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[
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[
2
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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d
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J
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g
&
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p
Sci
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N:
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To
w
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s
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co
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)
319
Ap
p
licatio
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o
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in
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[
3
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[
5
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as
s
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in
Fig
u
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e
1
.
Dep
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,
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ltime
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r
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ile
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6
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ity
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On
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e
m
ain
r
is
k
s
is
th
e
p
o
s
s
ib
ilit
y
o
f
u
n
au
th
o
r
ize
d
a
cc
ess
to
th
e
W
S
N
s
y
s
tem
[
8
]
.
I
n
ad
d
itio
n
,
W
SN
ca
n
b
e
th
e
tar
g
et
o
f
a
d
en
ial
-
of
-
s
er
v
ice
(
Do
S)
attac
k
[
5
]
.
Attack
er
s
ca
n
o
v
er
lo
a
d
th
e
n
etwo
r
k
with
a
lar
g
e
n
u
m
b
er
o
f
r
eq
u
ests
o
r
cr
ea
te
a
b
o
tn
et
to
attac
k
th
e
s
y
s
tem
.
T
h
is
ca
n
lead
to
n
etwo
r
k
r
eso
u
r
ce
o
v
er
lo
a
d
,
Do
S
an
d
d
is
r
u
p
tio
n
o
f
f
ac
ilit
ies.
T
o
p
r
o
tect
W
SN
f
r
o
m
s
u
ch
t
h
r
e
ats,
W
SN
s
ec
u
r
ity
m
ea
s
u
r
es
s
h
o
u
ld
b
e
im
p
lem
e
n
ted
.
T
h
is
m
ay
in
clu
d
e
e
n
cr
y
p
tin
g
d
ata
tr
an
s
m
itted
,
in
s
tallin
g
au
th
en
ticatio
n
an
d
ac
ce
s
s
co
n
tr
o
l
m
ec
h
an
is
m
s
,
a
n
d
m
o
n
ito
r
in
g
t
h
e
n
etwo
r
k
f
o
r
an
o
m
a
lies
.
I
n
ad
d
itio
n
,
r
eg
u
l
ar
s
o
f
twar
e
u
p
d
ates
an
d
tr
ain
in
g
o
f
p
er
s
o
n
n
el
o
n
W
SN
s
ec
u
r
ity
m
ea
s
u
r
es
ar
e
also
im
p
o
r
tan
t
asp
ec
ts
[
9
]
.
Un
d
er
s
tan
d
in
g
th
ese
r
is
k
s
an
d
ap
p
ly
in
g
ap
p
r
o
p
r
iate
s
ec
u
r
ity
m
ea
s
u
r
es
ar
e
in
teg
r
al
to
th
e
s
u
cc
ess
f
u
l
o
p
er
atio
n
o
f
W
SN.
I
n
th
is
r
eg
ar
d
,
it is
r
elev
an
t to
s
o
lv
e
t
h
e
p
r
o
b
lem
o
f
id
en
tify
i
n
g
atta
ck
s
o
n
W
SN.
Fig
u
r
e
1
.
W
SN
a
p
p
licatio
n
s
C
y
b
er
s
ec
u
r
ity
attac
k
s
h
a
v
e
i
n
cr
ea
s
ed
r
ap
i
d
ly
in
v
ar
io
u
s
f
ield
s
s
u
ch
as
b
u
ild
in
g
m
a
n
ag
em
en
t,
h
ea
lth
ca
r
e,
en
er
g
y
,
ag
r
ic
u
ltu
r
e,
au
to
m
atio
n
an
d
in
d
u
s
tr
ial
p
r
o
ce
s
s
es
[
1
0
]
.
Dif
f
er
en
t
tech
n
iq
u
es
an
d
p
r
o
to
c
o
ls
ar
e
u
s
ed
to
ac
h
iev
e
au
th
en
tica
tio
n
,
en
cr
y
p
tio
n
an
d
d
ata
in
teg
r
ity
[
1
1
]
.
T
h
e
ap
p
licatio
n
o
f
v
ar
io
u
s
tech
n
iq
u
es
to
d
etec
t WS
N
attac
k
s
is
g
ain
i
n
g
p
o
p
u
lar
ity
[
1
2
]
-
[
1
4
]
.
T
h
e
s
ec
u
r
ity
ch
allen
g
es o
f
W
SN in
clu
d
e:
−
L
ac
k
o
f
s
ec
u
r
it
y
s
tan
d
ar
d
s
a
n
d
u
n
i
f
o
r
m
d
ata
p
r
o
tectio
n
p
r
in
cip
les
f
o
r
W
SN
ca
n
lead
to
in
co
r
r
ec
t
o
r
in
co
m
p
lete
im
p
lem
e
n
tatio
n
o
f
s
ec
u
r
ity
m
ea
s
u
r
es,
an
d
m
ak
e
it
d
if
f
icu
lt
to
ass
ess
th
e
s
ec
u
r
ity
lev
el
o
f
th
e
o
v
er
all
s
y
s
tem
.
Dif
f
er
en
t
d
ev
i
ce
s
m
ay
h
av
e
d
if
f
er
e
n
t
lev
els
o
f
s
ec
u
r
ity
,
a
n
d
th
eir
d
y
n
am
ic
n
atu
r
e,
s
u
c
h
as
r
elo
ca
tio
n
o
r
a
d
d
itio
n
a
n
d
r
em
o
v
al
f
r
o
m
th
e
n
etwo
r
k
,
ca
n
cr
ea
t
e
d
if
f
ic
u
lties
in
estab
lis
h
in
g
an
d
m
ain
tain
in
g
d
ata
p
r
o
tectio
n
.
W
SN
ar
e
at
r
is
k
o
f
cy
b
er
att
ac
k
s
d
u
e
to
th
e
d
e
p
lo
y
m
e
n
t
o
f
s
en
s
o
r
n
o
d
es
with
o
u
t a
d
ef
in
e
d
wir
eless
co
m
m
u
n
icatio
n
s
tr
u
ct
u
r
e
an
d
th
e
lack
o
f
r
o
b
u
s
t n
etwo
r
k
s
ec
u
r
it
y
p
r
o
t
o
co
ls
.
−
L
im
ited
co
m
p
u
tin
g
r
eso
u
r
ce
s
,
m
em
o
r
y
an
d
en
e
r
g
y
ef
f
ici
en
cy
o
f
s
en
s
o
r
n
o
d
es
d
o
n
o
t
allo
w
f
o
r
t
h
e
im
p
lem
en
tatio
n
o
f
h
ig
h
-
p
er
f
o
r
m
an
ce
d
ata
p
r
o
ce
s
s
in
g
alg
o
r
ith
m
s
an
d
s
o
p
h
is
ticated
an
aly
tics
,
co
m
p
lex
d
ata
p
r
o
tectio
n
a
n
d
en
c
r
y
p
tio
n
m
ec
h
an
is
m
s
.
Du
e
to
in
a
d
e
q
u
ate
cy
b
e
r
s
ec
u
r
ity
an
d
t
h
e
f
ailu
r
e
to
ap
p
ly
ap
p
r
o
p
r
iate
d
ata
p
r
o
tectio
n
m
ea
s
u
r
es
b
o
th
d
ir
ec
tly
in
th
e
s
en
s
o
r
n
o
d
es
an
d
in
th
e
wir
eless
n
etwo
r
k
in
f
r
astru
ctu
r
e,
th
e
r
e
is
th
e
p
o
t
en
tial
f
o
r
cy
b
e
r
th
r
ea
ts
s
u
ch
a
s
d
ata
in
ter
ce
p
tio
n
,
s
p
o
o
f
in
g
,
o
r
d
is
cr
ed
itin
g
,
as
well
as
attac
k
s
o
n
co
m
m
u
n
icatio
n
p
r
o
to
co
ls
o
r
th
e
n
etwo
r
k
in
f
r
astru
ctu
r
e.
Sen
s
o
r
n
o
d
es
in
W
SN
ar
e
lim
ited
b
y
th
eir
co
m
p
u
tatio
n
al
ca
p
ab
ilit
ies,
m
em
o
r
y
ca
p
ac
ity
,
b
atter
y
life
,
co
m
m
u
n
icatio
n
r
an
g
e
,
b
an
d
wid
th
a
n
d
s
ec
u
r
ity
.
T
h
ese
lim
itatio
n
s
m
ak
e
th
em
v
u
ln
er
ab
le
to
v
ar
io
u
s
th
r
ea
ts
an
d
c
o
m
p
r
o
m
is
es.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
52
In
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
3
6
,
No
.
1
,
Octo
b
er
20
24
:
3
1
8
-
3
3
7
320
−
I
n
tr
u
s
io
n
d
etec
tio
n
p
r
o
b
lem
is
v
er
y
im
p
o
r
tan
t
in
th
e
ca
s
e
o
f
W
SN.
T
r
ad
itio
n
al
ap
p
r
o
ac
h
es
th
at
an
aly
ze
n
etwo
r
k
a
n
o
m
alies
at
m
u
ltip
le
p
o
in
ts
o
f
co
n
ce
n
tr
atio
n
ar
e
c
o
s
tly
in
ter
m
s
o
f
n
etwo
r
k
m
e
m
o
r
y
an
d
p
o
wer
co
n
s
u
m
p
tio
n
.
T
h
er
e
f
o
r
e,
th
e
r
e
is
a
n
ee
d
f
o
r
d
ec
en
t
r
alize
d
in
t
r
u
s
io
n
d
etec
tio
n
.
−
T
r
ad
itio
n
al
s
ec
u
r
ity
p
r
o
to
co
ls
ar
e
n
o
t
well
s
u
ited
f
o
r
W
SN
d
u
e
to
th
e
lim
ited
n
etwo
r
k
r
e
s
o
u
r
ce
s
an
d
th
e
is
o
lated
,
u
n
co
n
tr
o
lled
n
atu
r
e
o
f
s
en
s
o
r
n
o
d
e
p
lace
m
e
n
t.
Dif
f
er
en
t
d
ev
ices
m
ay
h
av
e
d
i
f
f
er
en
t
lev
els
o
f
s
ec
u
r
ity
,
an
d
th
eir
d
y
n
am
ic
n
atu
r
e,
s
u
ch
as
m
o
v
in
g
o
r
ad
d
i
n
g
an
d
r
e
m
o
v
in
g
th
em
f
r
o
m
t
h
e
n
etwo
r
k
,
ca
n
cr
ea
te
d
if
f
icu
lties
in
estab
lis
h
i
n
g
an
d
m
ain
tain
i
n
g
d
ata
p
r
o
te
ctio
n
.
W
SN
m
ay
b
e
v
u
ln
er
ab
l
e
to
attac
k
s
o
n
th
e
p
h
y
s
ical
p
ar
a
m
eter
s
o
f
th
e
en
v
ir
o
n
m
en
t in
w
h
ic
h
th
ey
o
p
er
ate.
T
h
e
cu
r
r
en
t
s
tate
o
f
r
esear
ch
in
ap
p
r
o
ac
h
es,
m
eth
o
d
s
,
tech
n
i
q
u
es
an
d
m
o
d
els,
alg
o
r
ith
m
s
f
o
r
attac
k
id
en
tific
atio
n
an
d
s
ec
u
r
ity
ass
ess
m
en
t
o
f
W
SN
is
an
ac
tiv
ely
d
ev
elo
p
in
g
f
ield
.
T
h
is
p
a
p
er
an
aly
ze
s
r
ec
en
t
r
esear
ch
an
d
a
d
v
an
ce
s
with
t
h
e
i
d
en
tific
atio
n
o
f
W
SN
s
ec
u
r
ity
g
ap
s
.
So
lu
ti
o
n
s
to
th
ese
id
en
tifie
d
g
a
p
s
ar
e
d
etailed
in
s
ec
tio
n
3
,
an
d
r
e
co
m
m
en
d
atio
n
s
o
f
s
ec
u
r
ity
m
ea
s
u
r
es
ar
e
p
r
o
p
o
s
ed
,
an
d
r
ec
o
m
m
en
d
atio
n
s
o
f
s
ec
u
r
ity
m
ea
s
u
r
es a
r
e
p
r
o
p
o
s
e
d
f
o
r
W
SN.
T
h
e
s
tu
d
y
aim
s
to
d
ev
elo
p
a
s
y
s
tem
atic
l
iter
atu
r
e
r
ev
iew
o
n
W
SN
in
s
ec
u
r
ity
an
d
t
o
id
e
n
tify
th
e
m
o
s
t
ef
f
ec
tiv
e
m
eth
o
d
s
f
o
r
d
etec
tin
g
attac
k
s
o
n
W
SN,
an
d
to
a
n
aly
ze
ef
f
ec
tiv
e
m
eth
o
d
s
a
n
d
t
o
o
ls
f
o
r
p
r
ev
e
n
tin
g
s
u
ch
attac
k
s
.
T
h
e
m
ain
c
o
n
tr
ib
u
tio
n
o
f
th
is
r
esear
ch
is
:
−
Per
f
o
r
m
in
g
a
s
y
s
tem
atize
d
liter
a
tu
r
e
r
ev
iew
to
ass
ess
th
e
cu
r
r
en
t
s
tate
o
f
th
e
p
r
o
b
lem
o
f
W
SN
s
af
ety
an
d
s
ec
u
r
ity
in
th
e
last
5
y
ea
r
s
.
−
C
ateg
o
r
izin
g
th
e
r
esear
ch
,
ac
c
o
r
d
in
g
to
th
e
ty
p
es
o
f
alg
o
r
ith
m
s
u
s
ed
m
et
h
o
d
s
o
f
attac
k
i
d
e
n
tific
atio
n
,
I
DS
an
d
ty
p
es o
f
th
r
ea
ts
.
−
An
aly
zin
g
k
n
o
wn
m
eth
o
d
s
,
m
o
d
els,
alg
o
r
ith
m
s
f
o
r
id
en
tif
y
in
g
attac
k
s
o
n
W
SN
in
o
r
d
er
to
id
en
tify
th
eir
ef
f
ec
tiv
en
ess
.
−
C
o
m
p
ilatio
n
o
f
a
c
o
m
p
r
eh
e
n
s
iv
e
tax
o
n
o
m
y
o
n
class
if
icatio
n
s
o
f
attac
k
ty
p
es,
d
atas
ets,
co
n
tr
o
ller
s
,
r
ec
o
m
m
en
d
atio
n
s
,
ef
f
ec
ti
v
e
m
eth
o
d
s
f
o
r
d
etec
tin
g
attac
k
s
o
n
W
SN
an
d
o
n
in
tr
u
s
io
n
d
etec
tio
n
s
y
s
tem
(
I
DS)
ar
ch
itectu
r
es in
th
e
co
n
t
ex
t o
f
W
SN.
Fig
u
r
e
2
s
h
o
ws
h
o
w
t
h
e
ar
tic
le
is
o
r
g
an
ized
,
wh
ic
h
co
n
s
is
ts
o
f
f
o
u
r
s
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Fig
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1
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6
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s
ec
u
r
ity
”
)
A
ND
T
I
T
L
E
-
AB
S
-
KE
Y
(
“
atta
ck
”
)
OR
T
I
T
L
E
-
AB
S
-
KE
Y
(
“
cy
b
er
attac
k
s
”
)
OR
TITLE
-
AB
S
-
KE
Y
(
“
I
DS
”
)
O
R
T
I
T
L
E
-
AB
S
-
KE
Y
(
“
I
n
tr
u
s
io
n
Dete
ctio
n
Sy
s
tem
s
”
)
OR
T
I
T
L
E
-
AB
S
-
KE
Y
(
“
I
n
tr
u
s
io
n
Dete
ctio
n
Me
th
o
d
s
”
)).
SC
OP
US,
Go
o
g
le
s
ch
o
lar
,
C
r
o
s
s
r
ef
,
Sem
an
tic
s
ch
o
lar
d
at
a
b
ases
ar
e
s
elec
ted
f
o
r
th
is
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ch
s
tu
d
y
u
s
in
g
th
e
s
tu
d
y
o
f
t
h
e
last
f
iv
e
y
ea
r
s
f
r
o
m
2
0
1
9
-
2
0
2
3
as
s
h
o
wn
in
T
ab
le
3
.
Scien
tific
d
atab
ases
f
r
o
m
th
e
s
o
u
r
ce
s
lis
ted
ab
o
v
e,
ar
e
s
u
m
m
ar
ized
in
T
a
b
le
3
,
a
n
d
k
e
y
w
o
r
d
s
ar
e
s
u
m
m
a
r
ized
in
T
a
b
le
2
.
Sp
ec
if
ic
s
ea
r
ch
st
r
ateg
ies
wer
e
also
u
s
ed
.
I
n
p
ar
ticu
lar
,
r
esear
ch
ar
ticles
wer
e
an
aly
ze
d
f
o
r
in
clu
s
io
n
a
n
d
e
x
clu
s
io
n
cr
iter
ia
as
s
h
o
wn
in
Fig
u
r
e
3
.
T
ab
le
2
.
L
is
t o
f
k
ey
wo
r
d
s
S
t
r
i
n
g
s
W
a
t
c
h
w
o
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d
s
WSN
OR
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i
r
e
l
e
ss s
e
n
s
o
r
n
e
t
w
o
r
k
s
AND
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S
N
sec
u
r
i
t
y
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S
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t
t
a
c
k
s
OR
I
n
t
r
u
si
o
n
d
e
t
e
c
t
i
o
n
sy
s
t
e
ms
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I
n
t
r
u
si
o
n
d
e
t
e
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t
i
o
n
me
t
h
o
d
s
OR
T
ab
le
3
.
Data
b
ases
P
u
b
l
i
s
h
e
r
U
R
L
S
c
o
p
u
s
h
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/
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w
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w
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s
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e
b
o
f
S
c
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:
/
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w
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w
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c
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m
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/
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sc
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r
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c
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/
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c
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ma
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:
/
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w
w
w
.
sem
a
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h
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r
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o
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T
h
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cr
iter
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r
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tin
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r
t
icles
f
o
r
f
u
r
th
e
r
r
ev
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a
n
d
a
n
aly
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is
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ef
in
ed
,
i.e
.
,
th
e
m
eth
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d
o
f
s
ea
r
ch
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g
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d
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ticl
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g
s
p
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ialized
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d
PR
I
SMA
m
eta
-
an
aly
s
is
[
1
5
]
,
[
1
6
]
,
as
s
h
o
wn
in
Fig
u
r
e
3
.
T
h
e
PR
I
SMA
f
lo
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ar
t,
d
escr
ib
es
th
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ce
s
s
o
f
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tif
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g
s
tu
d
ies
in
s
cien
tific
d
atab
ases
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r
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y
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tem
atic
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ev
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T
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e
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t
is
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iv
i
d
ed
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o
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r
m
a
in
s
tep
s
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tific
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n
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s
cr
ee
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tio
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d
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clu
s
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n
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h
e
alg
o
r
ith
m
r
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tio
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f
1
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r
ticles
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co
r
d
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g
to
g
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en
r
eq
u
i
r
em
en
ts
f
o
r
f
u
r
t
h
er
r
esear
ch
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
52
In
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
3
6
,
No
.
1
,
Octo
b
er
20
24
:
3
1
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-
3
3
7
322
Fig
u
r
e
3
.
PR
I
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f
lo
w
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iag
r
am
o
n
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elec
tio
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d
s
cr
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ap
er
s
2
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3
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P
a
per
s
elec
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n c
rit
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ia
T
h
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s
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cr
iter
io
n
was
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ased
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n
th
e
PR
I
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f
lo
w
d
iag
r
am
.
T
h
e
s
ea
r
ch
f
ir
s
t
f
o
cu
s
ed
o
n
ex
is
tin
g
r
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ch
o
n
W
SN
attac
k
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etec
tio
n
m
eth
o
d
s
a
n
d
alg
o
r
ith
m
s
,
W
SN
s
ec
u
r
ity
,
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d
W
SN
attac
k
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etec
tio
n
m
eth
o
d
s
.
T
h
e
s
ea
r
ch
co
v
er
ed
t
h
e
p
er
i
o
d
f
r
o
m
2
0
1
9
to
2
0
2
3
.
Fir
s
t,
all
ar
ticles
p
u
b
lis
h
ed
b
ef
o
r
e
2
0
1
9
wer
e
ex
clu
d
ed
f
r
o
m
th
e
s
ea
r
ch
.
T
h
en
,
all
ar
ticles
wr
itten
in
lan
g
u
ag
es
o
th
er
th
an
E
n
g
l
is
h
wer
e
ex
clu
d
ed
.
T
h
e
s
ea
r
ch
was
m
ain
l
y
f
o
cu
s
e
d
o
n
m
atch
in
g
r
esear
ch
o
n
th
e
d
ef
e
n
s
e
o
f
wir
eless
s
en
s
o
r
n
e
two
r
k
s
.
I
n
o
r
d
er
to
id
en
tify
s
tu
d
ies
th
r
o
u
g
h
s
cien
tific
d
atab
ases
u
s
in
g
PR
I
S
MA
s
ch
em
e,
f
ir
s
t,
1
,
0
3
8
ar
ti
cles
f
r
o
m
d
if
f
er
en
t
d
atab
ase
f
r
o
m
T
a
b
le
3
wer
e
ef
f
ec
tiv
ely
co
llected
an
d
im
p
o
r
ted
.
Af
ter
im
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o
r
tin
g
t
h
e
co
llected
s
tu
d
ies,
a
s
cr
ee
n
in
g
p
r
o
ce
s
s
f
o
llo
ws.
I
n
th
e
s
cr
ee
n
in
g
p
r
o
ce
s
s
,
f
ir
s
tly
,
d
u
p
licates
ar
e
r
em
o
v
ed
a
n
d
th
en
2
3
0
ar
ticles
ar
e
s
elec
ted
f
o
r
f
u
r
th
er
s
cr
ee
n
in
g
.
Ar
ticles
in
th
e
f
ield
o
f
co
m
p
u
ter
s
cien
ce
,
en
g
in
ee
r
i
n
g
wer
e
s
elec
ted
.
T
h
e
d
u
p
licate
4
4
ar
ticles
wer
e
elim
in
ated
.
Nex
t,
ar
ticles
w
ith
h
ig
h
h
in
d
ex
wer
e
s
elec
ted
.
Af
t
er
s
cr
ee
n
in
g
,
an
o
th
er
2
0
a
r
ticles
f
r
o
m
o
wn
d
atab
ase
wer
e
ad
d
e
d
to
th
e
s
tu
d
y
lis
t.
Scr
ee
n
in
g
r
esu
lt
o
f
in
c
lu
d
ed
an
d
ex
cl
u
d
ed
ar
ticles
is
s
h
o
wn
in
Fig
u
r
e
4
.
Af
ter
th
at,
1
0
0
ar
ticles
wer
e
s
elec
ted
an
d
in
clu
d
ed
as
s
h
o
w
n
in
Fig
u
r
e
4
(
a)
f
o
r
f
u
r
th
er
an
aly
s
is
o
f
p
ap
er
s
.
1
3
0
ar
ticles
wer
e
ex
clu
d
e
d
as
s
h
o
wn
in
F
ig
u
r
e
4
(
b
)
.
T
ab
le
4
s
h
o
ws
th
e
in
clu
s
io
n
an
d
ex
clu
s
io
n
cr
iter
ia
f
o
r
r
ese
ar
ch
ar
ticles.
(
a)
(
b
)
Fig
u
r
e
4
.
Scr
ee
n
i
n
g
r
esu
lt
o
f
(
a)
in
clu
d
ed
an
d
(
b
)
e
x
clu
d
e
d
a
r
ticles
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2
5
0
2
-
4
7
52
To
w
a
r
d
s
r
o
b
u
s
t secu
r
ity
in
W
S
N
:
a
co
mp
r
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en
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ive
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n
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lytic
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l
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(
Ta
ma
r
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Zh
u
ka
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a
ye
v
a
)
323
T
ab
le
4
.
C
r
iter
ia
f
o
r
in
clu
s
io
n
an
d
ex
clu
s
io
n
o
f
r
esear
ch
ar
tic
les
P
a
r
a
me
t
e
r
s
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n
c
l
u
s
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o
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Ex
c
l
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p
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c
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t
o
2
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La
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g
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a
g
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En
g
l
i
sh
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t
h
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l
a
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a
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F
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i
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C
o
m
p
u
t
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e
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O
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c
i
t
a
t
i
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Le
ss
c
i
t
a
t
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o
n
H
i
g
h
h
i
n
d
e
x
W
i
t
h
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t
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n
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e
x
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p
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t
i
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a
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+
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d
a
t
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p
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i
c
a
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e
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h
e
s
tu
d
y
in
v
o
lv
ed
ex
ten
s
iv
e
d
ata
co
llectio
n
,
wh
ich
was
s
to
r
ed
in
a
s
p
r
ea
d
s
h
ee
t
with
t
h
e
a
d
d
itio
n
o
f
an
in
-
h
o
u
s
e
d
atab
ase.
T
h
is
d
at
a
in
clu
d
ed
in
f
o
r
m
atio
n
o
n
th
e
titl
e
o
f
th
e
ar
ticles,
au
th
o
r
s
,
y
ea
r
o
f
p
u
b
licatio
n
,
d
ataset,
I
DS,
alg
o
r
ith
m
o
r
m
et
h
o
d
u
s
ed
,
m
o
d
el
p
er
f
o
r
m
a
n
ce
,
ty
p
es
o
f
attac
k
s
o
n
W
SN,
an
n
o
tatio
n
s
,
an
d
d
ata
s
o
u
r
ce
s
.
T
h
is
ap
p
r
o
ac
h
allo
w
ed
u
s
to
o
r
g
an
ize
a
n
d
o
r
g
an
i
ze
th
e
in
f
o
r
m
atio
n
,
w
h
ich
f
u
r
th
er
f
ac
ilit
ated
th
e
wo
r
k
.
Sev
er
al
in
ter
esti
n
g
f
in
d
in
g
s
em
er
g
ed
f
r
o
m
th
is
s
tu
d
y
.
First,
it
was
f
o
u
n
d
th
at
th
e
u
s
e
o
f
d
if
f
er
e
n
t
ty
p
es
o
f
ar
tific
ial
in
tellig
en
ce
alg
o
r
it
h
m
s
ca
n
s
ig
n
if
ican
tly
a
f
f
ec
t th
e
p
er
f
o
r
m
an
ce
o
f
m
o
d
els.
2
.
4
.
Q
ua
lit
y
a
s
s
ess
m
ent
Ar
ticles,
r
ev
iew
ar
ticles
an
d
c
o
n
f
er
e
n
ce
p
r
o
ce
ed
in
g
s
wer
e
u
s
ed
in
th
e
q
u
ality
ass
ess
m
en
t
p
r
o
ce
s
s
o
f
th
is
r
ev
iew.
T
o
en
s
u
r
e
th
e
q
u
a
lity
o
f
th
e
r
ev
iew,
all
r
ep
ea
ted
en
tr
ies
wer
e
ca
r
ef
u
lly
ch
ec
k
e
d
.
E
ac
h
s
tu
d
y
was
ca
r
ef
u
lly
e
v
alu
ated
.
Ar
ticle
a
b
s
tr
ac
ts
wer
e
s
cr
ee
n
ed
in
d
e
p
th
to
a
n
aly
ze
an
d
clea
n
th
e
a
r
ticles
to
en
s
u
r
e
th
e
q
u
ality
an
d
r
elev
an
ce
o
f
th
e
r
e
s
ea
r
ch
ar
ticle
in
clu
d
ed
in
th
e
r
ev
iew
p
r
o
ce
s
s
.
T
h
e
s
tu
d
y
s
elec
tio
n
c
r
iter
ia
s
h
o
we
d
h
ig
h
r
elev
a
n
ce
an
d
r
elia
b
ilit
y
o
f
in
f
o
r
m
atio
n
.
I
t
is
im
p
o
r
tan
t
to
n
o
te
th
at
th
is
ass
ess
m
en
t
is
a
r
esu
lt
o
f
th
e
a
n
aly
s
is
,
th
u
s
g
iv
in
g
cr
ed
e
n
ce
to
th
e
f
in
d
in
g
s
an
d
r
ec
o
m
m
en
d
atio
n
s
.
T
h
is
r
ev
ie
w
is
a
r
eliab
le
an
d
r
elev
a
n
t so
u
r
ce
o
f
in
f
o
r
m
atio
n
o
n
th
e
t
o
p
ic.
Ou
r
s
tu
d
y
em
p
h
asized
th
e
n
e
ed
f
o
r
an
ex
ten
d
e
d
s
tu
d
y
o
f
t
h
is
to
p
ic.
T
h
e
f
in
d
in
g
s
s
u
g
g
e
s
t
th
at
th
e
co
m
p
lex
ities
in
h
er
en
t in
th
is
to
p
ic
ar
e
f
ar
-
r
ea
c
h
in
g
a
n
d
r
eq
u
ir
e
m
o
r
e
in
-
d
e
p
th
s
tu
d
y
.
W
e
ca
n
h
o
p
e
to
s
h
o
w
th
e
in
tr
icac
ies
o
f
th
e
f
ield
,
th
e
r
eb
y
co
n
tr
i
b
u
tin
g
to
a
m
o
r
e
co
m
p
lete
u
n
d
er
s
tan
d
in
g
th
at
ca
n
p
o
te
n
tially
in
f
o
r
m
f
u
tu
r
e
ac
ad
em
ic
d
is
cu
s
s
io
n
s
an
d
p
r
ac
tical
ap
p
licatio
n
s
.
I
t
is
im
p
o
r
tan
t
to
n
o
te
th
at
th
is
ass
e
s
s
m
en
t
r
esu
lts
f
r
o
m
an
an
aly
s
is
,
wh
ich
allo
ws
y
o
u
to
tr
u
s
t
th
e
c
o
n
clu
s
i
o
n
s
an
d
r
ec
o
m
m
en
d
atio
n
s
o
b
tain
ed
.
T
h
is
r
ev
iew
p
r
o
v
id
es a
r
eliab
le
an
d
u
p
-
to
-
d
ate
s
o
u
r
ce
o
f
i
n
f
o
r
m
atio
n
o
n
t
h
e
to
p
ic.
3.
RE
SU
L
T
S
T
h
is
s
ec
tio
n
p
r
esen
ts
a
co
m
p
r
eh
en
s
iv
e
an
aly
tical
r
e
v
iew
a
n
d
em
p
ir
ical
a
n
aly
s
is
o
f
W
SN
s
ec
u
r
ity
,
co
v
er
in
g
class
if
icatio
n
s
b
y
a
ttack
ty
p
e,
I
DSs
,
attac
k
id
en
tific
at
io
n
tech
n
iq
u
es,
alg
o
r
i
th
m
s
,
m
o
d
els,
an
d
ex
is
tin
g
s
ec
u
r
ity
tax
o
n
o
m
ies.
T
h
e
p
r
o
p
o
s
ed
ex
ten
d
ed
tax
o
n
o
m
y
o
f
W
SN
s
ec
u
r
ity
m
e
asu
r
es
r
ef
lects
th
e
ev
o
lv
in
g
la
n
d
s
ca
p
e
o
f
cy
b
e
r
s
ec
u
r
ity
th
r
ea
ts
an
d
d
ef
en
s
e
m
e
ch
an
is
m
s
,
o
f
f
er
in
g
a
f
o
r
war
d
-
l
o
o
k
in
g
p
er
s
p
ec
tiv
e
o
n
W
SN
s
ec
u
r
ity
.
T
h
is
s
ec
ti
o
n
h
as
p
r
o
v
id
e
d
a
co
m
p
r
e
h
e
n
s
iv
e
an
aly
tical
r
ev
iew
an
d
em
p
ir
ical
an
aly
s
is
o
f
W
SN
s
ec
u
r
ity
,
co
v
er
in
g
cl
ass
if
icatio
n
s
b
ased
o
n
attac
k
ty
p
es,
I
DSs
,
attac
k
id
en
t
if
icatio
n
m
eth
o
d
s
,
alg
o
r
ith
m
s
,
m
o
d
els,
an
d
e
x
is
tin
g
s
ec
u
r
ity
tax
o
n
o
m
ies.
T
h
e
p
r
o
p
o
s
ed
ex
te
n
d
ed
tax
o
n
o
m
y
o
f
W
SN
s
ec
u
r
ity
m
ea
s
u
r
es
r
ef
lects
th
e
ev
o
lv
in
g
lan
d
s
ca
p
e
o
f
cy
b
er
s
ec
u
r
it
y
th
r
ea
ts
an
d
d
ef
en
s
e
m
ec
h
an
is
m
s
,
o
f
f
er
in
g
a
f
o
r
war
d
-
l
o
o
k
in
g
p
e
r
s
p
ec
tiv
e
o
n
s
ec
u
r
in
g
wir
eless
s
en
s
o
r
n
et
wo
r
k
s
.
3
.
1
.
Ana
ly
s
is
o
f
s
elec
t
ed
a
rt
i
cles by
pu
bl
is
her
a
n
d by
y
e
ar
Fig
u
r
e
5
s
h
o
ws
th
e
s
tr
u
ctu
r
ed
n
u
m
b
er
o
f
ar
ticles
th
at
wer
e
s
elec
ted
f
o
r
a
n
aly
s
is
f
r
o
m
t
h
o
s
e
p
u
b
lis
h
ed
b
y
r
ep
u
ted
s
cien
tific
p
u
b
lis
h
er
s
b
etwe
en
2
0
1
9
a
n
d
2
0
2
3
.
I
n
clu
d
in
g
‘
I
E
E
E
Xp
lo
r
e
’
with
1
7
.
9
%,
‘
Sp
r
in
g
er
’
with
2
0
.
2
%,
s
o
u
r
ce
s
in
clu
d
e
‘
E
ls
ev
ier
’
with
1
3
.
1
%,
‘
Oth
er
’
with
1
0
.
7
%
an
d
‘
Aca
d
em
ia.
ed
u
’
with
6
.
0
%.
Sm
aller
s
eg
m
en
ts
ar
e
r
ep
r
esen
ted
b
y
s
o
u
r
ce
s
s
u
ch
as
‘
W
iley
On
lin
e
L
ib
r
ar
y
’
with
4
.
8
%,
‘
T
ay
lo
r
a
n
d
Fra
n
cis
’
with
2
.
1
%,
‘
AC
M
’
with
2
.
4
%,
‘
Scien
ce
Dir
ec
t
’
a
n
d
‘
Sch
o
lar
.
ar
c
h
iv
e.
o
r
g
’
with
2
.
4
%,
'
R
e
s
ea
r
ch
Gate
'
wit
h
7
.
1
%,
‘
MD
PI
’
with
6
.
0
%,
an
d
‘
I
J
E
T
T
’
with
1
.
2
%.
F
i
g
u
r
e
5
p
r
o
v
i
d
e
s
a
v
i
s
u
a
l
i
za
t
i
o
n
o
f
t
h
e
v
a
r
i
e
ty
o
f
s
o
u
r
ce
s
u
s
e
d
t
o
a
c
c
e
s
s
r
e
s
e
a
r
ch
p
a
p
e
r
s
a
n
d
s
h
o
w
s
th
a
t
th
e
r
e
i
s
a
r
a
n
g
e
o
f
p
r
e
f
er
r
ed
s
o
u
r
c
e
s
o
n
t
h
e
r
e
s
e
a
r
ch
to
p
ic
w
i
th
i
n
t
h
e
r
e
s
e
a
r
c
h
co
m
m
u
n
i
ty
.
F
i
g
u
r
e
6
s
h
o
w
s
t
h
e
a
n
n
u
a
l
d
i
s
t
r
i
b
u
t
i
o
n
o
f
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e
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a
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ch
f
r
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m
2
0
1
9
t
o
2
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2
3
.
I
t
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a
s
b
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en
o
b
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r
v
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d
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a
t
th
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n
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r
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f
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d
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e
s
h
a
s
n
o
t
d
ec
r
e
a
s
e
d
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v
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t
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s
s
m
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p
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ty
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s
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le
v
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t
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
52
In
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
3
6
,
No
.
1
,
Octo
b
er
20
24
:
3
1
8
-
3
3
7
324
Fig
u
r
e
5
.
Ar
ticles s
elec
ted
f
o
r
r
ev
iew
p
u
b
lis
h
er
Fig
u
r
e
6
.
Dis
tr
ib
u
tio
n
o
f
s
tu
d
i
es b
y
y
ea
r
o
f
p
u
b
licatio
n
3
.
2
.
Cla
s
s
if
ica
t
io
n o
f
s
t
ud
ies
o
n t
y
pes
o
f
WSN
a
t
t
a
c
k
s
Attack
s
o
n
W
SN
ca
n
b
e
clas
s
if
ied
b
ased
o
n
th
ei
r
p
u
r
p
o
s
e,
ty
p
e
an
d
m
eth
o
d
s
u
s
ed
.
B
y
p
u
r
p
o
s
e,
attac
k
s
ca
n
tar
g
et
d
ata
av
ailab
ilit
y
,
in
teg
r
ity
o
r
c
o
n
f
id
e
n
tiality
.
B
y
ty
p
e,
attac
k
s
ca
n
b
e
p
ass
iv
e
o
r
ac
tiv
e.
Pas
s
iv
e
attac
k
s
in
v
o
lv
e
in
ter
ce
p
tin
g
an
d
an
al
y
zin
g
tr
af
f
ic,
wh
ile
ac
tiv
e
attac
k
s
in
v
o
lv
e
a
lter
in
g
o
r
d
estro
y
in
g
d
ata
[
1
7
]
.
Acc
o
r
d
in
g
to
t
h
e
m
eth
o
d
s
u
s
ed
,
attac
k
s
ca
n
b
e
b
ased
o
n
p
h
y
s
ical
v
u
ln
er
ab
ilit
ies,
s
o
f
twar
e
v
u
ln
er
ab
ilit
ies o
r
p
r
o
to
c
o
l v
u
l
n
er
ab
ilit
ies.
W
h
en
W
SN
ar
e
u
s
ed
in
d
if
f
e
r
en
t
d
o
m
ain
s
,
a
v
a
r
iety
o
f
attac
k
s
ce
n
ar
io
s
ar
e
p
o
s
s
ib
le.
T
h
e
ar
ticles
[
1
8
]
class
if
y
attac
k
s
in
to
6
m
ain
ca
teg
o
r
ies:
p
h
y
s
ical
attac
k
s
,
n
etwo
r
k
attac
k
s
,
s
o
f
twar
e
attac
k
s
,
en
cr
y
p
tio
n
attac
k
s
,
d
ata
p
r
iv
ac
y
attac
k
s
,
e
n
cr
y
p
tio
n
attac
k
s
.
An
d
c
o
m
m
o
n
attac
k
s
o
n
wir
eless
s
en
s
o
r
n
et
wo
r
k
s
in
clu
d
e:
−
N
etwo
r
k
av
ailab
ilit
y
attac
k
s
,
s
u
ch
as
Do
S
attac
k
s
,
w
h
ich
ca
n
o
v
er
lo
ad
a
n
etwo
r
k
a
n
d
m
a
k
e
it
u
n
av
ailab
le
to
leg
itima
te
u
s
er
s
[
1
9
]
.
−
D
a
t
a
i
n
te
g
r
i
t
y
a
tt
a
c
k
s
,
s
u
c
h
as
m
e
s
s
a
g
e
s
p
o
o
f
i
n
g
a
t
t
ac
k
s
,
w
h
ic
h
c
a
n
a
l
t
e
r
o
r
d
e
l
et
e
d
a
t
a
o
n
t
h
e
n
e
t
w
o
r
k
[
2
0
]
.
−
D
a
t
a
p
r
i
v
ac
y
a
t
t
a
ck
s
,
s
u
ch
a
s
t
r
a
f
f
i
c
h
i
j
a
ck
i
n
g
a
t
ta
c
k
s
,
w
h
i
c
h
co
u
ld
l
ea
d
t
o
th
e
d
i
s
c
l
o
s
u
r
e
o
f
s
e
n
s
i
t
iv
e
d
a
t
a
[
2
1
]
.
−
S
o
f
twar
e
attac
k
s
,
s
u
ch
as
b
u
f
f
er
o
v
er
f
lo
w
attac
k
s
,
wh
ich
ca
n
lead
t
o
th
e
ex
ec
u
tio
n
o
f
ar
b
itr
ar
y
c
o
d
e
o
n
th
e
n
etwo
r
k
.
−
Pro
to
co
l a
ttack
s
s
u
ch
a
s
r
o
u
tin
g
attac
k
s
th
at
ca
n
lead
t
o
n
etw
o
r
k
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ic
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T
h
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tt
ac
k
s
is
p
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esen
ted
in
Fig
u
r
e
7
a
n
d
th
e
ty
p
es o
f
attac
k
s
an
d
d
ef
en
s
e
tech
n
iq
u
es a
r
e
d
escr
ib
ed
in
T
a
b
le
5
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2
5
0
2
-
4
7
52
To
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r
o
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a
co
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A
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r
Th
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t
/
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c
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[
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A
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Fig
u
r
e
7
p
r
esen
ts
th
e
d
if
f
er
en
t
ty
p
es
o
f
n
etwo
r
k
attac
k
s
,
wh
ich
ca
n
b
e
u
s
ef
u
l
f
o
r
an
aly
zin
g
cy
b
er
s
ec
u
r
ity
an
d
p
r
io
r
itizin
g
d
ef
en
s
e
s
tr
ateg
ies.
Attack
s
i
n
v
o
lv
in
g
th
e
s
o
f
twar
e
lay
er
ar
e
am
o
n
g
th
e
m
o
s
t
co
m
m
o
n
.
T
h
is
ty
p
e
o
f
attac
k
s
ca
n
ex
p
l
o
it
v
u
ln
e
r
ab
ilit
ies
in
W
SN
s
o
f
twar
e
to
g
ain
co
n
tr
o
l
o
v
er
th
e
n
etwo
r
k
[
3
2
]
.
T
o
p
r
o
tect
W
SN
f
r
o
m
att
ac
k
s
,
v
ar
io
u
s
s
ec
u
r
ity
m
ea
s
u
r
e
s
s
u
ch
as:
i)
d
ata
e
n
cr
y
p
ti
o
n
:
e
n
cr
y
p
tio
n
p
r
o
tects
th
e
d
ata
f
r
o
m
u
n
au
th
o
r
ized
ac
ce
s
s
;
ii)
a
u
th
en
ticatio
n
an
d
au
th
o
r
izatio
n
:
a
u
th
en
ticatio
n
an
d
au
t
h
o
r
izatio
n
m
ak
e
s
u
r
e
th
at
o
n
ly
au
th
o
r
ize
d
u
s
er
s
ca
n
ac
ce
s
s
th
e
n
etwo
r
k
an
d
its
r
eso
u
r
ce
s
;
an
d
iii)
a
t
tack
d
etec
tio
n
an
d
r
esp
o
n
s
e
:
a
ttack
d
etec
tio
n
a
n
d
r
esp
o
n
s
e
s
y
s
tem
s
ca
n
h
elp
d
e
tect
an
d
r
em
e
d
iate
attac
k
s
in
r
ea
l
tim
e.
Fo
llo
win
g
th
ese
s
ec
u
r
ity
m
ea
s
u
r
es
ca
n
h
elp
p
r
o
tect
th
e
W
SN
f
r
o
m
attac
k
s
an
d
en
s
u
r
e
s
af
e
an
d
s
ec
u
r
e
n
etwo
r
k
o
p
er
atio
n
s
.
Fig
u
r
e
8
illu
s
tr
ates
th
e
v
ar
iety
o
f
attac
k
s
th
at
ca
n
o
cc
u
r
in
W
SN
an
d
th
e
d
if
f
e
r
en
t
s
tr
ateg
ies
u
s
ed
to
co
n
tr
o
l
m
ea
s
u
r
es WS
N
f
r
o
m
th
ese
th
r
ea
ts
.
Fig
u
r
e
7
.
C
lass
if
icat
io
n
o
f
s
tu
d
ies b
y
attac
k
ty
p
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
52
In
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
3
6
,
No
.
1
,
Octo
b
er
20
24
:
3
1
8
-
3
3
7
326
Fig
u
r
e
8
.
W
SN
attac
k
s
an
d
co
u
n
ter
m
ea
s
u
r
es
3
.
3
.
Cla
s
s
if
ica
t
io
n o
f
I
DS
-
ba
s
ed
s
t
ud
ies
T
h
e
s
ec
tio
n
is
d
e
d
icate
d
o
n
th
e
class
if
icatio
n
o
f
r
esear
ch
o
n
I
DS
-
b
ased
W
SN
I
DS
.
An
I
DS
s
o
m
etim
es
k
n
o
wn
as
an
in
tr
u
s
io
n
p
r
ev
en
tio
n
s
y
s
tem
(
I
PS
)
is
an
ac
tiv
e
d
ef
en
s
e
m
e
ch
an
is
m
d
ep
l
o
y
ed
b
y
th
e
I
o
T
th
at
ca
n
r
ec
o
g
n
ize
in
tr
u
s
io
n
ac
tiv
ity
an
d
in
itiate
aler
ts
[
3
3
]
.
Ho
wev
e
r
,
as th
e
n
u
m
b
er
o
f
h
az
ar
d
s
in
cr
ea
s
es,
q
u
esti
o
n
s
ar
is
e
ab
o
u
t
th
e
lo
n
g
-
ter
m
v
iab
ilit
y
an
d
p
r
ac
ticality
o
f
c
u
r
r
e
n
t
m
eth
o
d
s
.
T
h
ese
co
n
s
id
er
atio
n
s
a
r
e
p
ar
ticu
lar
ly
r
elev
an
t
in
lig
h
t
o
f
th
e
in
c
r
ea
s
in
g
lev
el
o
f
ad
ap
tiv
e
p
er
f
o
r
m
an
ce
an
d
th
e
lack
o
f
d
etec
tio
n
ac
cu
r
ac
y
.
I
n
tr
u
s
io
n
d
etec
tio
n
ca
p
ab
ilit
ies
in
clu
d
e:
m
o
n
ito
r
in
g
an
d
an
aly
zin
g
u
s
er
an
d
s
y
s
tem
ac
tiv
ities
;
an
aly
zin
g
s
y
s
tem
c
o
n
f
ig
u
r
at
io
n
an
d
v
u
l
n
er
ab
ilit
ies;
ass
ess
in
g
s
y
s
tem
an
d
f
ile
in
teg
r
ity
;
th
e
ab
ilit
y
to
i
d
en
tify
attac
k
p
atter
n
s
; a
n
aly
zin
g
an
o
m
alo
u
s
ac
tiv
ity
p
atter
n
s
; a
n
d
t
r
ac
k
in
g
u
s
er
s
f
o
r
p
o
licy
v
i
o
latio
n
s
[
3
4
]
.
R
esear
ch
an
aly
s
is
h
as
s
h
o
wn
th
at
th
er
e
ar
e
f
o
u
r
m
ain
m
eth
o
d
s
to
b
u
i
ld
an
I
DS:
s
ig
n
atu
r
e
-
b
ased
an
d
d
ata
-
b
ased
,
b
eh
a
v
io
r
an
aly
s
is
-
b
ased
I
DS,
a
n
d
ar
tific
ial
in
tell
ig
en
ce
-
b
ased
I
DS.
E
ac
h
ty
p
e
o
f
I
DS
h
as
its
o
wn
ad
v
an
tag
es
an
d
d
is
ad
v
an
tag
es
[
3
5
]
.
T
h
e
s
elec
tio
n
o
f
th
e
m
o
s
t
ap
p
r
o
p
r
iate
s
y
s
tem
d
e
p
en
d
s
o
n
th
e
s
p
ec
if
ic
r
eq
u
ir
em
e
n
ts
o
f
a
p
ar
ticu
lar
o
r
g
an
izatio
n
.
I
n
s
o
m
e
ca
s
es,
it
m
ay
b
e
n
ec
ess
ar
y
to
d
ep
lo
y
m
u
ltip
le
I
DS
ty
p
es
t
o
en
s
u
r
e
co
m
p
r
eh
e
n
s
iv
e
co
v
er
a
g
e
[
3
6
]
.
T
ab
le
6
s
h
o
ws
t
h
e
cl
ass
if
icatio
n
o
f
s
elec
ted
s
tu
d
ie
s
o
n
I
DS,
d
etec
tio
n
ca
teg
o
r
ies
an
d
d
etec
tio
n
m
et
h
o
d
s
,
attac
k
s
an
d
th
r
ea
ts
[
3
7
]
.
Acc
o
r
d
in
g
to
th
e
s
elec
ted
s
tu
d
ies,
m
o
s
t
o
f
th
e
r
esear
ch
er
s
u
s
ed
W
SN b
ased
I
DS,
d
is
tr
ib
u
tio
n
-
b
ased
I
DS,
a
n
o
m
aly
-
b
ased
I
DS,
DL
b
ased
I
DS
,
an
d
ML
b
ased
I
DS a
n
d
th
at
th
e
p
r
o
p
o
s
ed
I
D
S im
p
r
o
v
es secu
r
ity
,
d
etec
tio
n
ac
cu
r
ac
y
.
E
x
is
tin
g
I
DSs
f
o
r
W
SN
h
av
e
s
ev
er
al
s
h
o
r
tco
m
in
g
s
.
First,
th
ey
o
f
ten
d
o
n
o
t
tak
e
in
to
a
cc
o
u
n
t
th
e
s
p
ec
if
ic
ch
ar
ac
ter
is
tics
o
f
W
SN,
s
u
ch
as
lim
ited
co
m
p
u
tati
o
n
al
r
eso
u
r
ce
s
an
d
l
o
w
b
an
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.
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Fig
u
r
e
9
s
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licatio
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ef
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in
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ased
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DSs
,
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ased
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ased
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h
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liter
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r
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r
ev
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o
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DS f
o
r
W
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tifie
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k
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−
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f
f
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t r
esear
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ty
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s
.
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ttack
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n
d
will b
e
ab
le
to
d
etec
t c
o
m
p
le
x
attac
k
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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d
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J
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DL
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5
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[
5
5
]
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o
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[
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6
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[
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2
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n
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t
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d
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g
[
5
8
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2
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1
9
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C
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[
5
9
]
2
0
2
0
I
o
TI
D
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GA
–
G
W
O
S
u
b
r
a
ma
n
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d
S
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[
6
0
]
2
0
2
3
C
l
a
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f
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n
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m
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b
h
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n
d
R
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d
d
y
[
6
1
]
2
0
2
3
N
e
t
w
o
r
k
I
D
S
(
N
I
D
S
)
DL
R
a
v
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e
n
d
r
a
n
a
d
h
a
n
d
Ta
mi
l
se
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v
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n
[
6
2
]
2
0
2
3
W
S
N
b
a
s
e
d
I
D
S
EPK
-
DNN
Li
e
t
a
l
.
[
6
3
]
2
0
2
3
W
S
N
b
a
s
e
d
I
D
S
ESV
M
G
u
p
t
a
a
n
d
G
u
p
t
a
[
6
4
]
2
0
2
3
M
W
S
N
S
D
F
A
H
e
man
a
n
d
e
t
a
l
.
[
6
5
]
2
0
2
2
C
S
G
O
C
S
G
O
и
LSV
M
G
o
d
a
l
a
a
n
d
V
a
d
d
e
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l
a
[
1
9
]
2
0
2
0
S
u
i
t
a
b
l
e
I
D
S
C
S
G
O
-
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M
m
o
d
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l
Fig
u
r
e
9
.
Dis
tr
ib
u
tio
n
o
f
s
tu
d
i
es b
y
I
DS
Evaluation Warning : The document was created with Spire.PDF for Python.