f
i
n
d
in
g
th
e
ap
p
licatio
n
s
'
s
i
m
il
ar
it
y
w
it
h
th
e
e
x
is
tin
g
m
al
w
ar
e
th
at
r
u
n
s
t
h
e
A
n
d
r
o
id
p
latf
o
r
m
.
Yo
o
n
et
a
l.
[
1
1
]
h
av
e
an
al
y
ze
d
f
in
a
n
cial
tr
an
s
ac
tio
n
s
ca
u
s
ed
u
s
i
n
g
SM
S,
an
d
t
h
e
u
s
er
s
s
tar
t a
ttack
i
n
g
u
s
i
n
g
th
e
SMS
d
ata.
Ha
m
a
n
d
i
et
a
l
.
[
1
2
]
h
av
e
p
r
esen
ted
d
if
f
er
en
t
k
i
n
d
s
o
f
attac
k
s
o
n
An
d
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o
id
'
s
m
e
s
s
a
g
i
n
g
f
r
a
m
e
w
o
r
k
.
W
an
g
et
a
l.
[
1
3
]
h
av
e
p
r
o
p
o
s
ed
a
m
et
h
o
d
ca
lled
Dr
o
id
C
h
ain
to
f
i
g
h
t
ag
ai
n
s
t
m
al
w
ar
e
v
ar
ian
ts
an
d
ze
r
o
-
d
a
y
m
al
w
ar
e
.
T
o
co
u
n
ter
t
h
e
s
y
s
te
m
-
ca
l
l
i
n
j
ec
tio
n
m
et
h
o
d
,
Nav
a
l
et
a
l
.
[
1
4
]
h
av
e
p
r
o
p
o
s
ed
a
m
et
h
o
d
th
at
ch
ar
ac
ter
izes p
r
o
g
r
a
m
s
e
m
a
n
tic
s
u
s
in
g
as
y
m
p
t
o
tic
eq
u
ip
ar
titi
o
n
.
Z
h
an
g
an
d
J
in
[
1
5
]
p
r
o
p
o
s
e
d
an
en
h
an
ce
d
m
al
w
ar
e
d
etec
tio
n
m
et
h
o
d
th
at
co
m
b
in
e
s
b
o
th
s
tatic
an
al
y
s
is
a
n
d
en
s
e
m
b
le
tech
n
iq
u
e
s
to
i
m
p
r
o
v
e
m
a
l
w
ar
e
d
etec
tio
n
ac
cu
r
ac
y
.
S
.
C
h
e
n
et
a
l.
[
1
6
]
h
av
e
p
r
o
p
o
s
ed
a
f
r
a
m
e
w
o
r
k
ca
lled
Stro
Dr
o
id
b
u
ilt
w
it
h
s
tr
ea
m
li
n
ed
m
ac
h
i
n
e
lear
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i
n
g
ca
u
s
ed
b
y
e
n
h
a
n
c
ed
f
ea
tu
r
es
o
b
s
er
v
ed
th
r
o
u
g
h
a
lar
g
e
d
ata
s
e
t c
o
llectio
n
.
De
m
o
n
t
is
et
a
l
.
[
1
7
]
p
r
o
p
o
s
ed
“
Dr
eb
in
,
”
a
m
al
w
ar
e
d
etec
to
r
th
at
i
m
p
le
m
en
ts
co
r
r
esp
o
n
d
in
g
ev
a
s
io
n
attac
k
s
.
T
h
e
d
etec
to
r
is
d
ev
el
o
p
ed
u
s
in
g
a
s
i
m
p
le,
s
ca
lab
le
lear
n
i
n
g
p
ar
ad
ig
m
th
at
m
iti
g
ates
t
h
e
i
m
p
ac
t
o
f
ev
asio
n
attac
k
s
.
T
h
e
m
eth
o
d
s
lig
h
tl
y
w
o
r
s
e
n
s
th
e
d
etec
tio
n
r
ate
in
th
e
ab
s
e
n
ce
o
f
t
h
e
attac
k.
C
er
b
o
et
a
l.
[
1
8
]
h
av
e
p
r
ese
n
ted
a
m
et
h
o
d
o
lo
g
y
f
o
r
ca
r
r
y
in
g
f
o
r
en
s
ics
an
al
y
s
i
s
to
d
etec
t
m
a
lici
o
u
s
m
al
w
ar
e
-
b
ased
ap
p
licatio
n
s
.
Gr
is
h
a
m
et
a
l
.
[
1
9
]
h
av
e
u
s
ed
r
ec
u
r
r
en
t n
e
u
r
al
n
et
w
o
r
k
s
to
i
d
en
tify
t
h
e
i
n
f
ec
ted
attac
h
m
e
n
ts
an
d
t
h
e
n
ca
r
r
y
t
h
e
s
o
cial
n
et
w
o
r
k
an
al
y
s
i
s
f
o
r
f
i
n
d
in
g
th
e
k
e
y
h
ac
k
er
s
d
is
s
e
m
in
at
in
g
f
r
o
m
m
o
b
ile
d
ev
ice
s
.
Am
r
o
[
2
0
]
h
av
e
an
al
y
ze
d
d
i
f
f
er
en
t
m
a
l
w
ar
e
d
etec
tio
n
tec
h
n
iq
u
es
th
a
t
s
u
it
m
o
b
ile
o
p
e
r
atin
g
s
y
s
te
m
s
li
k
e
An
d
r
o
id
an
d
iOS.
A
za
r
et
a
l
.
[
2
1
]
h
av
e
p
r
esen
ted
a
m
et
h
o
d
,
"
an
al
y
tic
s
,
"
th
at
f
o
c
u
s
e
s
o
n
ex
tr
ac
ti
n
g
s
ta
tic
f
ea
t
u
r
es
o
f
an
y
b
i
n
ar
y
f
ile
to
d
is
tin
g
u
is
h
m
al
w
ar
e
.
A
r
i
f
et
a
l
.
[
2
2
]
h
av
e
p
r
esen
ted
th
e
w
a
y
m
al
w
ar
e
ca
n
e
n
ter
u
s
i
n
g
au
d
io
ex
p
lo
itatio
n
.
C
las
s
if
ica
tio
n
o
f
a
u
d
io
f
ile
s
w
ill
h
elp
in
d
ev
elo
p
i
n
g
a
d
atab
ase
r
eq
u
ir
ed
to
d
etec
t
m
al
w
ar
e
e
n
ter
in
g
th
r
o
u
g
h
au
d
io
s
.
A
r
i
f
et
a
l.
[
2
2
]
h
av
e
ad
o
p
ted
a
m
e
th
o
d
th
at
h
elp
s
to
an
al
y
z
e
th
e
au
d
io
s
an
d
d
eter
m
i
n
e
th
e
s
tatic
an
d
d
y
n
a
m
ic
ch
ar
ac
ter
is
t
ic
o
f
th
e
au
d
io
s
,
w
h
ich
ar
e
th
en
u
s
ed
to
f
in
d
th
e
s
y
s
te
m
ca
ll
s
an
d
p
er
m
is
s
io
n
s
r
eq
u
ir
ed
f
o
r
au
d
io
ex
p
lo
itat
io
n
a
n
d
th
e
ca
lls
ar
e
ap
p
lied
o
n
to
d
i
f
f
er
en
t
a
u
d
io
s
y
s
te
m
s
to
th
e
ex
te
n
t
th
at
d
a
m
a
g
in
g
ca
n
b
e
ca
r
r
ied
o
n
d
if
f
er
en
t
a
u
d
io
s
.
Utk
u
et
a
l.
[
2
3
]
h
av
e
d
ev
elo
p
ed
a
d
ec
is
io
n
tr
ee
-
b
ased
s
y
s
t
e
m
u
s
i
n
g
C
4
.
5
an
d
Ho
ef
f
d
i
n
g
tr
ee
f
o
r
d
etec
tin
g
th
e
m
a
l
w
ar
e
co
m
in
g
in
to
t
h
e
m
o
b
ile
p
h
o
n
es
th
at
o
p
er
ate
o
n
th
e
A
n
d
r
o
id
o
p
er
atin
g
s
y
s
te
m
.
I
q
b
al
an
d
Z
u
lk
er
n
i
n
e
[
2
4
]
d
e
alt
w
it
h
r
ea
l
-
ti
m
e
m
o
n
ito
r
in
g
o
f
t
h
e
d
ev
ice
s
as
An
d
r
o
id
al
lo
w
s
lo
w
-
lev
el
in
f
o
r
m
a
tio
n
to
an
y
ap
p
s
in
tr
o
d
u
ce
d
b
y
t
h
ir
d
-
p
ar
t
y
s
er
v
ice
p
r
o
v
id
er
s
.
T
h
ey
h
a
v
e
p
r
esen
ted
a
r
ea
l
-
ti
m
e
m
o
n
ito
r
i
n
g
an
d
d
etec
tio
n
tech
n
iq
u
e
ca
l
led
Sp
y
Dr
o
id
,
w
h
ich
e
m
p
lo
y
s
m
u
l
tip
le
d
etec
to
r
s
d
ev
elo
p
ed
b
y
th
ir
d
p
ar
ties
to
d
etec
t
th
e
m
a
l
w
ar
e
an
d
allo
w
s
f
o
r
co
n
tin
u
o
u
s
m
o
n
ito
r
in
g
o
f
t
h
e
d
ev
ices
i
n
r
ea
l
-
ti
m
e.
A
n
u
m
b
er
o
f
co
n
tr
ib
u
tio
n
s
h
a
v
e
b
ee
n
m
ad
e
to
s
ec
u
r
e
d
ata
w
h
i
le
in
a
clo
u
d
an
d
o
u
t
o
f
clo
u
d
w
h
ic
h
is
n
o
t
co
u
p
led
w
it
h
s
p
r
a
w
li
n
g
m
al
w
ar
e
[2
5
]
-
[
3
2
].
P
an
d
a
an
d
T
r
ip
ath
y
[
33
]
h
av
e
p
r
esen
ted
a
m
o
r
p
h
o
lo
g
ica
l
m
al
w
ar
e
d
etec
tio
n
m
et
h
o
d
w
h
er
e
m
al
w
ar
e
s
i
g
n
at
u
r
es
k
ee
p
ch
a
n
g
i
n
g
f
r
o
m
ti
m
e
to
ti
m
e.
A
n
eu
r
al
n
et
w
o
r
k
-
b
as
ed
lear
n
in
g
m
eth
o
d
h
as b
ee
n
p
r
ese
n
ted
,
w
h
ic
h
ar
e
co
n
n
ec
ted
w
it
h
m
a
l
w
ar
e
d
etec
tio
n
an
d
p
r
ev
en
tio
n
[
34
]
-
[
38
].
Ma
n
y
m
et
h
o
d
s
ar
e
u
s
ed
f
o
r
d
etec
tin
g
th
e
m
al
w
ar
e.
T
h
e
m
e
th
o
d
s
u
s
ed
ar
e
in
cr
ea
s
i
n
g
d
a
y
af
ter
d
ay
.
No
s
cien
ti
f
ic
m
ec
h
an
i
s
m
e
x
is
ts
t
h
at
ca
n
b
e
u
s
ed
to
class
if
y
t
h
e
class
to
w
h
ic
h
th
e
SM
S
m
ess
a
g
e
b
elo
n
g
s
w
h
ic
h
is
t
h
e
m
o
s
t
i
m
p
o
r
tan
t
co
n
s
id
er
atio
n
t
h
at
m
u
s
t
b
e
af
f
ec
ted
b
ef
o
r
e
ev
en
lear
n
i
n
g
t
h
e
m
ac
h
i
n
e
lear
n
in
g
m
et
h
o
d
th
at
s
h
o
u
ld
b
e
u
s
ed
to
d
etec
t th
e
m
al
w
ar
e
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4752
P
r
o
tectin
g
A
n
d
r
o
id
b
a
s
ed
a
p
p
lica
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s
fr
o
m
ma
lw
a
r
e
a
ffecte
d
th
r
o
u
g
h
S
MS
mess
a
g
es
(
J.
S
a
s
i B
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a
n
u
)
1583
3.
F
UNCTI
O
N
AL
RE
Q
U
I
R
E
M
E
NT
S
O
F
A
M
AL
WAR
E
D
E
T
E
C
T
I
O
N,
P
R
E
V
E
N
T
I
O
N
A
ND
M
I
T
I
G
A
T
I
O
N
S
YST
E
M
A
co
m
p
r
e
h
e
n
s
i
v
e
ap
p
r
o
ac
h
to
h
an
d
le
m
al
w
ar
e
is
to
r
ec
o
g
n
i
ze
all
asp
ec
ts
i
n
to
tal
a
n
d
co
m
e
o
u
t
w
it
h
a
r
eq
u
ir
e
m
e
n
t
li
s
t
w
i
th
d
etai
le
d
s
p
ec
if
icatio
n
s
o
t
h
at
s
a
m
e
c
an
b
e
co
n
s
id
er
ed
to
b
u
ild
in
to
an
ar
ch
i
tectu
r
e
t
h
at
th
at
i
n
cl
u
d
e
all
th
e
co
m
p
o
n
en
t
s
,
th
e
i
n
ter
ac
tio
n
b
et
w
ee
n
t
h
e
co
m
p
o
n
e
n
t
s
,
th
e
i
m
p
le
m
e
n
tati
o
n
o
f
w
h
ich
ca
n
b
e
d
o
n
e
an
y
p
latf
o
r
m
.
T
h
e
f
o
ll
o
w
i
n
g
r
eq
u
ir
e
m
e
n
t
s
h
av
e
b
e
en
id
en
tifie
d
th
r
o
u
g
h
a
d
eta
iled
r
ev
ie
w
o
f
t
h
e
liter
atu
r
e
an
d
d
is
c
u
s
s
io
n
s
w
i
th
p
o
licem
e
n
w
h
o
w
o
r
k
i
n
cr
i
m
e
id
en
tific
atio
n
a
n
d
er
ad
icatio
n
.
3
.
1
.
Require
m
ent
-
1
Ma
n
y
m
al
w
ar
e
d
etec
tio
n
m
e
th
o
d
s
f
o
cu
s
o
n
ch
ec
k
i
n
g
t
h
e
co
d
e
an
d
th
e
f
ile
s
tr
u
ct
u
r
e
u
s
ed
to
s
to
r
e
th
e
b
in
ar
y
i
n
th
e
f
ile.
So
m
e
m
al
w
ar
e
d
etec
tio
n
tec
h
n
iq
u
e
f
o
c
u
s
e
s
o
n
l
ea
r
n
i
n
g
t
h
e
in
co
m
i
n
g
m
e
s
s
a
g
es
th
r
o
u
g
h
d
if
f
er
e
n
t
m
ac
h
i
n
e
lear
n
in
g
te
ch
n
iq
u
es
s
u
c
h
as
d
ec
i
s
io
n
tr
e
e
an
d
n
e
u
r
al
n
et
w
o
r
k
s
.
So
m
e
m
et
h
o
d
s
f
o
cu
s
o
n
f
ea
t
u
r
e
ex
tr
ac
tio
n
a
n
d
s
i
m
ilar
i
t
y
ch
ec
k
i
n
g
.
T
h
ese
m
et
h
o
d
s
w
o
r
k
p
er
f
ec
t
l
y
i
n
s
o
m
e
co
n
te
x
ts
.
As
th
e
co
n
tex
t
s
ch
an
g
e,
t
h
e
m
et
h
o
d
s
b
ec
o
m
e
ef
f
ec
ti
v
e.
A
f
r
a
m
e
w
o
r
k
t
h
at
ca
ter
s
to
p
o
s
s
ib
le
m
et
h
o
d
s
t
h
at
ca
n
b
e
u
s
ed
f
o
r
d
etec
tin
g
m
al
w
ar
e
i
s
r
eq
u
ir
ed
.
3
.
2
.
Require
m
ent
-
2
T
h
u
s
,
th
er
e
s
h
o
u
ld
b
e
a
co
n
ti
n
u
o
u
s
m
o
n
i
to
r
in
g
s
y
s
te
m
t
h
at
d
etec
ts
th
e
e
x
is
tin
g
m
al
w
ar
e
an
d
th
e
n
q
u
ar
an
ti
n
es
th
e
ap
p
s
f
o
u
n
d
to
b
e
m
al
w
ar
e
w
h
ile
k
ee
p
in
g
ch
ec
k
i
n
g
in
s
tr
ea
m
m
ec
h
a
n
is
m
s
t
h
at
ca
n
p
r
o
d
u
ce
m
al
w
ar
e
th
r
o
u
g
h
SMS
m
es
s
a
g
es
an
d
o
th
er
m
ea
n
s
.
T
h
u
s
,
a
m
ec
h
a
n
i
s
m
i
s
r
eq
u
ir
ed
th
at
k
e
ep
s
m
o
n
ito
r
in
g
t
h
e
m
al
w
ar
e
'
s
ex
i
s
te
n
ce
co
n
t
in
u
o
u
s
l
y
.
T
h
er
e
s
h
o
u
ld
b
e
a
m
et
h
o
d
th
at
k
ee
p
s
d
etec
ti
n
g
th
e
in
co
m
in
g
m
es
s
a
g
es
to
f
i
n
d
an
y
m
al
w
ar
e
i
n
t
h
e
m
.
P
r
o
b
ab
ilit
y
-
b
ased
m
o
d
els
ar
e
m
o
r
e
r
ea
lis
tic
w
h
e
n
i
t
co
m
es
to
co
n
ti
n
u
o
u
s
in
f
o
r
m
atio
n
co
m
i
n
g
t
h
r
o
u
g
h
S
MS
m
e
s
s
a
g
es.
3
.
3
.
Require
m
ent
-
3
I
n
m
o
b
ile
co
m
p
u
ti
n
g
,
th
e
f
iel
d
'
s
ab
ilit
y
to
an
al
y
ze
m
al
w
ar
e
w
it
h
g
o
o
d
p
r
ec
ess
io
n
an
d
r
ec
o
g
n
itio
n
is
n
ec
es
s
ar
y
.
T
h
er
e
is
a
n
ee
d
to
g
en
er
alize
m
al
w
ar
e
w
it
h
in
a
s
p
ec
i
f
ic
m
al
w
ar
e
f
a
m
il
y
,
s
u
c
h
as
t
h
e
ze
r
o
-
d
ay
-
at
tack
f
a
m
il
y
.
I
t
m
u
s
t
b
e
en
s
u
r
ed
th
at
t
h
e
m
al
w
ar
e
d
etec
tio
n
s
y
s
te
m
,
w
h
e
n
p
lace
d
w
it
h
in
m
o
b
ile
-
b
ased
s
y
s
te
m
s
,
s
h
o
u
ld
n
o
t c
o
n
s
u
m
e
to
o
m
an
y
co
m
p
u
tin
g
r
eso
u
r
ce
s
.
3
.
4
.
Require
m
ent
-
4
T
h
er
e
is
a
n
ee
d
to
c
o
n
s
id
er
all
p
o
s
s
ib
le
attac
k
s
a
n
d
d
eter
m
in
e
th
eir
co
u
n
ter
-
attac
k
in
g
s
y
s
te
m
.
T
h
e
attac
k
s
t
h
r
o
u
g
h
SM
S
m
e
s
s
a
g
es
ca
n
b
e
class
if
ied
b
ased
o
n
th
e
ca
u
s
e
o
f
f
ail
u
r
e,
p
o
w
er
co
n
s
u
m
p
tio
n
,
in
f
o
r
m
atio
n
lea
k
a
g
e,
an
d
f
in
a
n
cial
ch
ar
g
in
g
.
T
h
e
attac
k
in
g
w
h
e
n
it
co
m
e
s
to
f
i
n
an
cial
c
h
ar
g
e
is
d
o
n
e
th
r
o
u
g
h
Vu
l
n
er
ab
ilit
y
attac
k
w
h
en
m
o
b
ile
-
b
ased
Mic
r
o
p
a
y
m
en
t
s
ar
e
u
n
d
er
tak
en
,
p
a
y
m
en
t
r
ate
s
er
v
ice
attac
k
ca
u
s
ed
b
y
th
e
t
r
an
s
m
is
s
i
o
n
o
f
m
e
s
s
a
g
es
f
r
o
m
b
eh
in
d
w
i
th
o
u
t
th
e
u
s
e
r
'
s
n
o
ti
c
e
,
th
e
t
r
an
s
m
is
s
i
o
n
o
f
l
a
r
g
e
SM
S
m
es
s
ag
es
,
a
n
d
t
h
r
o
u
g
h
d
is
t
r
i
b
u
te
d
d
en
i
al
-
of
-
s
e
r
v
ic
e
(
D
d
oS
)
at
t
a
ck
.
T
h
e
a
t
ta
ck
s
o
n
m
o
b
i
l
e
p
h
o
n
es
ca
n
b
e
c
la
s
s
if
i
e
d
as
h
a
r
d
w
a
r
e
-
b
as
e
d
,
v
u
ln
e
r
a
b
i
li
t
ie
s
ex
p
o
s
e
d
b
y
c
o
m
m
u
n
i
c
a
tio
n
p
r
o
t
o
c
o
l
s
,
s
o
f
tw
a
r
e
-
c
en
t
r
ic
,
w
h
i
ch
in
c
lu
d
es
c
o
m
m
u
n
i
c
at
i
o
n
c
h
a
n
n
el
s
(
s
h
o
r
t
m
ess
ag
e
s
e
r
v
ic
e
(
S
MS
)
an
d
m
u
l
tim
e
d
i
a
m
es
s
a
g
in
g
s
e
r
v
i
c
e
(
MMS
)
)
,
b
r
o
w
s
e
r
s
,
a
n
d
th
e
o
th
e
r
ca
t
eg
o
r
y
a
r
e
th
e
at
t
a
ck
s
th
a
t
ex
p
l
o
it
th
r
o
u
g
h
th
e
u
s
e
r
l
ay
e
r
th
at
in
c
lu
d
e
s
o
c
i
a
l
en
g
in
e
e
r
in
g
.
3
.
5
.
Require
m
ent
-
5
Ma
n
y
m
al
w
ar
e
d
etec
ti
n
g
s
y
s
t
e
m
s
ar
e
i
n
u
s
e
w
h
ich
m
u
s
t
b
e
co
n
s
id
er
ed
to
en
f
o
r
ce
th
e
s
a
m
e
i
n
th
e
s
itu
a
tio
n
s
t
h
at
n
ee
d
a
s
p
ec
i
f
ic
d
etec
tio
n
m
et
h
o
d
.
Ma
n
y
tech
n
iq
u
e
s
ar
e
i
n
u
s
e
f
o
r
d
etec
tin
g
.
T
h
e
au
t
h
o
r
s
h
av
e
p
r
esen
ted
tech
n
iq
u
es
to
d
etec
t
m
a
l
w
ar
e
th
r
o
u
g
h
s
tat
ic
f
u
n
c
tio
n
ca
ll
an
al
y
s
is
,
d
etec
tio
n
s
th
r
o
u
g
h
s
i
g
n
atu
r
e,
s
o
f
t
w
ar
e
-
b
ased
attestatio
n
,
an
d
an
o
m
al
y
d
etec
tio
n
.
T
h
ey
h
a
v
e
also
ex
p
lain
ed
h
o
w
m
o
b
ile
o
p
er
atin
g
s
y
s
te
m
s
'
p
r
o
tectio
n
co
u
ld
b
e
ac
h
iev
e
d
th
r
o
u
g
h
is
o
latio
n
,
h
ar
d
en
e
d
k
er
n
els,
s
ec
u
r
e
d
ef
a
u
lt
s
et
tin
g
s
,
a
n
d
s
o
f
t
w
ar
e
attestatio
n
f
o
r
3
r
d
p
ar
ty
ap
p
s
.
3
.
6
.
Require
m
ent
-
6
T
h
er
e
is
a
n
ee
d
to
co
n
s
id
er
th
e
r
elatio
n
s
h
ip
b
et
w
ee
n
th
e
ar
tif
ac
ts
o
f
m
al
w
ar
e
an
d
n
o
n
-
m
al
w
ar
e
p
r
o
g
r
am
s
.
Ma
n
y
a
u
t
h
o
r
s
h
av
e
p
r
o
p
o
s
ed
s
ev
er
al
ap
p
r
o
ac
h
es
th
at
f
o
c
u
s
o
n
f
i
n
d
i
n
g
t
h
e
r
elatio
n
s
h
ip
b
et
w
ee
n
m
al
w
ar
e
p
r
o
g
r
a
m
s
r
elate
d
to
ar
tif
ac
ts
a
n
d
n
o
n
-
m
al
w
ar
e
p
r
o
g
r
a
m
-
r
elate
d
ar
tif
ac
t
s
an
d
t
h
en
estab
li
s
h
i
n
g
t
h
e
r
elatio
n
s
h
ip
b
et
w
ee
n
th
e
p
r
o
g
r
a
m
s
.
U
s
in
g
t
h
e
r
elatio
n
s
h
ip
s
,
th
e
p
r
o
g
r
a
m
s
t
h
at
ar
e
a
f
f
ec
te
d
d
u
e
to
m
al
w
ar
e
ca
n
b
e
r
ev
er
s
e
-
e
n
g
in
ee
r
ed
,
an
d
th
e
m
al
w
ar
e
r
e
m
o
v
ed
in
s
tea
d
o
f
q
u
ar
an
tin
in
g
t
h
e
af
f
ec
ted
p
r
o
g
r
am
3
.
7
.
Require
m
ent
-
7
T
h
e
d
y
n
a
m
ic
b
eh
av
io
r
o
f
o
p
er
atin
g
s
y
s
te
m
s
,
esp
ec
ial
l
y
t
h
e
An
d
r
o
id
o
p
er
atin
g
s
y
s
te
m
,
n
ee
d
s
to
b
e
co
n
s
id
er
ed
.
Ma
n
y
au
t
h
o
r
s
ar
e
ca
u
tio
u
s
l
y
w
o
r
k
i
n
g
to
d
etec
tin
g
t
h
e
e
x
is
te
n
ce
o
f
th
e
m
a
l
w
ar
e
w
h
ile
at
t
h
e
s
a
m
e,
th
e
attac
k
er
s
ar
e
in
v
en
tin
g
to
f
i
n
d
th
e
an
ti
-
d
etec
tio
n
f
ea
tu
r
e
s
m
ak
in
g
it
co
m
p
licated
to
f
in
d
th
e
ex
i
s
ten
ce
o
f
th
e
m
a
l
w
ar
e
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
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n
d
o
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esia
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J
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lec
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&
C
o
m
p
Sci,
Vo
l.
22
,
No
.
3
,
J
u
n
e
2
0
2
1
:
1
5
8
0
-
1
5
8
9
1584
3
.
8
.
Require
m
en
t
-
8
T
h
er
e
is
a
n
ee
d
to
co
llect
in
f
o
r
m
at
io
n
r
elate
d
to
d
if
f
er
en
t
m
al
w
ar
e
i
n
ter
m
s
o
f
its
c
h
ar
ac
ter
is
tics
,
f
ea
t
u
r
es,
an
d
th
e
p
atter
n
o
f
o
c
cu
r
r
en
ce
,
an
d
s
to
r
e
th
e
s
a
m
e
in
a
d
atab
ase.
Hac
k
er
f
o
r
u
m
s
w
il
l
h
elp
g
r
ea
tl
y
i
n
th
is
r
e
g
ar
d
to
m
a
k
e
av
ailab
le
d
ata/in
f
o
r
m
atio
n
ab
o
u
t
d
i
f
f
er
e
n
t
m
al
w
ar
e
.
T
h
is
d
atab
ase
m
u
s
t
b
e
lar
g
e
en
o
u
g
h
th
at
t
h
e
e
x
a
m
p
le
s
et
w
il
l
b
e
lar
g
e
en
o
u
g
h
to
p
r
o
p
er
ly
p
r
ed
ict
a
m
e
s
s
a
g
e
to
b
e
m
al
w
ar
e
i
f
i
t
is
f
itti
n
g
in
to
o
n
e
o
f
th
e
f
o
r
m
ats
o
r
p
atter
n
s
o
f
th
e
m
e
s
s
a
g
es
s
to
r
ed
in
th
e
d
atab
ase.
I
t
w
ill
b
e
m
o
r
e
ad
v
an
tag
eo
u
s
to
li
n
k
a
m
es
s
ag
e
s
to
r
ed
in
th
e
d
atab
ase
lin
k
ed
w
it
h
t
h
e
m
o
d
el
u
s
ed
to
class
i
f
y
t
h
e
m
es
s
ag
e.
3
.
9
.
Require
m
ent
-
9
Ma
ch
i
n
e
lear
n
i
n
g
(
M
L
)
tech
n
iq
u
e
s
ar
e
b
ein
g
e
m
p
lo
y
ed
to
u
n
d
er
s
tan
d
t
h
e
attac
k
i
n
g
ap
p
r
o
ac
h
es
e
m
p
lo
y
ed
th
r
o
u
g
h
m
al
w
ar
e
.
T
h
e
ML
tech
n
iq
u
e
s
ar
e
b
ein
g
p
r
o
v
ed
to
b
e
s
tatis
ticall
y
s
o
u
n
d
f
o
r
m
a
l
w
ar
e
d
etec
tio
n
.
Ov
er
ti
m
e,
th
e
m
a
ch
in
e
lear
n
in
g
alg
o
r
it
h
m
s
'
ab
ilit
y
to
ac
cu
r
atel
y
d
etec
t
m
al
w
ar
e
'
s
e
x
is
te
n
ce
h
a
s
b
ee
n
q
u
est
io
n
ed
d
u
e
to
th
e
ex
is
te
n
ce
o
f
to
o
m
u
c
h
v
u
ln
e
r
ab
ilit
y
w
it
h
i
n
t
h
e
lear
n
i
n
g
m
o
d
el
s
t
h
at
ca
n
b
e
ex
p
lo
ited
b
y
m
al
w
ar
e
s
o
t
h
at
d
etec
tio
n
o
f
th
e
s
a
m
e
i
s
av
o
id
ed
.
3
.
1
0
.
Require
m
ent
-
10
T
o
tak
e
in
to
ac
co
u
n
t
th
e
tech
n
iq
u
e
s
th
at
ca
u
s
e
co
d
e
o
b
f
u
s
ca
tio
n
.
An
ti
-
v
ir
u
s
s
o
f
t
w
ar
e
is
d
ev
elo
p
ed
u
s
i
n
g
s
i
g
n
at
u
r
e
d
etec
tio
n
tec
h
n
iq
u
e
s
an
d
is
h
ig
h
l
y
ef
f
icie
n
t
w
h
e
n
th
e
m
al
w
ar
e
an
d
th
e
s
ig
n
atu
r
e
t
h
at
it
cr
ea
tes
ar
e
k
n
o
w
n
q
u
ite
a
h
ea
d
.
T
h
e
An
ti
v
ir
u
s
s
o
f
t
w
ar
e
is
n
o
t
q
u
i
te
u
s
ef
u
l
w
h
e
n
t
h
e
v
ir
u
s
i
s
n
o
t
k
n
o
w
n
q
u
ite
a
h
ea
d
o
f
its
o
cc
u
r
r
en
ce
.
An
y
n
e
w
m
al
w
ar
e
m
ai
n
l
y
f
o
c
u
s
es
o
n
c
h
an
g
es
,
th
e
s
eq
u
e
n
ce
o
f
e
x
ec
u
tio
n
o
f
th
e
co
d
e,
r
eg
i
s
tr
y
r
en
a
m
i
n
g
,
r
ep
lacin
g
t
h
e
i
n
s
tr
u
ctio
n
s
w
it
h
eq
u
i
v
ale
n
t
in
s
tr
u
ctio
n
s
,
r
eo
r
d
er
in
g
th
e
i
n
s
tr
u
ct
io
n
s
,
an
d
i
n
s
er
ti
n
g
co
d
e
th
at
co
llects th
e
g
ar
b
ag
e
co
llectio
n
.
T
h
e
tech
n
iq
u
e
s
u
s
ed
to
m
ak
e
th
is
k
in
d
o
f
ch
a
n
g
e
ar
e
ca
lled
co
d
e
o
b
f
u
s
ca
tio
n
.
T
h
e
k
in
d
o
f
ch
a
n
g
e
s
co
n
s
id
er
ed
b
y
ea
ch
o
f
th
e
m
al
w
ar
e
d
if
f
er
s
a
lo
t
an
d
th
er
ef
o
r
e
is
q
u
ite
co
m
p
licated
to
f
in
d
th
e
s
a
m
e.
T
h
is
k
in
d
o
f
m
al
w
ar
e
i
s
ca
lled
m
eta
m
o
r
p
h
ic
m
al
w
ar
e
,
w
h
ich
f
o
cu
s
es
o
n
m
a
k
in
g
c
h
an
g
es
to
t
h
e
co
d
e,
th
u
s
m
a
k
i
n
g
t
h
e
s
y
s
te
m
w
o
r
k
in
u
n
e
x
p
ec
ted
ter
m
s
.
3
.
1
1
.
Require
m
ent
-
11
T
o
ex
p
lo
it
th
e
co
m
m
u
n
ica
tio
n
f
ea
tu
r
es
s
u
p
p
o
r
ted
b
y
th
e
A
n
d
r
o
id
o
p
er
atin
g
s
y
s
te
m
s
o
th
a
t
h
an
d
le
o
n
th
e
i
n
co
m
i
n
g
m
e
s
s
a
g
es
ca
n
b
e
g
ain
ed
b
e
f
o
r
e
th
e
m
ess
a
g
e
s
ar
e
tr
an
s
m
itted
to
th
e
r
esp
ec
t
iv
e
ap
p
licatio
n
s
.
A
b
r
o
ad
ca
s
t
r
ec
eiv
er
b
u
ilt
in
to
th
e
o
p
er
atin
g
s
y
s
te
m
i
s
a
p
r
o
ce
s
s
th
at
r
ec
eiv
es
th
e
m
e
s
s
a
g
es
a
n
d
m
a
k
es
a
v
ailab
le
th
e
m
es
s
ag
e
s
to
th
e
ap
p
licatio
n
s
.
A
p
p
licatio
n
s
d
ec
lar
e
s
tat
icall
y
o
r
d
y
n
a
m
icall
y
th
eir
in
t
er
est
in
r
ec
eiv
in
g
a
ce
r
tain
t
y
p
e
o
f
i
n
f
o
r
m
atio
n
,
a
n
d
ac
co
r
d
in
g
l
y
,
t
h
e
o
p
er
atin
g
s
y
s
te
m
(
OS
)
w
ill
tr
y
to
d
e
li
v
e
r
th
e
r
eq
u
ested
d
ata
w
h
e
n
av
ailab
le.
3
.
1
2
.
Require
m
ent
-
12
T
o
ex
p
lo
it
th
e
b
u
f
f
er
s
a
n
d
lo
g
s
m
ai
n
tai
n
ed
b
y
th
e
OS
.
An
d
r
o
id
h
as
a
s
p
ec
ial
lo
g
g
in
g
s
y
s
te
m
t
h
r
o
u
g
h
w
h
ic
h
t
h
e
OS
s
to
r
es
t
h
e
lo
g
s
i
n
s
e
v
er
al
cir
c
u
lar
b
u
f
f
er
s
(
f
o
r
r
ad
io
,
ev
en
ts
,
a
n
d
m
a
in
)
.
De
v
e
lo
p
er
s
ca
n
b
en
e
f
it
f
r
o
m
t
h
ese
b
u
f
f
er
s
to
g
et
in
f
o
r
m
at
io
n
f
r
o
m
th
e
s
y
s
te
m
an
d
d
eb
u
g
th
eir
ap
p
s
.
Fo
r
th
at
p
u
r
p
o
s
e,
a
s
p
ec
ial
co
m
m
a
n
d
ca
n
b
e
u
s
ed
in
t
h
e
A
DB
to
o
l to
ex
tr
ac
t d
ata
f
r
o
m
th
e
tar
g
eted
b
u
f
f
er
3
.
1
3
.
Require
m
ent
-
13
To
s
tu
d
y
th
e
b
eh
av
io
r
o
f
ex
i
s
t
i
n
g
m
a
lw
a
r
e
s
y
s
t
em
s
.
Th
e
m
a
lw
a
r
e
ap
p
l
i
c
a
t
i
o
n
i
s
d
e
s
i
g
n
ed
to
o
p
er
a
t
e
/
b
eh
av
e
l
ik
e
a
r
eg
u
l
ar
ap
p
l
i
c
a
t
i
o
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etec
tio
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r
t
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er
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al
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i
n
d
th
e
M
L
m
eth
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d
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h
at
w
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ld
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e
m
o
r
e
s
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i
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le
f
o
r
d
etec
tin
g
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e
m
al
w
ar
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o
cc
u
r
r
en
ce
.
T
h
e
m
o
d
el
s
ar
e
lear
n
ed
b
ased
o
n
ex
a
m
p
le
s
et
s
t
h
at
ar
e
eith
er
u
n
i
v
er
s
al
l
y
o
r
cr
ea
ti
n
g
s
o
m
e
e
x
a
m
p
le
s
b
ased
o
n
t
h
e
e
x
p
er
ts
'
ex
p
er
ie
n
ce
.
T
h
e
m
o
d
els
m
u
s
t
b
e
lear
n
ed
f
i
r
s
t
b
ef
o
r
e
th
e
s
a
m
e
i
s
u
s
ed
to
d
etec
t
SMS
m
es
s
a
g
es
'
e
x
is
ten
ce
.
Fig
u
r
e
2
s
h
o
ws
th
e
co
m
p
o
n
e
n
t
s
th
at
ac
t
in
t
h
e
s
ec
o
n
d
la
y
er
o
f
t
h
e
co
m
p
r
e
h
e
n
s
i
v
e
ar
ch
i
tectu
r
e.
Fro
m
Fi
g
u
r
e
2
,
it
ca
n
b
e
s
ee
n
th
at
SMS
d
is
s
ec
to
r
s
a
r
e
r
eq
u
ir
ed
th
at
class
i
f
y
th
e
SM
S
m
e
s
s
ag
es
i
n
to
class
e
s
s
u
c
h
as
p
atte
r
n
-
b
ased
d
etec
tio
n
,
ML
b
ased
d
etec
tio
n
an
d
s
ig
n
atu
r
e
-
b
ased
d
etec
tio
n
.
T
h
e
SMS
m
es
s
ag
e
af
ter
h
av
i
n
g
ca
ls
s
i
f
ed
in
to
a
g
r
o
u
p
,
th
en
w
ill
b
e
a
n
al
y
s
ed
to
f
i
n
d
a
s
u
itab
le
m
ac
h
in
e
lear
n
n
g
m
et
h
o
d
th
at
i
s
q
u
ite
s
u
itab
l
e
f
o
r
d
etec
tin
g
t
h
e
m
al
w
ar
e
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4752
I
n
d
o
n
esia
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J
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lec
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n
g
&
C
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m
p
Sci,
Vo
l.
22
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No
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3
,
J
u
n
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2
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2
1
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5
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1586
S
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itect
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itectu
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p
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s
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Fig
u
r
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3
.
Ov
er
all
co
m
p
r
eh
e
n
s
i
v
e
ar
ch
itect
u
r
es
f
o
r
m
iti
g
ati
n
g
SMS b
ased
m
al
w
ar
e
On
ce
th
e
m
o
d
els
ar
e
lear
n
ed
,
th
e
in
co
m
i
n
g
SMS
m
es
s
ag
e
s
ar
e
p
ar
s
ed
an
d
an
al
y
ze
d
to
f
in
d
th
e
k
i
n
d
o
f
lear
n
in
g
m
o
d
el
th
at
is
m
o
r
e
s
u
itab
le
f
o
r
d
etec
tin
g
m
al
w
ar
e.
T
h
e
s
elec
ted
ML
m
o
d
el
th
en
r
elea
s
es
a
n
o
tific
atio
n
i
n
d
icti
n
g
th
e
m
al
w
ar
e
'
s
e
x
i
s
ten
ce
.
O
th
er
w
i
s
e,
t
h
e
SMS
d
ec
i
s
io
n
m
o
d
u
le
o
f
t
h
e
ar
ch
itect
u
r
e
ad
d
s
th
e
m
e
s
s
a
g
e
to
th
e
ex
a
m
p
le
s
et
if
th
er
e
is
m
al
w
ar
e
an
d
s
en
d
s
o
u
t
a
n
o
tif
ica
tio
n
to
th
e
u
s
er
th
at
th
er
e
is
m
al
w
ar
e
i
n
th
e
m
e
s
s
a
g
e
r
ec
ei
v
ed
.
T
h
e
d
ec
is
io
n
m
o
d
u
le
w
il
l
b
r
o
ad
ca
s
t
th
e
m
es
s
a
g
e
if
th
e
r
e
is
n
o
m
a
l
w
ar
e
in
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4752
P
r
o
tectin
g
A
n
d
r
o
id
b
a
s
ed
a
p
p
lica
tio
n
s
fr
o
m
ma
lw
a
r
e
a
ffecte
d
th
r
o
u
g
h
S
MS
mess
a
g
es
(
J.
S
a
s
i B
h
a
n
u
)
1587
th
e
SM
S
m
es
s
ag
e.
T
h
e
An
d
r
o
id
o
p
er
atin
g
s
y
s
te
m
s
w
ill
th
e
n
h
an
d
o
v
er
t
h
e
m
es
s
ag
e
s
to
t
h
e
n
ex
t
a
p
p
w
ai
tin
g
i
n
th
e
q
u
e
u
e
as p
er
th
e
p
r
io
r
ities
.
T
h
e
th
ir
d
s
eg
m
e
n
t
o
f
th
e
ar
ch
i
tectu
r
e
is
d
etec
tin
g
th
e
m
a
l
w
a
r
e
w
h
ile
t
h
e
A
p
p
is
in
s
talled
.
T
h
e
I
n
s
tall
ch
ec
k
er
w
ill
v
er
i
f
y
th
e
ap
p
b
ef
o
r
e
in
s
talli
n
g
th
e
s
a
m
e;
t
h
e
d
ec
is
io
n
-
m
ak
er
co
m
p
o
n
e
n
t
d
elete
d
th
e
ap
p
if
n
o
tifie
d
b
y
t
h
e
in
s
tall
c
h
ec
k
er
o
f
th
e
m
al
w
ar
e
'
s
e
x
is
te
n
ce
in
t
h
e
ap
p
.
Dif
f
er
e
n
t
m
et
h
o
d
s
th
a
t
ch
ec
k
t
h
e
co
d
e
is
d
ep
lo
y
ed
to
f
i
n
d
t
h
e
ex
is
te
n
ce
o
f
th
e
m
al
w
ar
e.
So
m
e
o
f
t
h
es
e
m
et
h
o
d
s
lo
o
k
at
t
h
e
h
ea
d
er
s
in
t
h
e
f
ile
s
tr
u
ct
u
r
e
o
f
th
e
b
in
ar
y
p
r
o
g
r
a
m
s
.
5.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
Sev
er
al
SMS
m
al
w
ar
es
ex
a
m
p
les
h
av
e
b
ee
n
d
o
w
n
lo
ad
ed
a
n
d
d
atab
ase
is
cr
ea
ted
w
h
ich
ar
e
clea
r
l
y
m
ap
p
ed
w
ith
t
h
e
class
to
w
h
i
ch
th
e
SMS
m
e
s
s
a
g
e
b
elo
n
g
s
,
an
d
th
e
m
et
h
o
d
u
s
ed
f
o
r
d
etec
tin
g
th
e
m
al
w
ar
e
.
So
m
e
o
f
t
h
e
ex
a
m
p
les
u
s
ed
a
r
e
s
h
o
w
n
i
n
t
h
e
T
ab
le
1
.
So
m
e
test
e
x
a
m
p
les
ar
e
tak
e
n
a
n
d
d
s
ee
ctio
n
o
f
t
h
e
s
a
m
e
is
d
o
n
e
to
r
ec
o
g
n
ize
th
e
class
o
f
t
h
e
SM
S
m
es
s
ag
e
an
d
th
e
m
e
th
o
d
t
h
at
s
h
o
u
ld
b
e
u
s
ed
to
d
etec
t
t
h
e
m
al
w
ar
e
as
a
g
ai
n
s
t
t
h
e
ac
t
u
al
m
et
h
o
d
u
s
ed
f
o
r
d
etec
tin
g
th
e
m
al
w
ar
e.
A
b
o
u
t
9
9
%
ac
cu
r
ac
y
h
as
b
ee
n
ac
h
iev
ed
.
T
h
e
T
est ex
a
m
p
les t
h
at
h
a
v
e
b
ee
n
te
s
ted
ar
e
s
h
o
wn
in
T
ab
le
2.
T
ab
le
1
.
Ma
lw
ar
e
i
n
cl
u
d
ed
SMS
m
e
s
s
a
g
es
–
ex
a
m
p
le
s
et
S
e
r
i
a
l
N
u
mb
e
r
S
M
S
M
e
ssag
g
e
C
l
a
ss
M
e
t
h
o
d
i
s
u
se
d
1
H
e
l
l
o
t
h
i
s
i
s my
B
a
n
k
A
c
c
o
u
n
t
n
u
mb
e
r
a
n
d
t
h
e
A
u
d
h
a
r
C
a
r
d
N
u
mb
e
r
M
L
B
a
se
d
D
e
t
e
c
t
i
o
n
B
a
y
e
r
s
L
e
r
a
n
i
n
g
C
l
a
ssi
f
i
e
r
s
2
P
l
e
a
se
c
l
i
c
k
i
n
t
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e
U
R
L
t
o
k
n
o
w
l
a
t
t
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n
f
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L
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a
se
d
D
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t
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c
t
i
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D
e
c
i
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o
n
T
r
e
e
M
o
d
e
l
3
D
o
w
n
L
a
o
d
t
h
e
A
P
P
u
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n
g
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e
l
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M
o
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4
P
l
e
a
se
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w
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CO
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ch
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p
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s
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M
.
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lao
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S
a
lah
,
“
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D.
Bru
sc
h
i,
L.
M
a
rti
g
n
o
n
i
,
a
n
d
M.
M
o
n
g
a
,
“
De
tec
ti
n
g
S
e
lf
-
m
u
tatin
g
M
a
lwa
re
Us
in
g
Co
n
tr
o
l
-
F
l
o
w
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r
a
p
h
M
a
tch
in
g
,”
In
:
Bü
sc
h
k
e
s
R.
,
L
a
s
k
o
v
P
.
(e
d
s)
De
tec
ti
o
n
o
f
In
tru
si
o
n
s
a
n
d
M
a
lw
a
re
&
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u
ln
e
ra
b
il
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y
A
ss
e
ss
m
e
n
t.
DIMV
A
2
0
0
6
.
L
e
c
tu
re
No
tes
in
Co
m
p
u
ter S
c
ien
c
e
,
v
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l
4
0
6
4
.
S
p
ri
n
g
e
r,
Be
rli
n
,
He
id
e
l
b
e
rg
.
[3
]
S.
Ra
m
u
,
“
M
o
b
il
e
M
a
lw
a
re
Ev
o
l
u
ti
o
n
,
De
tec
ti
o
n
,
a
n
d
De
f
e
n
se
,
”
S
e
ma
n
ti
c
sc
h
o
l
a
r
,
2
0
1
2
.
[4
]
H
.
S
.
Ha
m
a
n
d
M
.
J
.
Ch
o
i,
“
A
n
a
l
y
si
s
o
f
A
n
d
ro
id
m
a
l
w
a
re
d
e
tec
ti
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p
e
rf
o
r
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a
n
c
e
u
sin
g
m
a
c
h
in
e
lea
rn
in
g
c
las
si
f
iers
,
”
2
0
1
3
I
n
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
ICT
Co
n
v
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rg
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(
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,
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ju
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3
,
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5
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2
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3
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6
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4
0
4
.
[5
]
K.
Ha
m
a
n
d
i,
A
.
Ch
e
h
a
b
,
I.
H.
El
h
a
jj
,
a
n
d
A
.
Ka
y
ss
i,
“
A
n
d
ro
id
S
M
S
M
a
lw
a
re
:
V
u
l
n
e
ra
b
il
it
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a
n
d
M
it
ig
a
ti
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n
,
”
2
0
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3
2
7
t
h
I
n
ter
n
a
ti
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l
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fer
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n
A
d
v
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I
n
fo
rm
a
t
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n
Ne
tw
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rk
in
g
a
n
d
Ap
p
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t
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s
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rk
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p
s
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,
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A
IN
A
.
2
0
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.
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.
[6
]
Z
.
A
u
n
g
a
n
d
W
.
Zaw
,
“
P
e
rm
is
sio
n
-
Ba
se
d
A
n
d
ro
id
M
a
lw
a
re
D
e
tec
ti
o
n
,
”
I
n
ter
n
a
t
io
n
a
l
J
o
u
r
n
a
l
o
f
S
c
ien
ti
fi
c
&
T
e
c
h
n
o
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o
g
y
Res
e
a
rc
h
,
v
o
l.
2
,
n
o
.
3
,
p
p
.
2
2
8
2
3
4
,
2
0
1
3
.
[7
]
Y
.
Qu
a
n
d
K
.
H
u
g
h
e
s,
“
De
tec
ti
n
g
m
e
ta
m
o
rp
h
ic
m
a
l
w
a
re
b
y
u
sin
g
b
e
h
a
v
io
r
-
b
a
se
d
a
g
g
re
g
a
ted
sig
n
a
tu
re
,
”
W
o
rld
Co
n
g
re
ss
o
n
I
n
ter
n
e
t
S
e
c
u
rity (
W
o
rld
CIS
-
2
0
1
3
)
,
2
0
1
3
,
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o
i:
1
0
.
1
1
0
9
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o
rld
CIS
.
2
0
1
3
.
6
7
5
1
0
1
0
.
[8
]
K
.
Blo
k
h
in
,
J
.
S
a
x
e
,
a
n
d
D
.
M
e
n
ti
s,
“
M
a
lw
a
re
S
im
il
a
rit
y
Id
e
n
t
if
ica
ti
o
n
Us
in
g
Ca
ll
G
ra
p
h
-
Ba
se
d
S
y
ste
m
Ca
ll
S
u
b
se
q
u
e
n
c
e
F
e
a
tu
re
s,
”
2
0
1
3
IE
EE
3
3
rd
In
ter
n
a
ti
o
n
a
l
C
o
n
fer
e
n
c
e
o
n
Distrib
u
ted
C
o
mp
u
ti
n
g
S
y
st
e
ms
W
o
rk
sh
o
p
s
(
ICDCS
W
),
2
0
1
3
,
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o
i:
1
0
.
1
1
0
9
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CDCSW
.
2
0
1
3
.
5
5
.
[9
]
K
.
S
h
a
e
rp
o
u
r,
A
.
De
h
g
h
a
n
tan
h
a
,
a
n
d
R
.
M
a
h
m
o
d
,
“
T
re
n
d
s
in
A
n
d
r
o
id
M
a
lw
a
re
De
te
c
ti
o
n
,
”
J
o
u
rn
a
l
o
f
Di
g
it
a
l
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re
n
sic
s,
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e
c
u
rity
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d
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a
w
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.
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o
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3
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1
1
4
9
.
[1
0
]
W
.
P
a
r
k
,
K.
L
e
e
,
K.
Ch
o
,
a
n
d
W
.
Ry
u
,
“
A
n
a
l
y
z
in
g
a
n
d
d
e
tec
ti
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g
A
n
d
ro
id
m
a
l
w
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r
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m
e
th
o
d
v
ia
d
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a
ss
e
m
b
li
n
g
a
n
d
v
isu
a
li
z
a
ti
o
n
,
”
2
0
1
4
In
ter
n
a
ti
o
n
a
l
C
o
n
fer
e
n
c
e
o
n
In
f
o
rm
a
ti
o
n
a
n
d
C
o
mm
u
n
ic
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ti
o
n
T
e
c
h
n
o
lo
g
y
Co
n
v
e
rg
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n
c
e
(
ICT
C)
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sa
n
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0
1
4
,
p
p
.
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1
7
-
8
1
8
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i:
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0
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1
1
0
9
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C.
2
0
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4
.
6
9
8
3
3
0
0
.
[1
1
]
S
.
Y
o
o
n
,
J
.
K
i
m
,
a
n
d
H
.
C
h
o
,
“
D
e
t
e
c
t
i
o
n
o
f
S
M
S
m
o
b
i
l
e
m
a
l
w
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r
e
,
”
2
0
1
4
I
n
t
e
r
n
a
t
i
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l
C
o
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c
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l
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t
r
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c
s
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n
f
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t
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n
a
n
d
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o
m
m
u
n
i
c
a
t
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n
s
(
I
C
E
I
C
)
,
K
o
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1
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0
9
/
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L
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M
.
2
0
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4
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6
9
1
4
3
9
2
.
[1
2
]
K.
Ha
m
a
n
d
i,
A
.
S
a
lm
a
n
,
I.
H
.
E
l
h
a
jj
,
A
.
Ch
e
h
a
b
,
a
n
d
A
.
Ka
y
ss
i,
“
M
e
ss
a
g
in
g
A
tt
a
c
k
s
o
n
A
n
d
ro
i
d
:
V
u
l
n
e
ra
b
il
it
ies
a
n
d
I
n
tru
si
o
n
De
tec
ti
o
n
,
”
J
o
u
rn
a
l
o
f
M
o
b
i
le
In
fo
rm
a
t
i
o
n
S
y
ste
ms
,
v
o
l.
2
0
1
5
,
p
p
.
1
-
1
3
,
2
0
1
5
,
d
o
i:
1
0
.
1
1
5
5
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0
1
5
/
7
4
6
9
3
0
.
[1
3
]
Z.
W
a
n
g
,
C.
L
i,
Y.
G
u
a
n
,
a
n
d
Y.
X
u
e
,
“
Dro
id
C
h
a
in
:
A
n
o
v
e
l
m
a
l
w
a
re
d
e
tec
ti
o
n
m
e
th
o
d
f
o
r
An
d
r
o
id
-
b
a
se
d
o
n
b
e
h
a
v
io
r
c
h
a
i
n
,
”
2
0
1
5
IEE
E
C
o
n
fer
e
n
c
e
o
n
C
o
mm
u
n
ica
ti
o
n
s
a
n
d
Ne
two
rk
S
e
c
u
rity
(
CNS
)
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lo
re
n
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e
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0
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5
,
p
p
.
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2
7
-
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2
8
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0
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1
1
0
9
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.
2
0
1
5
.
7
3
4
6
9
0
6
.
[1
4
]
S
.
Na
v
a
l,
V.
L
a
x
m
i,
M
.
Ra
jara
jan
,
M
.
S
.
G
a
u
r
a
n
d
M
.
Co
n
ti
,
“
Em
p
lo
y
in
g
P
ro
g
ra
m
S
e
m
a
n
ti
c
s
f
o
r
M
a
lw
a
re
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tec
ti
o
n
,
”
in
IE
EE
T
ra
n
sa
c
ti
o
n
s
o
n
In
fo
rm
a
t
io
n
Fo
re
n
sic
s
a
n
d
S
e
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u
rity
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n
o
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p
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0
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0
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/T
IF
S
.
2
0
1
5
.
2
4
6
9
2
5
3
.
[1
5
]
X
.
Zh
a
n
g
a
n
d
Z
.
Ji
n
,
“
A
n
e
w
se
m
a
n
ti
c
s
-
b
a
se
d
a
n
d
ro
i
d
m
a
lwa
re
d
e
tec
ti
o
n
,
”
2
0
1
6
2
n
d
IEE
E
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
C
o
mp
u
ter
a
n
d
C
o
mm
u
n
ica
ti
o
n
s
(
ICCC)
,
Ch
e
n
g
d
u
,
2
0
1
6
,
p
p
.
1
4
1
2
-
1
4
1
6
,
d
o
i:
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0
.
1
1
0
9
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m
p
Co
m
m
.
2
0
1
6
.
7
9
2
4
9
3
6
.
[1
6
]
S
.
Ch
e
n
,
M
.
X
u
e
,
Z.
T
a
n
g
,
L
.
X
u
,
a
n
d
H.
Z
h
u
,
“
S
to
rm
Dro
i
d
:
A
S
trea
m
in
g
li
z
e
d
M
a
c
h
in
e
L
e
a
rn
in
g
-
Ba
se
d
S
y
ste
m
f
o
r
De
tec
ti
n
g
A
n
d
ro
id
M
a
lw
a
re
,
”
AS
IA
CCS
'1
6
:
Pro
c
e
e
d
in
g
s
o
f
t
h
e
1
1
t
h
ACM
o
n
Asia
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o
n
fer
e
n
c
e
o
n
Co
m
p
u
te
r
a
n
d
Co
mm
u
n
ica
t
io
n
s S
e
c
u
rity
,
M
a
y
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0
1
6
,
p
p
.
3
7
7
-
3
8
8
,
d
o
i:
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0
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1
1
4
5
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8
9
7
8
4
5
.
2
8
9
7
8
6
0
.
[1
7
]
A
.
D
e
m
o
n
ti
s,
e
t
a
l
.
,
“
Ye
s,
M
a
c
h
in
e
L
e
a
rn
in
g
Ca
n
Be
M
o
re
S
e
c
u
re
!
A
Ca
se
S
tu
d
y
o
n
A
n
d
ro
id
M
a
lw
a
re
De
te
c
ti
o
n
,
”
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
De
p
e
n
d
a
b
le
a
n
d
S
e
c
u
re
Co
m
p
u
t
in
g
,
v
o
l
.
1
6
,
n
o
.
4
,
p
p
.
7
1
1
-
7
2
4
,
1
Ju
ly
-
A
u
g
.
2
0
1
9
,
d
o
i:
1
0
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1
1
0
9
/T
DSC.
2
0
1
7
.
2
7
0
0
2
7
0
.
[1
8
]
F
.
D
i
C
e
r
b
o
,
A
.
G
i
r
a
r
d
e
l
l
o
,
F
.
M
i
c
h
a
h
e
l
l
e
s
,
a
n
d
S
.
V
o
r
o
n
k
o
v
a
,
“
D
e
t
e
c
t
i
o
n
o
f
M
a
l
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c
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s
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p
p
l
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c
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t
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n
A
n
d
r
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d
O
.
S
.
,
”
I
n
t
e
r
n
a
t
i
o
n
a
l
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o
r
k
s
h
o
p
o
n
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o
m
p
u
t
a
t
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n
a
l
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o
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n
s
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c
s
,
2
0
1
1
,
p
p
.
1
3
8
-
1
4
9
,
d
o
i
:
1
0
.
1
0
0
7
/
9
7
8
-
3
-
642
-
1
9
3
7
6
-
7_12
.
[1
9
]
J.
G
rish
a
m
,
S
.
S
a
m
tan
i,
M
.
P
a
tt
o
n
a
n
d
H.
Ch
e
n
,
"
Id
e
n
ti
f
y
in
g
m
o
b
il
e
m
a
l
w
a
re
a
n
d
k
e
y
th
re
a
t
a
c
to
rs
in
o
n
li
n
e
h
a
c
k
e
r
f
o
ru
m
s
f
o
r
p
ro
a
c
ti
v
e
c
y
b
e
r
th
re
a
t
in
telli
g
e
n
c
e
,
"
2
0
1
7
IEE
E
I
n
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
In
telli
g
e
n
c
e
a
n
d
S
e
c
u
rity
In
fo
rm
a
t
ics
(
IS
I)
,
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ij
in
g
,
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0
1
7
,
p
p
.
1
3
-
1
8
,
d
o
i:
1
0
.
1
1
0
9
/I
S
I.
2
0
1
7
.
8
0
0
4
8
6
7
.
[2
0
]
B.
Am
ro
,
“
M
a
lw
a
re
De
tec
ti
o
n
T
e
c
h
n
iq
u
e
s
f
o
r
M
o
b
il
e
De
v
ic
e
s,”
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
M
o
b
il
e
Ne
two
r
k
Co
mm
u
n
ica
ti
o
n
s &
T
e
le
ma
ti
c
s (
I
J
M
NCT
),
v
o
l.
7
,
n
o
.
4
6
,
De
c
e
m
b
e
r
2
0
1
7
,
d
o
i:
1
0
.
5
1
2
1
/i
jm
n
c
t.
2
0
1
7
.
7
6
0
1
.
[2
1
]
M
.
Yo
u
se
f
i
-
A
z
a
r,
Leo
n
a
rd
G
.
C.
Ha
m
e
y
,
V
.
V
a
ra
d
h
a
ra
jan
,
a
n
d
S
.
Ch
e
n
,
“
M
a
ly
ti
c
s:
A
M
a
l
w
a
re
De
t
e
c
ti
o
n
S
c
h
e
m
e
,
”
IEE
E
Acc
e
ss
,
v
o
l.
6
,
p
p
.
4
9
4
1
8
-
4
9
4
3
1
,
2
0
1
8
,
d
o
i:
1
0
.
1
1
0
9
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CCES
S
.
2
0
1
8
.
2
8
6
4
8
7
1
.
[2
2
]
M
.
N.
A
ri
f
,
A
.
A
.
Ba
k
a
r,
a
n
d
M
.
M
.
S
a
u
d
i,
“
A
Ne
w
M
o
b
il
e
M
a
lw
a
r
e
Clas
si
f
ic
a
ti
o
n
f
o
r
A
u
d
io
Ex
p
lo
it
a
ti
o
n
,
”
In
ter
n
a
t
io
n
a
l
j
o
u
rn
a
l
o
f
e
n
g
i
n
e
e
rin
g
a
n
d
tec
h
n
o
l
o
g
y
,
v
o
l.
7
,
n
o
.
4
,
p
p
.
5
9
-
6
2
,
2
0
1
8
,
d
o
i:
1
0
.
1
4
4
1
9
/
ij
e
t.
v
7
i
4
.
1
5
.
2
1
3
7
2
.
[2
3
]
A
.
A
.
D
.
Utk
u
,
a
n
d
M
.
A
.
A
k
c
a
y
o
l,
“
De
c
isio
n
tree
-
b
a
se
d
a
n
d
ro
i
d
m
a
l
w
a
re
d
e
tec
ti
o
n
sy
ste
m
,
”
2
0
1
8
2
6
t
h
S
ig
n
a
l
Pro
c
e
ss
in
g
a
n
d
Co
mm
u
n
ic
a
ti
o
n
s
A
p
p
li
c
a
ti
o
n
s
C
o
n
fer
e
n
c
e
(
S
IU)
,
Iz
m
ir,
2
0
1
8
,
p
p
.
1
-
4
,
d
o
i:
1
0
.
1
1
0
9
/S
IU.
2
0
1
8
.
8
4
0
4
1
5
1
.
[2
4
]
S
.
I
q
b
a
l
a
n
d
M
.
Zu
lk
e
rn
i
n
e
,
“
S
p
y
Dro
id
:
A
F
ra
m
e
w
o
rk
f
o
r
Em
p
lo
y
in
g
M
u
lt
ip
le
Re
a
l
-
T
i
m
e
M
a
lw
a
r
e
De
tec
to
rs
o
n
A
n
d
ro
id
,
”
2
0
1
8
1
3
th
I
n
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
M
a
li
c
io
u
s
a
n
d
Un
wa
n
ted
S
o
ft
w
a
re
(
M
AL
W
A
RE)
,
Na
n
tu
c
k
e
t,
M
A
,
USA
,
2
0
1
8
,
p
p
.
1
-
8
,
d
o
i:
1
0
.
1
1
0
9
/M
A
L
WARE.
2
0
1
8
.
8
6
5
9
3
6
5
.
[2
5
]
S
.
Ja
m
m
a
la
m
a
d
a
k
a
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1
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JK
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3
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B.
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.
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T
rip
a
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,
“
M
o
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4
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5
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R.
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C.
P
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V.,
“
Ne
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6
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M
.
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.
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,
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Fa
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[3
7
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S
.
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D.
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[3
8
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P
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V
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Ra
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In
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f
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re
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s,”
In
ter
n
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ti
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n
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J
o
u
rn
a
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o
f
M
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c
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En
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.
Evaluation Warning : The document was created with Spire.PDF for Python.