I
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o
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ia
n J
o
urna
l o
f
E
lect
rica
l En
g
ineering
a
nd
Co
m
p
u
t
er
Science
Vo
l.
21
,
No
.
2
,
Feb
r
u
ar
y
2021
,
p
p
.
1
1
2
1
~1
1
31
I
SS
N:
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02
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5
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cs.v
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31
1121
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cs.ia
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m
SQ
L in
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tion a
t
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ck
s
c
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ter
m
ea
s
ures
a
ss
ess
m
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nts
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a
m
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lenezi
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uh
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a
d Na
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a
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ll
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o
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ter an
d
In
f
o
rm
a
ti
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c
ien
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e
s,
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rin
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e
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u
lt
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n
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i
v
e
rsit
y
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a
u
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ra
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ia
2
,
3
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p
a
rt
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e
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o
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ter E
n
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g
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a
c
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lt
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IC
T
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BUIT
EM
S
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e
tt
a
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P
a
k
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icle
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nfo
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ticle
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to
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y:
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ec
eiv
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J
u
n
2
6
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0
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ev
i
s
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u
g
11
,
2
0
2
0
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cc
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ted
A
u
g
21
,
2
0
2
0
S
QL
in
jec
ti
o
n
s
a
tt
a
c
k
s
h
a
v
e
b
e
e
n
ra
ted
a
s
th
e
m
o
st
d
a
n
g
e
ro
u
s
v
u
ln
e
ra
b
il
it
y
o
f
w
e
b
-
b
a
se
d
s
y
ste
m
s
o
v
e
r
m
o
re
th
a
n
a
d
e
c
a
d
e
b
y
O
WA
S
P
to
p
te
n
.
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h
o
u
g
h
d
if
fe
re
n
t
sta
ti
c
,
ru
n
ti
m
e
a
n
d
h
y
b
rid
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p
ro
a
c
h
e
s
h
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v
e
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e
e
n
p
r
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p
o
se
d
to
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o
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ter
S
QL
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jec
ti
o
n
a
tt
a
c
k
s,
n
o
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g
le
a
p
p
ro
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h
g
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n
tee
s
f
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re
v
e
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o
n
/
d
e
tec
ti
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n
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e
se
a
tt
a
c
k
s.
Hu
n
d
re
d
s
o
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o
m
p
o
n
e
n
t
s
o
f
o
p
e
n
so
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rc
e
a
n
d
c
o
m
m
e
r
c
ial
so
f
t
w
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re
p
ro
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ts
a
re
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p
o
rted
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e
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l
n
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ra
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le
f
o
r
S
QL
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ti
o
n
to
C
V
E
re
p
o
sit
o
ry
e
v
e
r
y
y
e
a
r.
In
th
is
m
a
p
p
in
g
stu
d
y
,
we
id
e
n
ti
f
y
d
i
ff
e
re
n
t
e
x
isti
n
g
a
p
p
ro
a
c
h
e
s
in
term
s
o
f
th
e
c
o
st
o
f
c
o
m
p
u
tatio
n
a
n
d
p
ro
tec
ti
o
n
o
f
fe
re
d
.
W
e
f
o
u
n
d
t
h
a
t
m
o
st
o
f
th
e
e
x
isti
n
g
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h
n
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e
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m
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r
p
ro
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o
n
a
v
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ry
s
m
a
ll
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li
m
it
e
d
s
c
a
le.
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h
is
stu
d
y
d
isse
c
ts
e
a
c
h
p
ro
p
o
se
d
a
p
p
ro
a
c
h
a
n
d
h
ig
h
l
ig
h
ts
th
e
ir
stre
n
g
th
s
a
n
d
w
e
a
k
n
e
ss
e
s
a
n
d
c
a
teg
o
rize
s
th
e
m
b
a
se
d
o
n
th
e
u
n
d
e
rly
in
g
te
c
h
n
o
lo
g
y
u
se
d
to
d
e
tec
t
o
r
c
o
u
n
ter t
h
e
i
n
jec
ti
o
n
a
tt
a
c
k
s.
K
ey
w
o
r
d
s
:
C
VE
Data
b
ase
s
ec
u
r
it
y
I
n
j
ec
tio
n
attac
k
SQL
I
A
SQL
I
V
T
h
is
is
a
n
o
p
e
n
a
c
c
e
ss
a
rticle
u
n
d
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r th
e
CC B
Y
-
SA
li
c
e
n
se
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
Ma
m
d
o
u
h
A
len
ez
i
Dep
ar
t
m
en
t o
f
C
o
m
p
u
ter
Scie
n
ce
P
r
in
ce
Su
lta
n
Un
iv
er
s
it
y
P
.
O.
B
o
x
No
.
6
6
8
3
3
R
af
h
a
Str
ee
t,
R
i
y
ad
h
1
1
5
8
6
Sau
d
i A
r
ab
ia
E
m
ail:
m
ale
n
ez
i
@
p
s
u
.
ed
u
.
s
a
1.
I
NT
RO
D
UCT
I
O
N
I
n
r
ec
en
t
y
ea
r
s
SQ
L
in
j
ec
tio
n
s
h
av
e
e
m
er
g
ed
as
o
n
e
o
f
th
e
m
o
s
t
d
an
g
er
o
u
s
t
y
p
e
s
o
f
attac
k
s
to
w
eb
-
b
ased
s
y
s
te
m
s
a
n
d
ar
e
r
an
k
ed
n
u
m
b
er
o
n
e
a
m
o
n
g
t
h
e
Op
en
W
eb
A
p
p
licatio
n
Sec
u
r
it
y
P
r
o
j
ec
t‟
s
(
OW
A
SP
)
to
p
ten
v
u
l
n
er
ab
ilit
ies [
1
]
.
SQ
L
i
n
j
ec
tio
n
attac
k
s
(
SQ
L
I
As)
ar
e
lau
n
c
h
ed
b
y
e
n
ter
in
g
m
ali
cio
u
s
c
h
ar
ac
ter
s
i
n
to
th
e
i
n
p
u
t
f
ield
s
o
f
w
eb
ap
p
licatio
n
s
r
es
u
lti
n
g
i
n
a
m
o
d
i
f
ied
SQL
q
u
er
y
.
T
h
er
e
h
as
n
o
t
b
ee
n
a
lo
n
g
h
is
to
r
y
o
f
SQL
i
n
j
ec
tio
n
atta
ck
s
.
Du
r
i
n
g
th
e
ea
r
l
y
d
a
y
s
o
f
t
h
e
I
n
te
r
n
et,
m
o
s
t
co
n
te
n
t
w
a
s
s
tatic
an
d
n
o
t
p
r
o
n
e
to
in
j
ec
tio
n
attac
k
s
.
T
h
e
f
ir
s
t
l
ar
g
e
s
ca
le
SQ
L
in
j
ec
tio
n
at
t
ac
k
w
a
s
la
u
n
c
h
ed
i
n
Feb
2
0
0
2
o
n
Gu
es
s
.
co
m
cu
s
to
m
er
s
‟
d
atab
ase
p
er
m
itti
n
g
t
h
e
attac
k
er
to
r
etr
iev
e
m
o
r
e
t
h
a
n
2
0
0
,
0
0
0
cu
s
to
m
er
n
a
m
e
s
,
cr
ed
it
ca
r
d
n
u
m
b
er
s
,
a
n
d
e
x
p
ir
atio
n
d
ates.
Mo
r
e
r
ec
en
tl
y
,
th
e
Natio
n
al
Vu
ln
er
ab
ilit
y
Data
b
ase
(
N
VD)
r
ep
o
r
ts
th
a
t
7
p
er
ce
n
t
o
f
t
h
e
to
tal
r
ep
o
r
ted
in
cid
en
ts
i
n
2
0
1
1
w
er
e
ca
u
s
ed
b
y
SQ
L
i
n
j
ec
tio
n
s
[
2
]
.
Mo
r
eo
v
er
,
it
w
a
s
d
is
co
v
er
ed
th
at
an
a
v
e
r
ag
e
o
f
7
1
SQL
in
j
ec
tio
n
attac
k
s
i
s
att
e
m
p
ted
ev
er
y
h
o
u
r
[
3
]
.
SQL
I
As
ar
e
u
s
ed
b
y
attac
k
er
s
to
g
ain
ac
ce
s
s
to
co
n
f
id
en
t
ial
in
f
o
r
m
atio
n
in
a
d
atab
ase.
S
QL
I
A
s
ca
n
r
esu
lt
i
n
a
f
in
a
n
cial
lo
s
s
a
s
well
as
a
d
a
m
a
g
ed
r
ep
u
tatio
n
f
o
r
th
e
i
m
p
ac
ted
o
r
g
an
izatio
n
.
T
h
er
e
is
n
o
s
o
u
n
d
tech
n
iq
u
e
o
r
co
m
b
i
n
atio
n
o
f
t
ec
h
n
iq
u
es
th
at
f
u
ll
y
p
r
o
tects
ag
ain
s
t
al
l
t
y
p
e
s
o
f
SQ
L
I
As
[
4
]
.
T
o
h
elp
p
r
o
tect
co
n
f
id
e
n
tial
d
ata
f
r
o
m
b
ein
g
illeg
all
y
ac
ce
s
s
ed
b
y
attac
k
er
s
u
s
i
n
g
SQ
L
I
A
,
t
h
e
e
f
f
ec
t
i
v
en
e
s
s
o
f
d
if
f
er
en
t
tech
n
iq
u
es
a
n
d
co
m
b
i
n
atio
n
s
o
f
tech
n
iq
u
es
n
ee
d
to
b
e
ev
alu
a
ted
to
d
eter
m
in
e
a
r
o
b
u
s
t
s
et
o
f
co
m
b
i
n
ed
tech
n
iq
u
es
to
les
s
en
th
e
i
m
p
ac
t
SQ
L
I
A
s
h
a
v
e
o
n
a
n
o
r
g
an
izatio
n
.
Ou
r
s
tr
ateg
y
f
o
r
d
eter
m
i
n
in
g
w
h
ic
h
tech
n
iq
u
es
an
d
co
m
b
i
n
atio
n
s
o
f
tech
n
iq
u
es
ar
e
m
o
s
t
e
f
f
ec
ti
v
e
co
n
s
is
t
s
o
f
p
er
f
o
r
m
i
n
g
a
s
y
s
te
m
atic
m
ap
p
i
n
g
s
tu
d
y
o
n
th
e
s
u
b
j
ec
t o
f
SQ
L
I
A
m
it
ig
at
io
n
s
tr
ateg
ies.
B
y
an
a
l
y
zin
g
th
e
ef
f
ec
ti
v
e
n
es
s
o
f
v
ar
i
o
u
s
tec
h
n
iq
u
es,
w
e
w
il
l
b
e
ab
le
to
id
en
tify
th
e
b
est
p
r
o
tectio
n
m
ec
h
a
n
i
s
m
s
th
at
also
co
n
s
u
m
e
t
h
e
least
h
u
m
an
a
n
d
co
m
p
u
ti
n
g
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
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4752
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci,
Vo
l.
21
,
No
.
2
,
Feb
r
u
ar
y
2
0
2
1
:
1
1
21
-
11
31
1122
r
eso
u
r
ce
s
.
T
h
e
r
est
o
f
th
e
p
ap
er
is
o
r
g
an
ized
as
f
o
llo
w
s
:
Se
ctio
n
2
co
n
tain
s
b
ac
k
g
r
o
u
n
d
i
n
f
o
r
m
atio
n
o
n
SQ
L
in
j
ec
tio
n
s
;
Sectio
n
3
co
n
tai
n
s
o
u
r
r
esear
ch
m
e
th
o
d
o
lo
g
y
;
Se
ctio
n
4
i
s
o
u
r
s
y
n
th
e
s
is
/
r
es
u
lt
s
;
Sec
t
io
n
5
is
o
u
r
co
n
clu
s
io
n
a
n
d
p
o
s
s
ib
le
f
u
tu
r
e
w
o
r
k
.
2.
B
ACK
G
RO
UND
SQL
,
S
tr
u
ct
u
r
ed
Qu
er
y
L
a
n
g
u
ag
e,
is
u
s
ed
to
r
etr
iev
e
an
d
m
a
n
ip
u
late
d
ata
i
n
a
d
atab
ase.
SQL
ca
n
b
e
u
s
ed
to
e
x
ec
u
te
q
u
er
ies
to
r
etr
iev
e,
in
s
er
t,
d
elete
,
an
d
ed
it
d
ata
w
ith
in
a
d
atab
ase.
Mo
s
t
o
f
to
d
a
y
‟
s
ap
p
licatio
n
s
r
eq
u
ir
e
d
ata
s
to
r
ag
e
an
d
ac
ce
s
s
to
b
o
th
lo
ca
l
an
d
r
em
o
te
d
atab
ases
.
T
o
lau
n
ch
a
n
SQ
L
I
A
,
an
attac
k
er
in
s
er
ts
m
alicio
u
s
co
m
m
an
d
s
in
to
a
n
in
p
u
t stri
n
g
.
B
y
ch
a
n
g
in
g
th
e
ex
ec
u
ted
s
tat
e
m
en
t,
a
d
atab
ase
ca
n
d
i
v
u
lg
e
d
ata
th
at
d
ee
m
ed
p
r
i
v
ate
b
y
it
s
cr
ea
to
r
s
.
SQL
I
A
ca
n
also
b
e
u
s
ed
to
g
ai
n
ac
ce
s
s
to
s
ites
w
it
h
o
u
t
p
r
io
r
k
n
o
w
led
g
e
o
f
ac
ce
p
t
ab
le
u
s
er
n
a
m
e
s
o
r
p
ass
w
o
r
d
s
.
A
ttac
k
er
s
m
a
y
a
ls
o
co
m
m
en
t o
u
t c
er
tain
p
ar
ts
o
f
th
e
q
u
er
y
as
s
h
o
w
n
i
n
Fi
g
u
r
e
1
.
Fig
u
r
e
1
.
E
x
a
m
p
le
o
f
S
Q
L
in
j
ec
tio
n
attac
k
[
5
]
SQL
I
As
ar
e
th
e
m
o
s
t
co
m
m
o
n
w
eb
s
ite
v
u
l
n
er
ab
ilit
y
.
T
h
e
r
e
h
av
e
b
ee
n
m
a
n
y
h
i
g
h
-
p
r
o
f
ile
attac
k
s
p
er
f
o
r
m
ed
t
h
r
o
u
g
h
t
h
e
y
ea
r
s
;
o
n
e
p
r
o
m
i
n
e
n
t
SQ
L
I
A
w
as
p
e
r
f
o
r
m
ed
b
y
L
u
lzSec
o
n
So
n
y
P
ictu
r
es.c
o
m
w
h
er
e
th
e
o
r
g
an
izatio
n
s
to
le
m
il
lio
n
s
o
f
d
ig
ital c
o
u
p
o
n
s
an
d
p
ass
wo
r
d
s
s
to
r
ed
in
p
lain
tex
t [
6
]
.
2
.
1
.
T
y
pes
o
f
t
a
rg
et
s
y
s
t
e
m
s
W
e
f
o
u
n
d
e
x
is
t
in
g
tec
h
n
iq
u
e
s
to
co
u
n
ter
S
QL
I
As
t
h
at
w
e
r
e
em
p
ir
ical
l
y
e
v
al
u
ated
o
n
s
y
s
te
m
s
o
f
d
if
f
er
e
n
t
t
y
p
es
a
n
d
s
izes.
W
e
ca
teg
o
r
ized
th
e
s
e
s
y
s
te
m
s
i
n
to
th
r
ee
g
r
o
u
p
s
,
“
to
y
s
y
s
te
m
s
,
”
“
li
m
ited
s
ca
l
e,
”
a
n
d
“
lar
g
e
-
s
ca
le”
s
y
s
te
m
s
.
T
h
ese
t
er
m
s
ar
e
d
ef
i
n
ed
as f
o
llo
w
s
:
a)
A
“
to
y
s
y
s
te
m
”
i
s
a
s
y
s
te
m
cr
ea
ted
f
o
r
th
e
s
o
le
p
u
r
p
o
s
e
o
f
t
esti
n
g
co
d
e
as
o
p
p
o
s
ed
to
a
s
y
s
te
m
t
h
at
w
a
s
alr
ea
d
y
p
er
f
o
r
m
in
g
a
u
s
e
f
u
l
s
er
v
ice.
T
o
y
s
y
s
te
m
s
ar
e
co
n
tr
iv
ed
an
d
,
th
er
e
f
o
r
e,
m
a
y
p
r
o
v
id
e
in
ac
cu
r
ate
d
ata
as th
e
y
m
a
y
n
o
t b
e
a
g
o
o
d
r
ep
r
esen
tatio
n
o
f
r
ea
l c
o
n
d
iti
o
n
s
.
b)
A
“
li
m
ited
-
s
ca
le”
s
y
s
te
m
f
o
r
test
in
g
SQ
L
I
A
p
r
ev
e
n
tio
n
tec
h
n
iq
u
e
s
is
li
m
ited
in
eit
h
er
th
e
f
ea
tu
r
es
t
h
at
ca
n
b
e
test
ed
o
n
it,
it
s
r
eliab
ili
t
y
,
o
r
it
m
a
y
j
u
s
t
n
o
t
b
e
m
ai
n
t
ain
e
d
.
T
h
ese
p
r
o
v
id
e
b
etter
r
e
s
u
lt
s
t
h
an
to
y
s
y
s
te
m
s
b
u
t a
r
e
s
ti
ll n
o
t r
ea
lis
t
ic
r
ep
r
esen
tativ
e
s
o
f
i
n
d
u
s
tr
ial
s
y
s
te
m
s
.
c)
A
“
lar
g
e
-
s
ca
le”
s
y
s
te
m
is
a
n
estab
lis
h
ed
co
d
eb
ase
th
at
p
er
f
o
r
m
s
m
an
y
u
s
ef
u
l
f
u
n
ctio
n
s
a
n
d
is
r
eg
u
lar
l
y
m
ai
n
tai
n
ed
.
T
h
ese
ar
e
t
h
e
t
y
p
es
o
f
s
y
s
te
m
s
t
h
e
p
r
ev
e
n
tio
n
t
ec
h
n
iq
u
es
ar
e
d
esi
g
n
ed
to
p
r
o
tect;
t
h
er
ef
o
r
e,
th
e
r
esu
lts
o
b
tain
ed
f
r
o
m
test
i
n
g
t
h
e
m
ar
e
th
e
m
o
s
t a
cc
u
r
ate.
2
.
2
.
I
s
SQ
L
inje
ct
io
n a
n o
ld
da
y
’
s
pro
ble
m
?
T
h
e
SQL
i
n
j
ec
tio
n
is
n
o
t
an
o
ld
d
a
y
‟
s
p
r
o
b
le
m
,
w
e
f
o
u
n
d
th
e
p
r
o
b
le
m
r
ep
o
r
ted
in
m
o
s
t
r
ec
e
n
t
liter
atu
r
e
as
w
ell.
Fo
r
in
s
ta
n
ce
,
a
s
tu
d
y
co
n
d
u
cted
o
n
s
ec
u
r
it
y
v
u
l
n
er
ab
ilit
ie
s
r
elate
d
to
w
e
b
-
b
ased
d
ata
[
7
]
in
2
0
1
9
a
r
g
u
es t
h
at
m
ec
h
a
n
is
m
s
cu
r
r
en
tl
y
in
p
lace
ar
e
in
s
u
f
f
ici
en
t.
U
s
e
r
I
D
:
A
d
m
in
ist
ra
t
or
P
a
s
s
word
:
a
P
a
s
s
word
S
e
l
e
c
t
*
f
r
o
m
u
se
r
s
wher
e
u
se
r
I
D
=
‘
A
d
mi
n
i
str
ato
r
’
an
d
p
asswor
d
=
‘
a
Passw
o
r
d
’
U
s
e
r
I
D
:
’
OR
1
=
1
;
/
*
P
a
s
s
word
:
*/
--
S
e
l
e
c
t
*
f
r
o
m
u
se
r
s
wher
e
u
se
r
I
D
=
‘
’
OR
1
=
1;
/
*
an
d
p
assw
o
r
d
=
‘
*/
--
’
L
ogi
n
L
ogi
n
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
S
QL in
jectio
n
a
tta
ck
s
co
u
n
termea
s
u
r
es a
s
s
e
s
s
men
ts
(
Ma
md
o
u
h
A
len
ezi)
1123
Si
m
i
lar
l
y
,
a
s
t
u
d
y
co
n
d
u
cted
in
2
0
2
0
p
r
o
p
o
s
es
i
m
p
r
o
v
ed
w
a
y
s
o
f
s
to
r
in
g
p
ass
w
o
r
d
s
an
d
o
th
e
r
cr
itical
in
f
o
r
m
atio
n
[
8
]
as
th
e
b
r
ea
ch
es
d
u
e
to
in
j
ec
tio
n
s
a
n
d
o
th
er
r
elate
d
attac
k
s
r
ev
ea
l
th
e
p
ass
w
o
r
d
s
an
d
o
th
er
cr
itical
in
f
o
r
m
atio
n
.
T
h
e
attac
k
s
ar
e
n
o
t
li
m
ited
to
tr
ad
itio
n
al
d
atab
ase
s
y
s
te
m
s
r
ath
er
s
m
ar
t
g
r
id
s
a
n
d
o
th
er
c
y
b
er
-
p
h
y
s
ical
s
y
s
te
m
s
h
av
e
b
ee
n
th
e
tar
g
et
o
f
attac
k
er
s
i
n
r
ec
en
t
y
ea
r
s
.
An
o
th
er
s
t
u
d
y
co
n
d
u
cted
in
2
0
2
0
h
ig
h
li
g
h
ts
th
e
e
s
s
e
n
tial
s
s
ec
u
r
it
y
f
ea
t
u
r
es
f
o
r
ad
v
an
ce
d
e
n
er
g
y
m
a
n
a
g
e
m
e
n
t
s
y
s
te
m
s
[
9
]
.
A
lt
h
o
u
g
h
h
u
n
d
r
ed
s
o
f
s
t
u
d
ies
m
a
y
b
e
li
s
ted
to
h
i
g
h
li
g
h
t
t
h
e
i
m
p
o
r
tan
ce
o
f
t
h
e
i
m
p
r
o
v
ed
s
ec
u
r
i
t
y
m
e
ch
an
i
s
m
to
co
u
n
ter
v
u
l
n
er
ab
ilit
ie
s
,
it is
n
o
t th
e
f
o
cu
s
o
f
c
u
r
r
en
t r
esear
c
h
.
3.
RE
S
E
ARCH
M
E
T
H
O
DO
L
O
G
Y
Ou
r
r
esear
ch
co
n
s
is
ted
o
f
r
ea
d
in
g
r
e
s
ea
r
ch
p
ap
er
s
o
n
th
e
c
u
r
r
en
t
b
o
d
y
o
f
tec
h
n
iq
u
es
an
d
ev
al
u
ati
n
g
th
o
s
e
tec
h
n
iq
u
es b
ased
o
n
t
h
e
f
o
llo
w
in
g
attr
ib
u
tes:
a)
Ov
er
h
ea
d
to
i
m
p
le
m
e
n
t/ late
n
c
y
to
u
s
e
t
h
e
tec
h
n
iq
u
e
b)
C
o
v
er
ag
e
o
f
f
er
ed
f
o
r
d
if
f
er
en
t
t
y
p
es o
f
SQ
L
I
As
c)
Mu
lti
-
la
n
g
u
a
g
e/
p
lat
f
o
r
m
s
u
p
p
o
r
t o
f
f
er
ed
d)
Dete
ctio
n
o
r
s
u
cc
e
s
s
r
ate
e)
Fals
e
-
p
o
s
iti
v
e
o
r
tr
u
e
n
eg
a
tiv
e
d
etec
tio
n
f)
E
m
p
ir
ical
ev
al
u
atio
n
o
f
th
e
te
ch
n
iq
u
e
W
e
ch
o
s
e
th
e
s
e
attr
ib
u
tes
b
ased
o
n
ex
i
s
ti
n
g
r
esear
ch
a
i
m
ed
at
ar
g
u
i
n
g
th
e
u
s
ef
u
l
n
e
s
s
o
f
th
eir
tech
n
iq
u
es
[
6
-
=1
0
,
2
4
=d
elete
,
3
0
=d
elete
]
.
B
ec
au
s
e
o
f
t
h
e
la
r
g
e
n
u
m
b
er
o
f
s
o
u
r
ce
s
f
o
r
m
it
ig
atio
n
tec
h
n
iq
u
es
(
>5
0
)
id
en
tif
ied
i
n
o
u
r
li
ter
atu
r
e
s
ea
r
ch
,
it i
s
n
o
t
f
ea
s
ib
le
to
i
n
d
ep
en
d
en
tl
y
e
v
al
u
ate
all
th
e
t
ec
h
n
iq
u
es
as
a
p
ar
t
o
f
th
i
s
s
t
u
d
y
.
T
h
er
ef
o
r
e,
w
e
ar
e
u
s
i
n
g
t
h
e
ev
a
lu
at
io
n
r
esu
lts
p
r
o
v
id
ed
in
th
e
r
esp
ec
tiv
e
s
t
u
d
ies.
W
e
f
o
u
n
d
th
a
t
th
e
s
elec
ted
tech
n
iq
u
e
s
e
m
p
ir
icall
y
ev
al
u
ated
s
y
s
te
m
s
o
f
d
i
f
f
er
en
t
t
y
p
es
a
n
d
s
izes
an
d
u
s
ed
m
u
ltip
le
test
i
n
g
s
tr
ateg
ie
s
.
A
cc
o
r
d
in
g
l
y
,
w
e
ca
n
n
o
t d
ev
elo
p
o
n
e
co
m
m
o
n
s
ca
le
to
m
ea
s
u
r
e
ea
ch
tech
n
iq
u
e‟
s
ch
ar
ac
ter
is
tics
.
3
.
1
.
Resea
rc
h
qu
estio
ns
Ou
r
r
esear
ch
f
o
cu
s
e
s
o
n
t
h
e
f
o
llo
w
i
n
g
q
u
est
io
n
s
:
a)
W
h
ich
tec
h
n
iq
u
es
h
a
v
e
r
elativ
el
y
lo
w
er
o
v
er
h
ea
d
th
a
n
o
th
er
s
?
b)
W
h
ich
tec
h
n
iq
u
es
h
a
v
e
h
i
g
h
co
v
er
ag
e
o
f
SQ
L
I
As (
i.e
.
,
v
ar
io
u
s
t
y
p
e
s
o
f
SQ
L
I
As it f
in
d
s
)
?
c)
W
h
ich
tec
h
n
iq
u
es
h
a
v
e
r
eliab
ly
a
f
e
w
f
alse p
o
s
iti
v
e
s
?
T
h
e
m
o
ti
v
atio
n
b
eh
i
n
d
th
e
s
e
r
esear
ch
q
u
esti
o
n
s
is
to
f
i
g
u
r
e
o
u
t
th
o
s
e
ex
i
s
ti
n
g
tec
h
n
iq
u
es
w
h
ic
h
h
a
v
e
lo
w
er
o
v
er
h
ea
d
,
h
ig
h
er
co
v
e
r
ag
e,
an
d
lo
w
er
f
alse
p
o
s
iti
v
e
d
etec
tio
n
r
ates,
etc.
T
h
e
g
o
al
is
to
co
m
b
i
n
e
tech
n
iq
u
es
to
f
o
r
m
h
y
b
r
id
ap
p
r
o
ac
h
es
t
h
at
h
av
e
th
e
h
i
g
h
est
d
etec
tio
n
r
ate
an
d
co
v
er
ag
e;
l
o
w
est
f
a
ls
e
p
o
s
iti
v
e
r
ate;
an
d
ar
e
th
e
m
o
s
t e
f
f
icie
n
t
.
3
.
2.
Da
t
a
c
o
llect
io
n &
m
et
ri
cs
T
h
e
f
ir
s
t
s
tep
w
h
e
n
p
er
f
o
r
m
i
n
g
a
s
y
s
te
m
atic
liter
atu
r
e
r
ev
ie
w
is
to
co
llect
d
ata
f
r
o
m
a
ll
r
elev
a
n
t
s
o
u
r
ce
s
to
an
al
y
ze
.
T
h
e
m
ai
n
o
b
j
ec
tiv
e
is
to
f
in
d
ev
id
e
n
c
e
ad
d
r
ess
in
g
t
h
e
r
esear
ch
q
u
esti
o
n
s
.
T
h
e
s
ea
r
ch
s
tar
ts
b
y
f
i
g
u
r
i
n
g
o
u
t
w
h
at
k
e
y
w
o
r
d
s
b
est
d
escr
ib
e
th
e
r
e
s
ea
r
ch
q
u
e
s
tio
n
s
.
T
h
ese
k
e
y
w
o
r
d
s
w
ill
t
h
e
n
b
e
s
ea
r
ch
ed
in
d
i
f
f
er
e
n
t
r
esear
ch
d
o
cu
m
en
t
d
atab
ase
s
.
T
h
e
d
a
tab
ases
u
s
ed
in
t
h
is
r
esear
c
h
ar
e
I
E
E
E
Xp
l
o
r
e,
AC
M
Dig
i
tal
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ib
r
ar
y
,
Go
o
g
l
e
Sch
o
lar
,
E
l
s
ev
ier
,
an
d
Sco
p
u
s
.
T
ab
le
1
ca
teg
o
r
izes
p
ap
er
s
s
o
u
r
ce
t
y
p
e
an
d
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u
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licatio
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atab
ase.
T
ab
le
1
.
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4
Ke
y
w
o
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d
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u
s
ed
to
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r
ch
r
elev
an
t
liter
atu
r
e
w
er
e
“
S
Q
L
in
j
ec
tio
n
”,
“
I
n
j
ec
tio
n
atta
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”,
“
S
QL
in
j
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tio
n
attac
k
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a
n
d
“
S
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T
h
e
to
tal
n
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m
b
er
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f
p
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n
d
b
y
s
ea
r
ch
i
n
g
th
e
d
atab
ases
w
as
3
2
6
.
Af
ter
f
ilter
i
n
g
d
u
p
licate
s
,
t
h
er
e
w
er
e
2
9
4
p
ap
er
s
to
an
al
y
ze
.
Se
v
e
r
al
p
ap
er
s
d
is
cu
s
s
ed
m
u
ltip
le
t
y
p
es
o
f
i
n
j
ec
tio
n
s
.
T
ab
le
2
b
r
ea
k
s
d
o
w
n
t
h
e
t
y
p
es
o
f
in
j
ec
tio
n
s
t
h
at
w
er
e
d
is
co
v
er
ed
an
d
p
r
o
v
id
es
a
s
h
o
r
t
d
escr
ip
tio
n
o
f
ea
ch
t
y
p
e.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4752
I
n
d
o
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J
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lec
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g
&
C
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m
p
Sci,
Vo
l.
21
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No
.
2
,
Feb
r
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1124
T
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2
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me
t
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s
1
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1
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I
n
j
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c
t
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o
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–
a
smal
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p
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o
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se
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21
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o
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2
9
4
P
ap
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w
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e
f
u
r
t
h
er
f
ilter
ed
o
u
t
an
d
f
o
llo
w
in
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cl
u
s
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n
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wer
e
m
ad
e
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u
m
b
er
o
f
p
ap
er
s
ex
clu
d
ed
i
n
p
ar
en
th
ese
s
)
:
a)
P
ap
er
s
n
o
t f
o
cu
s
ed
o
n
SQ
L
i
n
j
ec
tio
n
s
(
1
4
2
)
b)
P
ap
er
s
n
o
t p
r
o
v
id
in
g
d
e
f
en
s
e/
d
etec
tio
n
tech
n
iq
u
e
(
1
4
)
c)
P
ap
er
s
n
o
t p
r
o
v
id
in
g
e
x
p
er
i
m
en
tal
v
a
lid
atio
n
(
2
4
)
d)
P
ap
er
s
b
ased
o
n
s
u
m
m
ar
ies o
f
ex
is
ti
n
g
liter
at
u
r
e
(
2
5
)
e)
E
x
clu
s
io
n
m
ad
e
af
ter
r
ea
d
in
g
a
p
ap
er
in
d
etail
(
1
8
)
f)
Si
m
i
lar
s
tu
d
ie
s
b
y
t
h
e
s
a
m
e
au
th
o
r
s
in
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f
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er
en
t j
o
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r
n
als o
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co
n
f
er
en
ce
s
(
1
0
)
T
h
e
f
lo
w
c
h
ar
t,
g
i
v
e
n
in
F
ig
u
r
e
2
,
h
elp
s
to
u
n
d
er
s
ta
n
d
h
o
w
e
v
er
y
s
elec
ted
s
t
u
d
y
w
as a
n
al
y
ze
d
.
Fig
u
r
e
2
.
T
h
e
p
r
o
ce
s
s
f
o
r
an
al
y
zin
g
s
e
lecte
d
s
tu
d
ie
s
4.
SYNT
H
E
S
I
S/ R
E
SU
L
T
S
I
n
th
i
s
s
ec
tio
n
,
th
e
f
in
d
i
n
g
s
o
f
o
u
r
s
u
r
v
e
y
ar
e
d
is
c
u
s
s
ed
,
an
d
th
e
d
ata
is
p
r
esen
ted
.
Sectio
n
4
.
1
d
is
cu
s
s
es
t
h
e
ca
teg
o
r
izatio
n
o
f
liter
atu
r
e
w
h
er
ea
s
s
ec
ti
o
n
4
.
2
d
is
cu
s
s
es
t
h
e
w
ea
k
n
ess
es
a
n
d
s
tr
en
g
t
h
s
id
en
ti
f
ied
in
t
h
e
ex
i
s
ti
n
g
l
iter
atu
r
e.
4
.
1
.
Ca
t
eg
o
riz
a
t
io
n o
f
s
elec
t
ed
lite
ra
t
ure
C
lu
s
ter
i
n
g
t
h
e
p
ap
er
s
b
ased
o
n
th
e
ap
p
r
o
ac
h
u
s
ed
to
co
u
n
ter
SQ
L
in
j
ec
tio
n
attac
k
s
r
esu
lted
i
n
ca
teg
o
r
ies
th
a
t
ar
e
s
h
o
w
n
i
n
T
ab
le
3
.
T
h
e
tab
le
is
d
iv
id
ed
in
to
th
r
ee
co
lu
m
n
s
.
T
h
e
f
ir
s
t
co
lu
m
n
p
r
o
v
id
es
th
e
n
a
m
e
o
f
th
e
tec
h
n
iq
u
e,
t
h
e
s
e
co
n
d
co
lu
m
n
d
escr
ib
es
th
e
te
ch
n
iq
u
e,
th
e
n
ex
t
co
lu
m
n
co
n
tain
s
t
h
e
citatio
n
s
,
an
d
th
e
las
t c
o
lu
m
n
s
p
ec
if
ie
s
t
h
e
p
er
ce
n
tag
e
o
f
s
t
u
d
ies
f
o
cu
s
ed
o
n
th
e
tech
n
iq
u
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
S
QL in
jectio
n
a
tta
ck
s
co
u
n
termea
s
u
r
es a
s
s
e
s
s
men
ts
(
Ma
md
o
u
h
A
len
ezi)
1125
T
h
e
f
in
d
in
g
s
f
r
o
m
o
u
r
liter
atu
r
e
s
u
r
v
e
y
h
av
e
b
ee
n
s
u
m
m
ar
ized
in
T
ab
le
4
.
T
h
e
“
Na
m
e
o
f
T
ec
h
n
i
q
u
e”
h
ea
d
er
d
escr
ib
es
th
e
n
a
m
e
o
f
th
e
tec
h
n
iq
u
e
f
o
r
n
a
m
ed
tech
n
iq
u
e
s
o
r
a
s
h
o
r
t
d
escr
ip
tio
n
o
f
th
e
tech
n
iq
u
e
f
o
r
u
n
n
a
m
ed
tech
n
i
q
u
es.
T
h
e
“
T
y
p
e”
h
ea
d
er
d
if
f
er
en
tiates
b
et
w
ee
n
s
tatic
o
r
r
u
n
t
i
m
e
tech
n
iq
u
e
s
;
th
e
s
tatic
tech
n
iq
u
e
is
o
n
e
ap
p
lied
b
ef
o
r
e
th
e
s
y
s
te
m
is
p
u
t
in
to
ex
ec
u
tio
n
m
o
d
e
e.
g
.
,
s
tat
ic
an
al
y
s
is
o
f
co
d
e,
an
al
y
s
is
o
f
r
ec
o
r
d
ed
n
et
w
o
r
k
tr
af
f
ic
o
r
m
i
n
i
n
g
lo
g
s
,
etc.
,
w
h
er
ea
s
th
e
r
u
n
ti
m
e
tech
n
iq
u
es
ar
e
ap
p
lied
w
h
ile
th
e
s
y
s
te
m
i
s
in
e
x
ec
u
tio
n
m
o
d
e,
e.
g
.
,
co
m
p
ar
in
g
ea
ch
q
u
er
y
at
r
u
n
ti
m
e
w
it
h
a
s
et
o
f
p
r
e
d
eter
m
i
n
ed
leg
i
t
q
u
er
ies an
d
b
lo
ck
all
u
n
a
u
t
h
o
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ized
o
n
es.
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h
e
n
ex
t
t
w
o
co
l
u
m
n
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s
h
o
r
t
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[
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ab
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8
.
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[
4
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4
4
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4
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5
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[
5
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[
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[
6
1
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mat
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d
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f
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t
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me
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u
n
g
r
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T
ab
le
9
.
Hy
b
r
id
a
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t
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es o
n
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m
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b
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se
d
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t
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[
2
5
]
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ss rat
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-
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mi
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[
3
6
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(
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f
S
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I
A
s [
3
7
]
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Q
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A
s [
3
8
]
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c
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f
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o
d
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c
t
S
Q
L
I
A
s [
3
9
]
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-
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f
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t
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[
4
5
]
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m
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lar
l
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f
a
w
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ap
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licatio
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a
s
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tech
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ap
p
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tec
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n
iq
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es a
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e
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te
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p
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m
d
ep
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en
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t
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w
o
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k
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ll
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u
d
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a
n
e
w
ap
p
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h
to
co
u
n
ter
t
h
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SQL
in
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ttack
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ad
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itio
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,
f
u
r
th
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t
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y
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ex
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s
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g
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p
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o
ac
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is
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ee
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at
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x
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m
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d
i
f
f
er
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t
asp
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f
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h
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tech
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iq
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e.
g
.
,
d
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r
ate,
o
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,
an
d
f
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p
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s
iti
v
e
r
ate,
etc.
)
.
E
f
f
o
r
ts
m
u
s
t
also
b
e
p
lace
d
o
n
d
e
v
elo
p
in
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g
e
n
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th
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ass
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s
m
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th
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ap
p
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h
es.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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d
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esia
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J
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&
C
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p
Sci
I
SS
N:
2502
-
4752
S
QL in
jectio
n
a
tta
ck
s
co
u
n
termea
s
u
r
es a
s
s
e
s
s
men
ts
(
Ma
md
o
u
h
A
len
ezi)
1129
RE
F
E
R
E
NC
E
S
[1
]
OW
AS
P
to
p
ten
se
c
u
rity v
u
ln
e
ra
b
il
it
ies
,
A
p
r.
2
0
1
3
.
[
O
n
li
n
e
]
.
A
v
a
il
a
b
le:
h
tt
p
:/
/
w
ww
.
o
w
a
sp
.
o
rg
/
in
d
e
x
.
p
h
p
/T
o
p
_
1
0
.
[2
]
Na
ti
o
n
a
l
Vu
ln
e
ra
b
il
it
y
Da
ta
b
a
se
,
2
0
1
3
.
[
O
n
li
n
e
].
A
v
a
il
a
b
le:
h
tt
p
:/
/
n
v
d
.
n
ist
.
g
o
v
.
[3
]
S
QL
i
n
jec
ti
o
n
s
,
A
p
r.
2
0
1
3
.
[
On
li
n
e
]
.
A
v
a
il
a
b
le:
h
tt
p
:/
/en
.
w
ik
ip
e
d
ia.
o
rg
/w
ik
i/
S
Q
L
_
in
jec
ti
o
n
.
[4
]
K.
Na
tara
jan
a
n
d
S
.
S
u
b
ra
m
a
n
i,
“
Ge
n
e
ra
ti
o
n
o
f
S
q
l
-
i
n
jec
ti
o
n
F
re
e
S
e
c
u
re
A
lg
o
rit
h
m
to
De
tec
t
a
n
d
P
re
v
e
n
t
S
QL
-
In
j
e
c
ti
o
n
A
tt
a
c
k
s,
”
i
n
Pro
c
e
d
ia
T
e
c
h
n
o
l
o
g
y
,
v
o
l
.
4
,
p
p
.
7
9
0
–
7
9
6
,
2
0
1
2
.
[5
]
R.
S
h
a
n
,
“
L
u
lzSec
Ha
c
k
e
r
A
rre
ste
d
,
G
ro
u
p
L
e
a
k
s
S
o
n
y
Da
tab
a
s
e
,
”
T
h
e
Ep
o
c
h
T
ime
s,
h
tt
p
:
//
ww
w
.
th
e
e
p
o
c
h
ti
m
e
s.co
m
/n
2
/t
e
c
h
n
o
lo
g
y
/l
u
lzs
e
c
-
m
e
m
b
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r
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rr
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ste
d
-
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ro
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p
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so
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d
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tab
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se
-
5
7
2
9
6
.
h
tm
l
,
acc
e
s
se
d
9
,
2
0
1
3
.
[6
]
S
.
T
a
m
a
d
a
,
“
Ha
c
k
y
o
u
r
O
w
n
W
e
b
P
ro
jec
t?
S
QL
In
jec
ti
o
n
,
”
9
L
e
ss
o
n
s,
h
tt
p
:/
/w
ww
.
9
les
so
n
s.in
f
o
/2
0
0
8
/
1
2
/s
q
l
-
in
jec
ti
o
n
.
h
tm
l
,
a
c
c
e
ss
e
d
2
0
1
3
.
[7
]
M
.
Aw
a
d
,
M
.
A
li
,
M
.
T
a
k
ru
ri,
a
n
d
S
.
Ism
a
il
,
“
S
e
c
u
rit
y
v
u
ln
e
ra
b
il
it
ies
re
late
d
to
w
e
b
-
b
a
se
d
d
a
t
a,
”
i
n
T
EL
KOM
NIKA
T
e
lec
o
mm
u
n
ic
a
ti
o
n
C
o
mp
u
ti
n
g
El
e
c
tro
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ics
a
n
d
Co
n
tro
l
,
v
o
l
.
1
7
,
n
o
.
2
,
p
p
.
8
5
2
-
8
5
6
,
2
0
1
9
.
[8
]
J.
P
o
l
p
o
n
g
a
n
d
P
.
W
u
tt
id
it
tac
h
o
t
ti
,
“
A
u
th
e
n
ti
c
a
ti
o
n
a
n
d
p
a
ss
w
o
rd
sto
rin
g
im
p
ro
v
e
m
e
n
t
u
sin
g
S
X
R
a
l
g
o
rit
h
m
w
it
h
a
h
a
sh
f
u
n
c
ti
o
n
,
”
in
I
n
ter
n
a
t
io
n
a
l
J
o
u
r
n
a
l
o
f
El
e
c
trica
l
a
n
d
Co
mp
u
ter
En
g
i
n
e
e
rin
g
(
IJ
ECE
)
,
v
o
l.
1
0
,
n
o
.
6
,
p
p
.
6
5
8
2
-
6
5
9
1
,
2
0
2
0
.
[9
]
R.
M
u
z
z
a
m
m
e
l,
R.
A
rsh
a
d
,
S
.
M
e
h
m
o
o
d
,
a
n
d
D.
K
h
a
n
,
“
Ad
v
a
n
c
e
d
e
n
e
rg
y
m
a
n
a
g
e
m
e
n
t
sy
ste
m
w
it
h
th
e
in
c
o
rp
o
ra
t
io
n
o
f
n
o
v
e
l
se
c
u
rit
y
f
e
a
tu
re
s,
”
i
n
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
E
lec
trica
l
a
n
d
Co
m
p
u
t
e
r
En
g
i
n
e
e
rin
g
(
IJ
ECE
)
,
v
o
l.
1
0
,
n
o
.
4
,
p
p
.
3
9
7
8
-
3
9
8
7
,
2
0
2
0
.
[1
0
]
K.
W
e
i,
M
.
M
u
th
u
p
ra
sa
n
n
a
,
a
n
d
S
.
Ko
t
h
a
ri,
“
P
re
v
e
n
ti
n
g
S
QL
In
jec
ti
o
n
A
tt
a
c
k
s
in
S
to
re
d
P
r
o
c
e
d
u
re
s
,”
Pro
c
.
o
f
t
h
e
IEE
E
S
o
ft
w
a
re
En
g
in
e
e
rin
g
Co
n
f
e
re
n
c
e
,
A
u
stra
li
a
n
,
p
.
8
,
2
0
0
6
.
[1
1
]
X
.
F
u
,
X
.
L
u
,
B
.
P
e
lt
sv
e
rg
e
r,
S
.
Ch
e
n
,
K
.
Qia
n
,
a
n
d
L
.
T
a
o
,
“
A
S
tatic
A
n
a
l
y
sis
F
ra
m
e
w
o
rk
F
o
r
De
tec
ti
n
g
S
QL
In
jec
ti
o
n
V
u
ln
e
ra
b
il
i
ti
e
s,
”
Pro
c
.
o
f
th
e
3
1
st
In
ter
n
a
ti
o
n
a
l
Co
n
f.
o
n
Co
mp
u
ter
S
o
ft
w
a
re
a
n
d
Ap
p
li
c
a
ti
o
n
s
,
COM
PS
AC’0
7
,
2
0
0
7
,
p
p
.
8
7
-
9
6
.
[1
2
]
R.
A
.
M
c
Clu
re
a
n
d
I.
H.
Kru
g
e
r,
“
S
QL
DO
M
:
c
o
m
p
il
e
ti
m
e
c
h
e
c
k
in
g
o
f
d
y
n
a
m
ic
S
Q
L
sta
te
m
e
n
ts
,
”
Pro
c
.
o
f
th
e
2
7
t
h
In
ter
n
a
ti
o
n
a
l
C
o
n
fer
e
n
c
e
o
n
S
o
f
twa
re
En
g
i
n
e
e
rin
g
,
ICS
E’
0
5
,
p
p
.
8
8
-
96
,
2
0
0
5
,
.
[1
3
]
S
.
T
h
o
m
a
s,
L
.
W
il
li
a
m
s,
a
n
d
T
.
X
ie,
“
On
A
u
to
m
a
ted
P
re
p
a
re
d
S
tate
m
e
n
t
G
e
n
e
ra
ti
o
n
to
Re
m
o
v
e
S
QL
In
jec
ti
o
n
V
u
l
n
e
ra
b
il
i
ti
e
s,”
i
n
I
n
f
o
rm
a
ti
o
n
a
n
d
S
o
f
twa
re
T
e
c
h
n
o
l
o
g
y
,
v
o
l.
5
1
,
n
o
.
3
,
p
p
.
5
8
9
-
5
9
8
,
2
0
0
9
.
[1
4
]
F
.
D
y
sa
rt
a
n
d
M
.
S
h
e
rrif
f
,
“
A
u
to
m
a
ted
F
ix
Ge
n
e
ra
to
r
f
o
r
S
Q
L
In
jec
ti
o
n
A
tt
a
c
k
s
,
”
Pro
c
.
o
f
th
e
1
9
th
In
ter
n
a
t
io
n
a
l
S
y
mp
o
si
u
m o
n
S
o
ft
w
a
re
Relia
b
il
it
y
En
g
i
n
e
e
rin
g
,
2
0
0
8
,
p
p
.
3
1
1
-
3
1
2
.
[1
5
]
S.
W
.
Bo
y
d
a
n
d
A
.
D.
Ke
ro
m
y
ti
s,
“
S
QL
ra
n
d
:
P
re
v
e
n
ti
n
g
S
QL
In
jec
ti
o
n
A
tt
a
c
k
s,”
i
n
Ap
p
li
e
d
Cry
p
to
g
ra
p
h
y
a
n
d
Ne
two
rk
S
e
c
u
rity
,
p
p
.
2
9
2
-
3
0
2
,
2
0
0
4
.
[1
6
]
S
.
A
v
ired
d
y
e
t
e
t
a
l
.
,
“
Ra
n
d
o
m
4
:
A
n
A
p
p
li
c
a
ti
o
n
S
p
e
c
if
ic
Ra
n
d
o
m
ize
d
En
c
ry
p
ti
o
n
A
lg
o
rit
h
m
to
p
re
v
e
n
t
S
QL
in
jec
ti
o
n
,
”
Pro
c
.
o
f
t
h
e
1
1
t
h
I
n
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
T
r
u
st,
S
e
c
u
rity
a
n
d
Priva
c
y
in
Co
mp
u
t
in
g
a
n
d
Co
mm
u
n
ica
ti
o
n
s (
T
ru
stCo
m)
,
p
p
.
1
3
2
7
-
1
3
3
3
,
2
0
1
2
,
.
[1
7
]
R.
Ha
ld
e
r
a
n
d
A
.
Co
rtes
i,
“
Ob
f
u
sc
a
ti
o
n
-
b
a
se
d
a
n
a
ly
sis
o
f
S
Q
L
in
je
c
ti
o
n
a
tt
a
c
k
s,
”
Pro
c
.
o
f
th
e
IEE
E
S
y
mp
o
si
u
m
o
n
Co
mp
u
ter
s
a
n
d
Co
mm
u
n
ica
t
io
n
s
(
IS
CC’1
0
)
,
pp.
9
3
1
-
9
3
8
,
2
0
1
0
.
[1
8
]
R.
Ezu
m
a
lai
a
n
d
G
.
Ag
h
il
a
,
“
Co
m
b
in
a
to
rial
A
p
p
ro
a
c
h
f
o
r
P
r
e
v
e
n
ti
n
g
S
QL
In
jec
ti
o
n
A
tt
a
c
k
s
,
”
Pro
c
.
o
f
th
e
In
ter
n
a
t
io
n
a
l
Ad
v
a
n
c
e
Co
mp
u
ti
n
g
Co
n
fer
e
n
c
e
(
IACC
‘0
9
),
IE
EE
Co
mp
u
ter
S
o
c
iety
,
pp.
1
2
1
2
-
1
2
1
7
,
2
0
0
9
.
[1
9
]
G
.
Jia
o
,
C.
M
.
X
u
,
a
n
d
J.
M
a
o
h
u
a
,
“
S
QL
IM
W
:
A
Ne
w
M
e
c
h
a
n
ism
a
g
a
in
st
S
QL
-
in
jec
ti
o
n
,
”
Pro
c
.
o
f
th
e
In
ter
n
a
t
io
n
a
l
C
o
n
fer
e
n
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o
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C
o
mp
u
ter
S
c
ien
c
e
&
S
e
rv
ic
e
S
y
ste
m (CS
S
S
2
0
1
2
)
,
pp.
1
1
7
8
-
1
1
8
0
,
2
0
1
2
.
[2
0
]
X
.
W
u
a
n
d
P
.
Ch
a
n
,
“
S
QL
in
jec
ti
o
n
a
tt
a
c
k
s
d
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tec
ti
o
n
in
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d
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rs
a
rial
e
n
v
iro
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m
e
n
ts
b
y
K
-
c
e
n
ters
,
”
Pr
o
c
.
o
f
t
h
e
2
0
1
2
In
ter
n
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t
io
n
a
l
C
o
n
fer
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n
c
e
o
n
M
a
c
h
in
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L
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rn
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n
g
a
n
d
Cy
b
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rn
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ti
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s
,
p
p
.
4
0
6
-
4
1
0
,
2
0
1
2
.
[2
1
]
F
.
V
a
leu
r,
D.
M
u
tz,
a
n
d
G
.
V
ig
n
a
,
“
A
L
e
a
rn
in
g
-
Ba
s
e
d
A
p
p
ro
a
c
h
to
t
h
e
De
tec
ti
o
n
o
f
S
QL
A
tt
a
c
k
s
,
”
Pro
c
.
o
f
th
e
Co
n
fer
e
n
c
e
o
n
De
tec
ti
o
n
o
f
I
n
tru
sio
n
s
a
n
d
M
a
lwa
re
V
u
l
n
e
ra
b
il
it
y
Asse
ss
me
n
t
(
DIM
VA
)
,
Vi
e
n
n
a
,
A
u
stria,
2
0
0
5
.
[2
2
]
G
.
Bu
e
h
re
r,
B.
W
.
W
e
id
e
,
a
n
d
P
.
A.
G
.
S
iv
il
o
tt
i,
“
Us
in
g
P
a
rse
T
re
e
V
a
li
d
a
ti
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n
t
o
P
re
v
e
n
t
S
QL
In
jec
ti
o
n
A
tt
a
c
k
s
,
”
Pro
c
.
o
f
t
h
e
5
th
ACM
in
ter
n
a
t
io
n
a
l
wo
rk
sh
o
p
o
n
S
o
ft
w
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re
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n
g
i
n
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g
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n
d
mi
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d
lewa
re
,
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isb
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n
,
P
o
rt
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g
a
l,
p
p
.
1
-
8
,
20
05
.
[2
3
]
W.
G
.
Ha
l
f
o
n
d
a
n
d
A
.
Ors
o
,
“
Co
m
b
in
in
g
S
tatic
A
n
a
l
y
sis
a
n
d
Ru
n
ti
m
e
M
o
n
it
o
rin
g
to
Co
u
n
ter
S
QL
in
jec
ti
o
n
a
tt
a
c
k
s,”
i
n
ACM
S
IGS
OFT
S
o
f
twa
re
En
g
in
e
e
rin
g
No
tes
,
v
o
l.
3
0
,
n
o
.
4
,
p
p
.
1
-
7
,
2
0
0
5
.
[2
4
]
J.
M
in
h
a
s
a
n
d
R.
Ku
m
a
r,
“
Blo
c
k
in
g
o
f
S
QL
In
jec
ti
o
n
A
tt
a
c
k
s
b
y
Co
m
p
a
rin
g
S
tatic
a
n
d
Dy
n
a
m
ic
Qu
e
ries
,
”
i
n
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
C
o
mp
u
ter
Ne
two
rk
a
n
d
In
fo
rm
a
t
io
n
S
e
c
u
ri
ty
,
2
0
1
3
.
[2
5
]
I.
Ba
las
u
n
d
a
ra
m
a
n
d
E.
Ra
m
a
ra
j,
“
A
n
Eff
ici
e
n
t
T
e
c
h
n
iq
u
e
f
o
r
De
tec
ti
o
n
a
n
d
P
re
v
e
n
ti
o
n
o
f
S
QL
I
n
jec
ti
o
n
A
tt
a
c
k
u
sin
g
A
S
CII
Ba
se
d
S
tri
n
g
M
a
tch
i
n
g
,
”
i
n
Pr
o
c
e
d
ia
En
g
in
e
e
rin
g
,
v
o
l
.
3
0
,
p
p
.
1
8
3
-
1
9
0
,
2
0
1
2
.
[2
6
]
I.
L
e
e
,
S
.
Je
o
n
g
,
S
.
Ye
o
,
a
n
d
J.
M
o
o
n
,
“
A
No
v
e
l
M
e
th
o
d
f
o
r
S
Q
L
In
jec
ti
o
n
A
tt
a
c
k
De
t
e
c
ti
o
n
Ba
se
d
o
n
Re
m
o
v
in
g
S
QL
Qu
e
r
y
A
tt
rib
u
te
V
a
lu
e
s
,
”
i
n
M
a
th
e
ma
ti
c
a
l
a
n
d
C
o
mp
u
ter
M
o
d
e
li
n
g
,
v
o
l.
5
5
,
n
o
.
1
,
p
p
.
5
8
-
68
,
2
0
1
2
.
[2
7
]
P
.
Bish
t
,
P
.
M
a
d
h
u
su
d
a
n
,
a
n
d
V
.
N.
V
e
n
k
a
tak
rish
n
a
n
.
,
“
CA
ND
ID:
D
y
n
a
m
ic
Ca
n
d
id
a
te
Ev
a
lu
a
ti
o
n
s
f
o
r
A
u
to
m
a
ti
c
P
re
v
e
n
ti
o
n
o
f
S
QL
In
jec
ti
o
n
A
tt
a
c
k
s,
”
i
n
ACM
T
ra
n
sa
c
ti
o
n
s o
n
In
f
o
rm
a
ti
o
n
a
n
d
S
y
ste
m S
e
c
u
rity (
T
IS
S
EC)
,
v
o
l.
1
3
,
n
o
.
2
,
p
.
1
4
,
2
0
1
0
.
[2
8
]
R.
M
u
i
a
n
d
P
.
F
ra
n
k
l,
“
P
re
v
e
n
ti
n
g
S
QL
In
jec
ti
o
n
th
ro
u
g
h
A
u
to
m
a
ti
c
Qu
e
r
y
S
a
n
it
iza
ti
o
n
w
it
h
ASS
IS
T
,
”
i
n
T
AV
-
W
EB
(
EP
T
CS
)
,
v
o
l.
3
5
,
p
p
.
2
7
-
3
8
,
2
0
1
0
.
[2
9
]
Y.
C.
Ch
u
n
g
e
t
a
l
.,
“
A
Ho
t
Qu
e
r
y
Ba
n
k
A
p
p
ro
a
c
h
to
Im
p
ro
v
e
De
tec
ti
o
n
P
e
rf
o
rm
a
n
c
e
a
g
a
in
st
S
QL
In
jec
ti
o
n
A
tt
a
c
k
s,
”
i
n
Co
mp
u
ter
s
a
n
d
S
e
c
u
rity
,
v
o
l.
31
,
n
o
.
2
,
p
p
.
2
3
3
-
2
4
8
,
2
0
1
2
.
[
3
0
]
M
.
W
a
n
a
n
d
K
.
L
i
u
,
“
A
n
I
m
p
r
o
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d
E
l
i
m
i
n
a
t
i
n
g
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Q
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I
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j
e
c
t
i
o
n
A
t
t
a
c
k
s
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a
s
e
d
R
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g
u
l
a
r
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x
p
r
e
s
s
i
o
n
s
M
a
t
c
h
i
n
g
,
”
P
r
o
c
.
o
f
t
h
e
I
n
t
e
r
n
a
t
i
o
n
a
l
C
o
n
f
e
r
e
n
c
e
o
n
C
o
n
t
r
o
l
E
n
g
i
n
e
e
r
i
n
g
a
n
d
C
o
m
m
u
n
i
c
a
t
i
o
n
T
e
c
h
n
o
l
o
g
y
(
I
C
C
E
C
T
’
1
2
)
,
2
0
1
2
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
:
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5
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4752
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o
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n
J
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n
g
&
C
o
m
p
Sci,
Vo
l.
21
,
No
.
2
,
Feb
r
u
ar
y
2
0
2
1
:
1
1
21
-
11
31
11
30
[3
1
]
M.
S
.
L
a
m
,
M
.
M
a
rti
n
,
B.
L
iv
sh
it
s,
a
n
d
J.
W
h
a
ley
,
“
S
e
c
u
rin
g
W
e
b
A
p
p
li
c
a
ti
o
n
s
w
it
h
S
tatic
a
n
d
Dy
n
a
m
ic
In
f
o
rm
a
ti
o
n
F
l
o
w
T
ra
c
k
in
g
,
”
Pro
c
.
o
f
t
h
e
PE
PM
’0
8
,
S
a
n
F
ra
n
c
isc
o
,
Ca
li
f
o
rn
ia,
Ja
n
.
2
0
0
8
,
p
p
.
3
-
1
2
.
[3
2
]
H.
W
u
a
n
d
G
.
M
iao
,
“
T
e
st S
Q
L
I
n
jec
ti
o
n
V
u
ln
e
ra
b
il
it
ies
in
W
e
b
Ap
p
li
c
a
ti
o
n
s Ba
se
d
o
n
S
tr
u
c
tu
re
M
a
tch
in
g
,
”
Pro
c
.
o
f
t
h
e
IEE
E
I
n
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
C
o
mp
u
ter
S
c
ien
c
e
a
n
d
N
e
two
rk
T
e
c
h
n
o
l
o
g
y
,
De
c
.
2
0
1
1
,
p
p
.
9
3
5
-
9
3
8
.
[3
3
]
M
.
T
.
S
.
M
a
m
a
d
h
a
n
a
n
d
V
.
P
a
u
l,
“
S
QL
S
to
r:
Blo
c
k
a
g
e
o
f
S
to
re
d
P
ro
c
e
d
u
re
S
QL
In
jec
ti
o
n
A
tt
a
c
k
U
sin
g
D
y
n
a
m
ic
Qu
e
ry
S
tru
c
tu
re
V
a
li
d
a
ti
o
n
,
”
Pro
c
.
o
f
th
e
1
2
th
IEE
E
In
ter
n
a
t
io
n
a
l
Co
n
fer
e
n
c
e
o
n
In
telli
g
e
n
t
S
y
ste
ms
De
sig
n
a
n
d
Ap
p
li
c
a
ti
o
n
s
,
2
0
1
2
,
p
p
.
2
4
1
-
2
4
5
.
[3
4
]
R.
Ro
m
il
a
n
d
S
.
S
h
riv
a
sta
v
,
“
S
QL
in
jec
t
io
n
a
tt
a
c
k
D
e
tec
ti
o
n
u
sin
g
S
V
M
,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Co
m
p
u
ter
Ap
p
li
c
a
ti
o
n
s
,
p
p
.
1
-
4
,
M
a
r.
2
0
1
2
.
[3
5
]
M
.
M
u
th
u
p
ra
sa
n
n
a
,
K
.
W
e
i,
a
n
d
S
.
K
o
th
a
ri,
“
E
li
m
in
a
ti
n
g
S
QL
In
jec
ti
o
n
A
tt
a
c
k
s
-
A
T
ra
n
s
p
a
re
n
t
De
f
e
n
se
M
e
c
h
a
n
ism
,
”
Pro
c
.
o
f
t
h
e
Ei
g
h
th
IEE
E
In
ter
n
a
ti
o
n
a
l
S
y
mp
o
si
u
m o
n
W
e
b
S
i
te E
v
o
l
u
ti
o
n
(
W
S
E'0
6
)
,
2
0
0
6
.
[3
6
]
T
.
S
c
h
o
lt
e
,
W
.
Ro
b
e
rtso
n
,
D.
Ba
lza
ro
tt
i,
a
n
d
E.
Kir
d
a
,
“
P
re
v
e
n
ti
n
g
In
p
u
t
V
a
li
d
a
ti
o
n
V
u
ln
e
r
a
b
il
it
ies
in
W
e
b
Ap
p
li
c
a
ti
o
n
s
th
r
o
u
g
h
A
u
to
m
a
ted
Ty
p
e
A
n
a
l
y
sis
,
”
Pro
c
.
o
f
th
e
IE
EE
3
6
t
h
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
Co
mp
u
ter
S
o
ft
w
a
re
a
n
d
A
p
p
li
c
a
ti
o
n
s
,
p
p
.
2
3
3
-
2
4
3
,
2
0
1
2
.
[3
7
]
H.
S
h
a
h
riar
a
n
d
M
.
Z
u
lk
e
rn
in
e
,
“
In
f
o
r
m
a
ti
o
n
-
T
h
e
o
re
ti
c
De
tec
ti
o
n
o
f
S
QL
In
jec
ti
o
n
A
tt
a
c
k
s,
”
Pr
o
c
.
o
f
t
h
e
1
4
t
h
IEE
E
In
ter
n
a
ti
o
n
a
l
S
y
mp
o
si
u
m o
n
Hig
h
-
Assu
ra
n
c
e
S
y
ste
ms
En
g
in
e
e
rin
g
,
p
p
.
4
0
-
47
,
2
0
1
2
.
[3
8
]
W
.
Ha
l
f
o
n
d
,
A
.
Ors
o
,
a
n
d
P
.
M
a
n
o
li
o
s,
“
Us
in
g
p
o
siti
v
e
tain
ti
n
g
a
n
d
sy
n
tax
-
a
w
a
re
e
v
a
lu
a
ti
o
n
to
c
o
u
n
ter
S
QL
in
jec
ti
o
n
a
tt
a
c
k
s,
”
Pro
c
.
o
f
th
e
1
4
th
ACM
S
IGS
OFT
i
n
ter
n
a
ti
o
n
a
l
sy
mp
o
siu
m
o
n
Fo
u
n
d
a
ti
o
n
s
o
f
so
ft
wa
re
e
n
g
in
e
e
rin
g
,
p
p
.
1
7
5
-
1
8
5
,
2
0
0
6
.
[3
9
]
J.
Ki
m
,
“
In
jec
ti
o
n
A
tt
a
c
k
D
e
tec
ti
o
n
u
sin
g
th
e
Re
m
o
v
a
l
o
f
S
Q
L
Qu
e
r
y
A
tt
rib
u
te
V
a
lu
e
s
,
”
Pro
c
.
o
f
th
e
2
0
1
1
In
ter
n
a
t
io
n
a
l
C
o
n
fer
e
n
c
e
o
n
I
n
fo
r
ma
ti
o
n
S
c
ien
c
e
a
n
d
A
p
p
li
c
a
ti
o
n
s
(
ICIS
A)
,
pp.
1
-
7
,
2
0
1
1
.
[4
0
]
K.
Zh
a
n
g
,
C.
L
in
,
S
.
Ch
e
n
,
Y
.
Hw
a
n
g
,
H.
Hu
a
n
g
,
a
n
d
F
.
Hs
u
,
“
T
ra
n
sSQ
L
:
A
T
ra
n
sla
ti
o
n
a
n
d
V
a
li
d
a
ti
o
n
-
b
a
se
d
S
o
l
u
ti
o
n
f
o
r
S
QL
-
In
jec
ti
o
n
A
tt
a
c
k
s
,
”
Pro
c
.
o
f
t
h
e
Fi
rs
t
I
n
ter
n
a
t
io
n
a
l
C
o
n
fer
e
n
c
e
o
n
R
o
b
o
t,
Vi
si
o
n
a
n
d
S
ig
n
a
l
Pro
c
e
ss
in
g
,
p
p
.
2
4
8
-
25
1
,
2
0
1
1
.
[4
1
]
Y.
Ko
su
g
a
,
K.
Ke
rn
e
l,
M
.
Ha
n
a
o
k
a
,
M
.
Hish
iy
a
m
a
,
a
n
d
Yu
T
a
k
a
h
a
m
a
,
“
S
a
n
ia:
S
y
n
tac
ti
c
a
n
d
S
e
m
a
n
ti
c
A
n
a
l
y
sis
f
o
r
A
u
to
m
a
ted
Tes
ti
n
g
a
g
a
in
st
S
QL
In
jec
ti
o
n
,
”
Pro
c
.
o
f
th
e
2
3
rd
a
n
n
u
a
l
c
o
n
fer
e
n
c
e
o
n
Co
mp
u
ter
S
e
c
u
rity
Ap
p
li
c
a
ti
o
n
s,
ACS
AC’
0
7
,
p
p
.
1
0
7
-
11
7
,
2
0
0
7
.
[4
2
]
D.
R.
G
iri
,
S
.
P
.
K
u
m
a
r,
L
.
P
ra
sa
n
n
a
k
u
m
a
r,
a
n
d
R.
N.
V.
V
.
M
u
rt
h
y
,
„
Ob
jec
t
Orie
n
ted
A
p
p
ro
a
c
h
t
o
S
QL
In
jec
ti
o
n
P
re
v
e
n
ter,
”
Pro
c
.
o
f
t
h
e
T
h
ird
I
n
t
e
rn
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
C
o
mp
u
ti
n
g
C
o
mm
u
n
ica
ti
o
n
&
Ne
two
rk
in
g
T
e
c
h
n
o
lo
g
ies
(
ICCCNT
1
2
)
,
p
p
.
1
-
7
,
2
0
1
2
.
[4
3
]
Y.
Ha
ix
ia
a
n
d
N.
Zh
ih
o
n
g
,
“
A
d
a
tab
a
se
se
c
u
rit
y
te
stin
g
sc
h
e
m
e
o
f
w
e
b
a
p
p
li
c
a
ti
o
n
,
”
Pr
o
c
.
o
f
th
e
4
t
h
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
Co
m
p
u
ter
S
c
ie
n
c
e
&
Ed
u
c
a
ti
o
n
,
ICC
S
E
'0
9
,
p
p
.
9
5
3
-
9
5
5
,
2
0
0
9
.
[4
4
]
A
.
K.
S
in
g
h
a
n
d
S
.
Ro
,
“
A
Ne
tw
o
rk
Ba
se
d
V
u
ln
e
ra
b
il
it
y
S
c
a
n
n
e
r
f
o
r
De
tec
ti
n
g
S
Q
L
I
A
tt
a
c
k
s
in
W
e
b
A
p
p
li
c
a
t
io
n
s,
”
Pro
c
.
o
f
t
h
e
1
st
I
n
ter
n
a
ti
o
n
a
l
C
o
n
fer
e
n
c
e
o
n
Rec
e
n
t
Ad
v
a
n
c
e
s
in
In
fo
rm
a
ti
o
n
T
e
c
h
n
o
l
o
g
y
(
RA
IT
2
0
1
2
)
,
2
0
1
2
.
[4
5
]
E.
M
e
rlo
,
D.
L
e
tarte
,
a
n
d
G
.
A
n
to
n
io
l
,
“
A
u
to
m
a
t
e
d
P
r
o
tec
ti
o
n
o
f
P
HP
A
p
p
li
c
a
ti
o
n
s
a
g
a
in
st S
QL
-
in
jec
ti
o
n
A
tt
a
c
k
s,
”
Pro
c
.
o
f
th
e
1
1
t
h
E
u
ro
p
e
a
n
Co
n
fer
e
n
c
e
o
n
S
o
ft
w
a
re
M
a
in
te
n
a
n
c
e
a
n
d
Ree
n
g
in
e
e
rin
g
,
C
S
M
R
'
0
7
,
pp.
1
9
1
-
2
0
2
,
M
a
r
.
2
0
0
7
.
[4
6
]
A
.
Kie
y
z
u
n
,
P
.
J.
G
u
o
,
K.
Ja
y
a
ra
m
a
n
,
a
n
d
M
.
D.
Ern
st,
“
A
u
to
m
a
ti
c
c
re
a
ti
o
n
o
f
S
QL
In
jec
ti
o
n
a
n
d
c
r
o
ss
-
site
sc
rip
ti
n
g
a
tt
a
c
k
s,
”
Pr
o
c
.
o
f
th
e
IE
EE
3
1
st
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
S
o
ft
w
a
re
En
g
in
e
e
rin
g
,
ICS
E
2
0
0
9
,
p
p
.
1
9
9
-
209
,
2
0
0
9
.
[4
7
]
L.
K.
S
h
a
r
a
n
d
H.
B.
K.
T
a
n
,
“
M
in
i
n
g
In
p
u
t
S
a
n
it
iza
ti
o
n
P
a
tt
e
r
n
s
f
o
r
P
re
d
ictin
g
S
QL
In
jec
ti
o
n
a
n
d
Cro
ss
S
i
te
S
c
rip
ti
n
g
Vu
ln
e
ra
b
il
it
ies
,
”
Pro
c
.
o
f
t
h
e
In
ter
n
a
ti
o
n
c
o
n
fer
e
n
c
e
o
n
S
o
f
twa
re
En
g
i
n
e
e
rin
g
,
IC
S
E
2
0
1
2
,
Zu
ric
h
,
S
w
it
z
e
rlan
d
,
p
p
.
1
2
9
3
-
1
2
9
6
,
2
0
1
2
.
[4
8
]
A
.
Cia
m
p
a
,
C.
A
.
V
isa
g
g
io
,
a
n
d
M
.
D.
P
e
n
ta,
“
A
h
e
u
risti
c
-
b
a
se
d
a
p
p
ro
a
c
h
f
o
r
d
e
tec
ti
n
g
S
QL
-
in
jec
ti
o
n
v
u
ln
e
ra
b
il
it
ies
i
n
W
e
b
a
p
p
li
c
a
ti
o
n
s
,
”
Pro
c
.
o
f
th
e
S
ES
S
’1
0
,
Ca
p
e
T
o
w
n
,
S
o
u
t
h
A
f
ric
a
,
p
p
.
4
3
-
49
,
2
0
1
0
.
[4
9
]
B.
S
m
it
h
,
L
.
W
il
li
a
m
s
,
a
n
d
A
.
A
u
stin
,
“
I
d
e
a
:
Us
in
g
S
y
ste
m
Lev
e
l
T
e
stin
g
f
o
r
Re
v
e
a
li
n
g
S
QL
In
jec
ti
o
n
-
re
late
d
E
rro
r
M
e
ss
a
g
e
In
f
o
rm
a
ti
o
n
L
e
a
k
s,
”
i
n
En
g
i
n
e
e
rin
g
S
e
c
u
re
S
o
ft
wa
re
a
n
d
S
y
ste
ms
,
p
p
.
1
9
2
-
2
00
,
2
0
1
0
.
[5
0
]
Y
.
S
h
in
,
L
.
W
il
li
a
m
s,
a
n
d
T
.
X
ie,
“
S
QL
Un
it
G
e
n
:
S
q
l
In
jec
ti
o
n
T
e
s
ti
n
g
u
si
n
g
S
tatic
a
n
d
Dy
n
a
m
ic
A
n
a
ly
sis,
”
Pro
c
.
o
f
t
h
e
1
7
th
I
EE
E
I
n
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
S
o
f
twa
re
Reli
a
b
il
it
y
En
g
i
n
e
e
rin
g
(
IS
S
RE
’0
6
)
,
2
0
0
6
.
[
5
1
]
W
.
G
.
H
a
l
f
o
n
d
a
n
d
A
.
O
r
s
o
,
“
A
M
N
E
S
I
A
:
A
n
a
l
y
s
i
s
a
n
d
M
o
n
i
t
o
r
i
n
g
f
o
r
N
E
u
t
r
a
l
i
z
i
n
g
S
Q
L
-
I
n
j
e
c
t
i
o
n
A
t
t
a
c
k
s
,
”
P
r
o
c
.
o
f
t
h
e
I
E
E
E
a
n
d
A
C
M
I
n
t
e
r
n
a
t
i
o
n
a
l
C
o
n
f
e
r
e
n
c
e
o
n
A
u
t
o
m
a
t
e
d
S
o
f
t
w
a
r
e
E
n
g
i
n
e
e
r
i
n
g
(
A
S
E
2
0
0
5
)
,
L
o
n
g
B
e
a
c
h
,
C
A
,
2005.
[5
2
]
X
.
W
a
n
g
,
L
.
Wan
g
,
G
.
W
e
i
,
D.
Z
h
a
n
g
,
a
n
d
Y.
Ya
n
g
,
“
Hid
d
e
n
w
e
b
c
ra
w
li
n
g
f
o
r
S
Q
L
in
jec
ti
o
n
d
e
tec
ti
o
n
,
”
Pro
c
.
o
f
th
e
3
rd
IE
EE
In
ter
n
a
ti
o
n
a
l
Co
n
fe
re
n
c
e
o
n
Bro
a
d
b
a
n
d
Ne
two
rk
a
n
d
M
u
lt
ime
d
ia
T
e
c
h
n
o
lo
g
y
(
IC
-
BN
M
T
’1
0
)
,
pp.
14
-
18
,
2
0
1
0
.
[5
3
]
W
.
T
i
a
n
,
J.
X
u
,
K.
L
ian
,
Y.
Zh
a
n
g
,
J.
Ya
n
g
,
“
Re
se
a
rc
h
o
n
m
o
c
k
a
tt
a
c
k
tes
ti
n
g
f
o
r
S
QL
in
jec
ti
o
n
v
u
ln
e
ra
b
il
it
y
in
m
u
lt
i
-
d
e
f
e
n
se
l
e
v
e
l
we
b
a
p
p
li
c
a
ti
o
n
s,
”
Pro
c
.
o
f
th
e
2
n
d
I
n
ter
n
a
t
io
n
a
l
Co
n
fer
e
n
c
e
o
n
In
f
o
rm
a
ti
o
n
S
c
ien
c
e
a
n
d
En
g
i
n
e
e
rin
g
(
ICIS
E’
1
0
)
,
p
p
.
1
-
5
,
2
0
1
0
.
[5
4
]
N.
A
n
tu
n
e
s
a
n
d
M
.
V
ieira
,
“
De
tec
ti
n
g
S
QL
In
jec
ti
o
n
Vu
ln
e
ra
b
i
li
ti
e
s
in
W
e
b
S
e
rv
ic
e
s
,
”
Pro
c
.
o
f
th
e
Fo
u
rth
L
a
ti
n
-
Ame
ric
a
n
S
y
mp
o
siu
m
o
n
De
p
e
n
d
a
b
le C
o
mp
u
ti
n
g
,
p
p
.
1
7
-
24
,
2
0
0
9
.
[5
5
]
N.
L
a
ra
n
jei
ro
,
M
.
V
ieira
,
a
n
d
H
.
M
a
d
e
ira,
“
A
L
e
a
rn
in
g
-
Ba
se
d
A
p
p
ro
a
c
h
to
S
e
c
u
re
W
e
b
S
e
rv
ice
s
f
r
o
m
S
QL
/X
P
a
t
h
In
jec
ti
o
n
A
tt
a
c
k
s,
”
Pro
c
.
o
f
t
h
e
1
6
th
IE
EE
P
a
c
if
ic R
im
I
n
ter
n
a
t
io
n
a
l
S
y
mp
o
siu
m
o
n
De
p
e
n
d
a
b
le C
o
mp
u
ti
n
g
(
PR
DC
10)
,
p
p
.
191
-
1
9
8
,
20
10
.
[5
6
]
N.
L
a
r
a
n
jeiro
,
M
.
V
ieira
,
a
n
d
H.
M
a
d
e
ira.,
“
P
ro
tec
ti
n
g
Da
tab
a
se
Ce
n
tri
c
W
e
b
S
e
r
v
ice
s
a
g
a
i
n
st
S
QL
/XP
a
t
h
In
jec
ti
o
n
A
tt
a
c
k
s,
”
Da
ta
b
a
se
a
n
d
Exp
e
rt S
y
ste
ms
Ap
p
l
ica
ti
o
n
s
,
2
0
0
9
.
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