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1.
I
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So
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Net
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w
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lat
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ch
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Net
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Her
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its
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ch
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s
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ap
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[
1
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p
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[
2
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MSN
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r
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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I
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2
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1
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-
1152
1146
OM
SN
is
a
f
o
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m
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f
Mo
b
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A
d
-
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Net
w
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(
M
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w
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d
ata
ex
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p
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T
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p
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m
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tic
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w
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ca
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in
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w
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(
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ar
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h
i
g
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l
y
d
y
n
a
m
ic
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n
d
co
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n
ec
tio
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s
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et
d
is
co
n
n
ec
ted
v
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y
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ast.
So
,
f
o
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s
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c
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k
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w
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w
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k
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w
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ll b
e
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le
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d
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f
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t
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n
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p
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w
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g
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th
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a
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m
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ter
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ata
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ait
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it
en
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ter
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w
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e
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s
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h
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o
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p
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w
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ar
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s
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s
p
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ial
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o
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De
la
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t N
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s
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Ns).
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m
e
o
f
t
h
e
ad
v
an
ta
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o
f
O
MSNs
ar
e:
No
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n
f
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astru
ct
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r
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o
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t
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ec
ti
v
e,
P
o
w
er
co
n
s
u
m
p
tio
n
is
lo
w
,
ca
n
b
e
u
s
ed
in
d
i
s
aster
r
elief
,
B
est
t
ec
h
n
o
lo
g
y
to
b
e
u
s
ed
i
n
d
ev
elo
p
in
g
&
r
u
r
al
r
eg
io
n
s
an
d
Av
o
id
s
u
n
n
ec
es
s
ar
y
co
m
m
u
n
icatio
n
s
.
T
h
er
e
ar
e
v
ar
io
u
s
ap
p
licatio
n
s
f
o
r
OM
SNs
i
n
clu
d
in
g
Me
s
s
ag
e
/Fi
l
e
tr
an
s
f
er
r
in
g
,
Au
d
io
/Vid
eo
tr
an
s
f
er
r
in
g
,
D
is
s
e
m
i
n
ati
n
g
/Fo
r
w
ar
d
in
g
So
cial
C
o
n
te
n
ts
(
n
e
w
s
,
tr
a
f
f
ic,
aler
t
s
,
s
o
cial
m
ed
ia,
etc.
)
,
Fi
n
d
in
g
N
eig
h
b
o
r
u
s
er
s
w
h
ich
h
elp
s
to
m
ee
t
p
eo
p
le
w
i
th
i
n
r
an
g
e
i
n
co
n
f
er
en
ce
s
,
m
alls
,
lar
g
e
co
m
p
an
ie
s
,
etc.
T
h
er
e
ar
e
also
m
an
y
i
s
s
u
es
in
OM
SN
i
n
ar
ea
s
o
f
R
eso
u
r
ce
Ma
n
ag
e
m
e
n
t
a
n
d
User
B
e
h
av
i
o
r
,
P
r
iv
ac
y
an
d
Sec
u
r
it
y
,
Data
m
i
n
in
g
,
Mo
b
ile
C
r
o
w
d
-
So
u
r
ci
n
g
an
d
Mo
b
ile
I
OT
,
o
f
w
h
ich
p
r
iv
ac
y
a
n
d
s
ec
u
r
i
t
y
is
co
n
s
id
er
ed
as
p
r
io
r
an
d
d
is
cu
s
s
ed
in
d
etail
in
later
s
ec
tio
n
s
.
T
h
is
p
ap
er
is
o
r
g
an
ized
as:
th
e
ar
ch
itect
u
r
e
o
f
OM
SN
a
n
d
th
e
ar
ch
itect
u
r
al
c
o
m
p
ar
is
o
n
o
f
OM
SN
w
it
h
M
S
N
is
d
is
c
u
s
s
ed
i
n
Sectio
n
2
.
S
ec
tio
n
3
g
iv
e
s
b
r
ief
o
v
er
v
ie
w
o
f
i
s
s
u
es
in
OM
SN
.
P
r
iv
ac
y
a
n
d
s
ec
u
r
it
y
is
s
u
e
s
o
f
OM
SN
ar
e
d
escr
ib
ed
i
n
Sectio
n
4
.
E
x
is
t
in
g
s
o
lu
tio
n
s
a
n
d
r
esear
ch
d
ir
ec
tio
n
s
r
eg
ar
d
i
n
g
it a
r
e
d
is
c
u
s
s
ed
in
Sectio
n
5
.
2.
ARCH
I
T
E
C
T
UR
E
O
F
O
P
P
O
RT
UNI
ST
I
C
M
O
B
I
L
E
SO
CIAL
N
E
T
WO
RK
T
h
e
ar
ch
itectu
r
e
o
f
tr
ad
itio
n
al
MSN
is
co
m
p
ar
ed
w
it
h
th
at
o
f
OM
SN.
T
h
er
e
ar
e
tw
o
m
ain
ar
ch
itect
u
r
al
co
m
p
o
n
en
t
s
p
r
es
en
t
h
er
e:
m
o
b
ile
n
o
d
e
an
d
s
er
v
er
.
Mo
b
ile
n
o
d
es
ar
e
th
e
m
o
b
ile
u
s
er
s
w
h
o
u
s
e
m
o
b
ile
d
ev
ices
s
u
ch
a
s
s
m
ar
t
p
h
o
n
es,
tab
lets
,
iP
ad
o
r
P
DA
's
f
o
r
co
m
m
u
n
icatio
n
.
Ser
v
er
s
ca
n
b
e
ce
n
tr
alize
d
o
r
lo
ca
l
s
er
v
er
w
h
ich
ac
ts
a
s
co
n
ten
t/
s
er
v
ice
p
r
o
v
id
er
.
A
l
l
t
h
e
i
n
f
o
r
m
atio
n
th
a
t
is
f
lo
w
i
n
g
i
n
t
h
e
n
et
w
o
r
k
i
s
s
to
r
ed
an
d
r
etr
iev
ed
f
r
o
m
th
e
s
e
s
er
v
er
s
.
Fig
u
r
e
1
s
h
o
w
s
th
e
ar
ch
itec
tu
r
e
o
f
tr
ad
itio
n
al
MSN.
Her
e
m
o
b
ile
n
o
d
es
ex
c
h
a
n
g
e
in
f
o
r
m
atio
n
/d
ata
w
it
h
o
t
h
er
m
o
b
ile
n
o
d
es
w
i
th
t
h
e
h
e
lp
o
f
I
n
ter
n
et
u
s
i
n
g
W
iFi
o
r
b
ase
s
ta
tio
n
a
s
ac
ce
s
s
p
o
in
t
s
.
T
h
e
in
f
o
r
m
atio
n
i
s
s
to
r
ed
in
co
n
ten
t/s
er
v
ice
p
r
o
v
id
er
w
h
ic
h
ac
ts
as
ce
n
tr
alize
d
s
er
v
er
.
I
n
s
o
m
e
ca
s
es,
ar
ch
itectu
r
e
o
f
MSN
w
i
ll
ac
t
i
n
d
e
-
ce
n
tr
al
ized
m
an
n
er
also
.
Her
e
i
n
s
tea
d
o
f
ce
n
tr
alize
d
s
er
v
er
s
,
lo
ca
l
s
er
v
er
s
ta
k
e
t
h
eir
r
o
le
an
d
m
o
b
ile
n
o
d
es c
o
m
m
u
n
icate
w
it
h
ea
ch
o
t
h
er
th
r
o
u
g
h
in
tr
an
et.
Fig
u
r
e
2
s
h
o
w
s
t
h
e
ar
ch
itect
u
r
e
o
f
OM
SN.
Her
e
m
o
b
ile
n
o
d
es
co
m
m
u
n
icate
w
it
h
ea
ch
o
t
h
er
d
ir
ec
tly
w
it
h
o
u
t
u
s
i
n
g
I
n
ter
n
et
b
u
t
w
i
t
h
t
h
e
h
elp
o
f
s
o
m
e
s
h
o
r
t
-
r
a
n
g
e
co
m
m
u
n
icatio
n
tec
h
n
o
lo
g
ie
s
li
k
e
d
ir
ec
t
W
iFi
,
B
lu
eto
o
th
,
NF
C
,
etc.
W
h
e
n
o
n
e
m
o
b
ile
n
o
d
e
co
m
es
in
s
id
e
th
e
tr
a
n
s
m
i
s
s
io
n
r
an
g
e
o
f
o
t
h
er
m
o
b
ile
n
o
d
e,
th
e
d
ata/in
f
o
r
m
atio
n
o
f
b
o
th
th
e
n
o
d
es a
r
e
ex
ch
an
g
ed
w
ith
ea
c
h
o
th
er
.
Fig
u
r
e
1
.
A
r
ch
itectu
r
e
o
f
tr
ad
i
tio
n
al
m
o
b
ile
s
o
cial
n
et
w
o
r
k
Fig
u
r
e
2
.
A
r
ch
itectu
r
e
o
f
o
p
p
o
r
tu
n
i
s
tic
MS
N
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2
0
8
8
-
8708
Op
p
o
r
tu
n
is
tic
mo
b
ile
s
o
cia
l n
etw
o
r
ks:
a
r
ch
ite
ctu
r
e,
p
r
iva
cy
,
s
ec
u
r
ity
is
s
u
es
…
(
V
im
ith
a
R
.
V
id
h
ya
La
ksh
mi
)
1147
3.
I
SS
U
E
S
I
N
O
P
P
O
RT
UN
I
S
T
I
C
M
O
B
I
L
E
SO
CI
AL
N
E
T
WO
RK
S
I
s
s
u
e
s
in
tr
ad
itio
n
al
MSN
s
an
d
OM
SNs
ar
e
al
m
o
s
t
s
a
m
e
an
d
ar
e
s
ee
n
p
er
c
o
n
tex
t
s
u
it
ab
ilit
y
an
d
i
m
p
o
r
tan
ce
.
T
h
er
e
ar
e
s
ev
er
al
is
s
u
es a
n
d
s
o
m
e
o
f
t
h
e
m
ar
e
as f
o
llo
w
s
:
3
.
1
.
Reso
urce
m
a
na
g
e
m
e
nt
a
nd
us
er
beha
v
io
r
R
eso
u
r
ce
s
in
cl
u
d
e
b
an
d
w
id
t
h
,
b
atter
y
en
er
g
y
,
p
r
o
ce
s
s
in
g
p
o
w
er
,
etc.
Mo
r
e
u
s
ag
e
o
f
th
es
e
k
in
d
s
o
f
r
eso
u
r
ce
s
m
a
y
lead
to
d
ep
r
e
ciatio
n
o
f
r
eso
u
r
ce
s
.
T
h
er
ef
o
r
e
p
r
o
p
er
m
an
a
g
e
m
en
t
in
t
h
e
u
s
ag
e
o
f
th
e
s
e
r
eso
u
r
ce
s
is
ch
alle
n
g
i
n
g
.
Use
r
b
eh
av
io
r
is
a
f
ac
to
r
f
o
r
p
ar
t
icip
atio
n
o
f
u
s
er
s
i
n
th
e
d
ata
r
o
u
tin
g
.
Ma
x
i
m
u
m
p
ar
ticip
atio
n
is
n
ee
d
ed
f
o
r
p
r
o
p
er
d
ata
f
o
r
w
ar
d
in
g
w
it
h
o
u
t
d
ela
y
a
n
d
w
i
th
h
ig
h
ac
c
u
r
ac
y
.
B
u
t
m
o
s
t
o
f
t
h
e
u
s
er
s
ar
e
s
el
f
i
s
h
a
n
d
ig
n
o
r
e
t
h
eir
p
ar
ticip
atio
n
d
u
e
to
th
e
ir
o
w
n
li
m
ited
b
atter
y
p
o
w
er
.
T
h
er
ef
o
r
e
an
al
y
zi
n
g
u
s
er
b
eh
a
v
io
r
an
d
in
c
lu
d
i
n
g
p
r
o
p
e
r
u
s
er
in
ce
n
ti
v
es
ar
e
i
m
p
o
r
tan
t
f
o
r
m
a
x
i
m
u
m
p
ar
t
icip
atio
n
o
f
u
s
er
s
.
R
eso
u
r
ce
m
a
n
a
g
e
m
en
t
i
s
an
im
p
o
r
ta
n
t
f
ac
to
r
w
h
ic
h
is
to
b
e
s
o
lv
ed
in
b
o
th
th
e
ca
s
es,
tr
ad
itio
n
al
MSN
as
w
ell
as
OM
SN.
B
u
t
u
s
er
b
eh
av
io
r
is
s
u
e
m
a
in
l
y
a
f
f
ec
ts
OM
SN
b
ec
au
s
e
d
ata
r
o
u
ti
n
g
/f
o
r
w
ar
d
in
g
i
n
OM
SN
p
u
r
el
y
d
ep
en
d
s
o
n
th
e
m
o
b
ile
n
o
d
es th
at
p
ar
ticip
ate
in
m
ess
a
g
e
tr
a
n
s
f
er
r
i
n
g
.
3
.
2
.
P
ri
v
a
cy
a
nd
s
ec
urit
y
P
r
iv
ac
y
an
d
s
ec
u
r
it
y
i
s
an
i
m
p
o
r
tan
t
r
esear
ch
ar
ea
th
at
h
as
n
o
en
d
an
d
p
er
f
ec
t
s
o
lu
tio
n
.
E
v
en
th
o
u
g
h
th
er
e
ar
e
m
a
n
y
p
r
iv
ac
y
an
d
s
ec
u
r
it
y
s
o
lu
ti
o
n
s
[
3
]
,
[
4
]
,
n
o
t
h
in
g
i
s
ac
c
u
r
ate
an
d
p
er
f
ec
t
u
n
til
t
h
er
e
ar
e
ac
ti
v
e
h
ac
k
er
s
o
u
t
s
id
e
th
er
e.
T
h
er
e
ar
e
lo
ts
an
d
lo
ts
o
f
p
r
iv
ac
y
a
n
d
s
ec
u
r
it
y
is
s
u
e
s
in
b
o
th
tr
a
d
itio
n
al
MSN
a
n
d
OM
SN.
An
d
also
th
er
e
ex
i
s
t
m
an
y
s
o
l
u
tio
n
s
f
o
r
p
r
iv
ac
y
an
d
s
ec
u
r
it
y
is
s
u
e
s
in
tr
ad
itio
n
al
MSN.
A
s
OM
SN
i
s
an
u
p
co
m
in
g
tec
h
n
o
lo
g
y
o
n
l
y
f
e
w
p
r
iv
ac
y
an
d
s
ec
u
r
it
y
is
s
u
e
s
ar
e
s
o
lv
ed
.
Mo
r
e
co
n
ce
n
tr
ati
o
n
s
h
o
u
ld
b
e
g
iv
e
n
in
th
is
ar
ea
f
o
r
s
ec
u
r
e
an
d
ef
f
i
cien
t O
MS
N.
3.
3
.
Da
t
a
m
i
nin
g
Mo
b
ile
n
o
d
es
u
s
u
all
y
in
v
o
lv
e
in
co
llecti
n
g
t
h
e
d
ata
f
r
o
m
s
u
r
r
o
u
n
d
i
n
g
s
o
r
s
to
r
in
g
t
h
ei
r
d
ata
in
t
o
s
u
r
r
o
u
n
d
in
g
s
(
clo
u
d
i
n
ca
s
e
o
f
tr
ad
itio
n
al
M
SN
o
r
o
th
er
m
o
b
ile
n
o
d
es
in
ca
s
e
o
f
O
MSN
)
.
I
n
b
o
th
th
e
ca
s
es
th
e
co
m
p
u
tatio
n
s
s
h
o
u
ld
b
e
d
o
n
e
in
s
u
c
h
a
w
a
y
t
h
at
th
e
m
o
b
ile
n
o
d
e’
s
b
atter
y
co
n
s
u
m
p
tio
n
i
s
lo
w
a
n
d
t
h
e
n
o
d
e’
s
p
r
iv
ac
y
is
n
o
t c
o
m
p
r
o
m
is
ed
.
3
.
4
.
M
o
bil
e
cr
o
w
d
-
s
o
urcing
T
h
er
e
ar
e
s
ev
er
al
ap
p
licatio
n
s
i
n
tr
ad
itio
n
a
l
M
SN
t
h
at
in
v
o
lv
e
s
m
o
b
ile
cr
o
w
d
-
s
o
u
r
cin
g
.
E
x
is
ti
n
g
s
o
lu
tio
n
s
i
n
tr
ad
itio
n
al
M
SN
d
o
es
n
o
t
h
an
d
le
s
er
v
ice
f
a
ilu
r
es
an
d
d
o
es
n
o
t
e
n
s
u
r
e
a
h
i
g
h
lev
el
o
f
r
eliab
ili
t
y
.
T
h
er
ef
o
r
e,
s
u
f
f
ic
ien
t
w
o
r
k
s
s
h
o
u
ld
b
e
d
o
n
e
i
n
t
h
ese
ar
ea
s
.
O
MSNs
m
ai
n
l
y
i
n
v
o
lv
e
s
tr
an
g
e
r
s
o
r
n
o
d
es
t
h
at
ar
e
co
m
p
lete
l
y
u
n
k
n
o
w
n
.
T
h
ese
u
n
k
n
o
w
n
n
o
d
es
ca
n
b
e
a
tr
u
s
ted
n
o
d
e
o
r
m
alicio
u
s
n
o
d
e.
I
t
is
d
if
f
ic
u
lt
to
f
i
n
d
s
u
c
h
k
i
n
d
o
f
n
o
d
es
i
n
OM
S
N
.
T
h
er
ef
o
r
e,
c
o
llectiv
e
in
telli
g
en
t
in
f
o
r
m
a
tio
n
i
s
n
ee
d
ed
f
r
o
m
a
lar
g
e
g
r
o
u
p
o
f
p
eo
p
le
in
-
o
r
d
er
to
s
o
lv
e
t
h
ese
k
in
d
s
o
f
co
m
p
licated
p
r
o
b
lem
s
.
T
h
is
is
k
n
o
w
n
a
s
cr
o
w
d
-
s
o
u
r
cin
g
a
n
d
is
also
a
n
i
m
p
o
r
tan
t a
r
ea
o
f
r
esear
ch
i
n
d
e
m
an
d
.
3.
5
.
M
o
bil
e
I
O
T
As
d
a
y
s
g
o
w
eb
/I
n
ter
n
et
i
n
f
o
r
m
atio
n
g
ets
in
cr
ea
s
ed
a
n
d
is
g
etti
n
g
o
v
er
lo
ad
ed
.
I
n
ad
d
itio
n
to
th
e
ab
o
v
e
s
aid
o
v
er
lo
ad
in
g
,
in
f
o
r
m
atio
n
f
r
o
m
I
OT
r
elate
d
tech
n
o
lo
g
ies
al
s
o
co
n
tr
ib
u
te
a
m
aj
o
r
p
a
r
t.
Stu
d
ies
s
a
y
th
at
th
e
I
OT
r
elate
d
in
f
o
r
m
ati
o
n
to
g
eth
er
w
it
h
w
eb
in
f
o
r
m
a
tio
n
is
g
o
in
g
to
b
e
lar
g
er
th
an
th
e
cu
r
r
en
t
s
ize
o
f
th
e
w
eb
in
t
h
e
f
o
r
th
co
m
in
g
y
ea
r
s
.
I
n
-
o
r
d
er
to
av
o
id
t
h
is
in
f
o
r
m
at
io
n
o
v
er
lo
ad
in
g
,
Mo
b
ile
I
OT
ca
n
b
e
i
n
t
h
e
f
o
r
m
o
f
o
p
p
o
r
tu
n
is
t
ic
n
e
t
w
o
r
k
in
g
b
y
u
s
i
n
g
an
y
s
h
o
r
t
-
r
an
g
e
co
m
m
u
n
icatio
n
tec
h
n
o
lo
g
y
w
it
h
h
i
g
h
r
eliab
il
it
y
an
d
w
ith
o
u
t I
n
ter
n
et.
4.
P
RIVACY
AN
D
SE
CURI
T
Y
I
SS
U
E
S
I
N
O
P
P
O
RT
UN
I
ST
I
C
M
SN
T
h
e
p
r
iv
ac
y
a
n
d
s
ec
u
r
it
y
is
s
u
es
in
o
p
p
o
r
tu
n
is
t
ic
n
et
w
o
r
k
in
g
ar
e
d
is
cu
s
s
ed
in
d
etail
i
n
[
5
]
.
So
m
e
o
f
th
e
s
u
b
-
ar
ea
s
w
h
ic
h
n
ee
d
m
o
r
e
atten
tio
n
i
n
t
h
is
ar
ea
r
eg
ar
d
i
n
g
p
r
iv
ac
y
a
n
d
s
ec
u
r
it
y
is
s
u
e
s
in
OM
SN i
n
cl
u
d
e:
4
.1
.
M
is
beha
v
io
r
d
et
ec
t
io
n
T
h
er
e
w
ill
n
o
t
b
e
an
y
OM
S
N
w
it
h
o
u
t
an
y
m
al
icio
u
s
n
o
d
e.
Dete
ctio
n
o
f
th
e
s
e
m
alicio
u
s
n
o
d
es
is
q
u
ite
d
if
f
ic
u
lt
b
ec
au
s
e
t
h
e
b
eh
av
io
r
o
f
n
o
d
es
in
OM
SNs
ca
n
n
o
t
b
e
p
er
-
d
eter
m
i
n
ed
.
T
h
ese
k
in
d
s
o
f
n
o
d
es
w
i
ll
b
e
s
u
r
el
y
m
i
s
b
eh
a
v
i
n
g
g
r
ad
u
a
ll
y
.
M
is
b
eh
a
v
io
r
o
f
n
o
d
es
ca
n
h
ap
p
en
i
n
t
w
o
w
a
y
s
:
1
)
t
h
e
n
o
d
e
it
s
el
f
w
i
ll
b
e
m
alicio
u
s
a
s
s
ee
n
i
n
ca
s
e
o
f
i
n
tr
u
s
io
n
d
etec
tio
n
o
r
2
)
th
e
m
al
icio
u
s
n
o
d
e
p
r
eten
d
s
to
b
e
n
o
n
-
m
alicio
u
s
n
o
d
e
as
s
ee
n
in
ca
s
e
o
f
S
y
b
il
attac
k
s
.
Dete
ct
io
n
o
f
t
h
ese
m
alicio
u
s
n
o
d
es
an
d
a
v
o
id
in
g
th
e
m
is
a
n
i
m
p
o
r
tan
t
is
s
u
e
i
n
d
em
a
n
d
w
h
ic
h
is
to
b
e
s
o
lv
ed
q
u
ick
l
y
an
d
ef
f
icie
n
tl
y
.
I
n
tr
u
s
io
n
Dete
ctio
n
:
I
t
is
th
e
d
et
ec
tio
n
o
f
m
alicio
u
s
n
o
d
es
in
O
MSN
s
.
T
h
ese
in
tr
u
d
er
n
o
d
es
af
f
ec
t
t
h
e
OM
SN
b
ad
ly
,
m
ai
n
l
y
d
u
r
in
g
t
h
e
ti
m
e
o
f
d
ata
r
o
u
t
in
g
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
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n
g
,
Vo
l.
9
,
No
.
2
,
A
p
r
il 2
0
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9
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1
1
4
5
-
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1148
R
ea
l
ti
m
e
i
n
tr
u
s
io
n
d
etec
tio
n
i
s
co
m
p
lica
ted
an
d
ch
allen
g
i
n
g
d
u
e
to
th
e
h
eter
o
g
en
eo
u
s
n
atu
r
e
o
f
o
p
p
o
r
tu
n
is
ti
c
n
et
w
o
r
k
i
n
g
.
S
y
b
il
Dete
c
tio
n
:
Her
e,
th
e
m
alic
io
u
s
n
o
d
e/attac
k
er
f
o
r
g
e
s
th
e
id
e
n
tit
y
o
f
t
h
e
o
th
er
n
o
n
-
m
alicio
u
s
n
o
d
e
in
th
e
OM
SN.
T
h
is
is
also
a
b
eh
av
io
r
-
b
ased
attac
k
in
-
o
r
d
er
to
g
ain
th
e
tr
u
s
t
o
f
th
e
o
th
er
n
o
d
es
i
n
th
e
n
et
w
o
r
k
.
4
.
2
.
User
priv
a
cy
P
r
iv
ac
y
o
f
u
s
er
s
i
s
i
m
p
o
r
tan
t
in
all
k
in
d
s
o
f
n
et
w
o
r
k
esp
ec
iall
y
i
n
o
p
p
o
r
tu
n
is
t
ic
n
et
w
o
r
k
s
.
On
l
y
i
f
th
e
p
r
iv
ac
y
o
f
t
h
e
u
s
er
is
g
u
ar
an
teed
,
th
e
u
s
er
w
ill
p
ar
ticip
at
e
in
t
h
i
s
k
in
d
o
f
n
e
t
w
o
r
k
.
P
ar
ticip
atio
n
o
f
u
s
er
in
OM
SN
i
s
v
er
y
i
m
p
o
r
tan
t
as
t
h
e
u
s
er
s
ar
e
th
e
m
ain
co
m
p
o
n
en
t
i
n
t
h
is
n
et
w
o
r
k
.
T
h
e
y
ar
e
th
e
m
o
b
ile
n
o
d
es.
User
p
r
iv
ac
y
i
n
cl
u
d
es
t
h
e
id
en
tit
y
,
lo
ca
tio
n
a
n
d
o
th
er
d
et
ails
i
n
v
o
lv
i
n
g
u
s
er
to
b
e
s
a
f
e
an
d
m
u
s
t
n
o
t
b
e
r
ev
ea
led
to
o
th
er
n
o
d
es
w
i
th
o
u
t th
e
p
r
io
r
k
n
o
w
led
g
e
o
f
t
h
e
u
s
er
.
4
.
3
.
So
lutio
n f
o
r
da
ng
er
o
us
a
t
t
a
ck
s
T
h
er
e
ar
e
m
a
n
y
d
an
g
er
o
u
s
att
ac
k
s
i
n
OM
SN
an
d
f
i
n
d
in
g
p
r
o
p
er
s
o
lu
tio
n
s
to
t
h
ese
d
a
n
g
er
o
u
s
attac
k
s
is
y
et
a
n
o
th
er
is
s
u
e.
So
m
e
o
f
th
e
p
o
s
s
ib
le
d
an
g
er
o
u
s
attac
k
s
h
a
v
e
b
ee
n
f
o
r
m
u
lated
i
n
[
6
]
,
o
f
th
ese
co
m
m
o
n
an
d
i
m
p
o
r
ta
n
t
attac
k
s
ar
e
I
D
Sp
o
o
f
i
n
g
,
Den
ia
l
o
f
Ser
v
i
ce
attac
k
,
Ma
n
-
in
-
th
e
-
m
id
d
le
attac
k
an
d
p
ac
k
et
d
r
o
p
p
in
g
.
An
e
f
f
icie
n
t
OM
S
N
s
h
o
u
ld
b
e
s
u
c
h
a
n
et
w
o
r
k
th
at
ca
n
w
it
h
s
ta
n
d
o
r
s
u
s
ta
i
n
at
-
leas
t
t
h
e
ab
o
v
e
s
aid
attac
k
s
.
4
.
4
.
Da
t
a
priv
a
c
y
a
nd
s
ec
urit
y
R
eg
ar
d
in
g
d
ata,
th
e
s
u
b
-
ar
ea
s
ar
e:
Secu
r
e
d
ata
r
o
u
tin
g
/
f
o
r
w
ar
d
in
g
,
Secu
r
e
s
p
a
m
f
ilter
an
d
Data
p
r
iv
ac
y
a
n
d
s
ec
u
r
i
t
y
.
Sec
u
r
e
d
ata
r
o
u
tin
g
m
ea
n
s
t
h
e
d
ata
t
h
a
t
is
tr
an
s
f
er
r
ed
f
r
o
m
t
h
e
s
o
u
r
ce
to
th
e
d
esti
n
atio
n
to
b
e
s
af
e
an
d
co
n
f
id
en
tial.
Secu
r
e
s
p
a
m
f
il
ter
m
ea
n
s
t
h
e
u
n
w
a
n
ted
d
ata
o
r
th
e
d
ata
w
h
ic
h
th
e
u
s
er
f
ee
ls
u
n
w
an
ted
s
h
o
u
ld
b
e
f
il
ter
ed
b
ef
o
r
e
th
i
s
d
ata
r
ea
ch
e
s
t
h
e
d
est
in
atio
n
m
o
b
ile
u
s
er
.
An
d
also
,
th
e
k
e
y
w
o
r
d
s
u
s
ed
f
o
r
f
ilter
i
n
g
th
i
s
,
s
h
o
u
ld
b
e
p
r
o
tecte
d
in
ter
m
s
o
f
i
n
te
g
r
it
y
an
d
co
n
f
id
en
tialit
y
.
Data
p
r
iv
ac
y
a
n
d
s
ec
u
r
i
t
y
in
v
o
l
v
es
th
e
in
teg
r
it
y
a
n
d
co
n
f
id
en
tialit
y
o
f
th
e
d
ata
th
a
t is b
ee
n
cir
cu
lated
in
s
id
e
OM
S
N.
T
h
e
leak
ag
e
o
f
d
ata
o
u
ts
id
e
OM
SN
s
h
o
u
ld
b
e
p
r
ev
en
ted
an
d
also
n
o
n
-
r
ep
u
d
iat
io
n
s
h
o
u
ld
b
e
ac
h
ie
v
ed
ef
f
icie
n
tl
y
.
5.
F
UT
UR
E
DIR
E
C
T
I
O
NS R
E
G
ARDI
NG
D
AT
A
'S P
RIV
ACY
AND
S
E
CUR
I
T
Y
I
SS
UE
S
5
.1
.
Secure
da
t
a
ro
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5
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3
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Da
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1151
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CO
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RE
F
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NC
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S
[1
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P
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n
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I
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p
p
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6
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2
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[4
]
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a
n
to
r
o
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T
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d
d
y
,
a
n
d
A
n
d
ri
Zak
a
riy
a
.
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c
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rin
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m
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Co
m
m
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De
v
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s,
"
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KOM
NIKA
(
T
e
lec
o
mm
u
n
ica
ti
o
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mp
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tro
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l
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n
o
.
4
,
p
p
.
807
-
8
1
4
.
2
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1
2
.
[5
]
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il
ien
,
L
e
s
z
e
k
,
Zi
ll
e
Hu
m
a
K
a
m
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l,
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ij
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y
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u
se
,
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n
d
A
ja
y
G
u
p
ta.
"
Op
p
o
rt
u
n
isti
c
Ne
tw
o
rk
s:
t
h
e
Co
n
c
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p
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n
d
Re
se
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Ch
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,
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c
.
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S
PW
N
,
p
p
.
1
3
4
-
1
4
7
,
2
0
0
6
.
[6
]
Ha
u
s,
M
ich
a
e
l,
M
u
h
a
m
m
a
d
W
a
q
a
s,
A
a
ro
n
Yi
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g
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Yo
n
g
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i,
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a
su
T
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rk
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m
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rg
Ott.
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e
c
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rit
y
a
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d
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r
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in
De
v
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-
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De
v
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D2
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m
m
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n
ica
ti
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Re
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w
,
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I
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C
o
mm
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n
ic
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s
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u
rv
e
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&
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1
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o
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2,
p
p
:
1
0
5
4
-
1
0
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9
,
2
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1
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.
[7
]
V
a
h
d
a
t,
Am
in
,
a
n
d
Da
v
id
Be
c
k
e
r.
"
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id
e
m
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c
Ro
u
ti
n
g
f
o
r
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a
rti
a
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y
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n
n
e
c
ted
A
d
Ho
c
Ne
t
w
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r
k
s
,
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e
c
h
n
ica
l
Rep
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rt C
S
-
2
0
0
0
-
06
,
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p
t
.
o
f
Co
m
p
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ter S
c
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c
e
,
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k
e
Un
iv
e
rsit
y
,
Du
rh
a
m
,
NC.,
2
0
0
0
.
[8
]
J
a
in
,
S
.
,
F
a
ll
,
K.,
&
P
a
tra,
R.
"
Ro
u
ti
n
g
in
a
De
la
y
T
o
lera
n
t
Ne
t
w
o
r
k
,
"
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Pro
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e
d
in
g
s o
f
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S
IGCO
M
M
,
.
V
o
l.
3
4
,
No
.
4
,
p
p
.
1
4
5
-
1
5
8
,
2
0
0
4
.
[9
]
S
p
y
ro
p
o
u
l
o
s,
T
h
ra
s
y
v
o
u
lo
s,
Ko
n
sta
n
ti
n
o
s
P
so
u
n
is,
a
n
d
Ca
u
l
ig
i
S
.
Ra
g
h
a
v
e
n
d
ra
.
"
S
in
g
le
-
c
o
p
y
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u
ti
n
g
i
n
In
term
it
ten
tl
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n
n
e
c
ted
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o
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il
e
Ne
t
w
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rk
s
,
"
In
S
e
n
so
r
a
n
d
Ad
H
o
c
Co
mm
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n
ic
a
ti
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n
s
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n
d
Ne
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k
s
,
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4
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S
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0
0
4
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rs
t
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n
u
a
l
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mm
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s S
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n
,
p
p
.
2
3
5
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4
,
2
0
0
4
.
[1
0
]
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in
d
g
re
n
,
A
n
d
e
rs,
Av
ri
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ria,
a
n
d
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v
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e
len
.
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r
o
b
a
b
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li
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R
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g
in
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n
term
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ten
tl
y
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ted
Ne
t
w
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rk
s
."
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e
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ice
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e
wit
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rtia
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n
ter
mitt
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t
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p
.
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4
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rli
n
,
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id
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l
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rg
,
2
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4
.
[1
1
]
S
p
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ro
p
o
u
l
o
s,
T
h
ra
sy
v
o
u
lo
s,
Ko
n
sta
n
ti
n
o
s
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s
o
u
n
is,
a
n
d
Ca
u
li
g
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S
.
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g
h
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v
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n
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ra
.
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p
ra
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n
d
W
a
i
t
:
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n
Eff
i
c
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t
Ro
u
ti
n
g
S
c
h
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m
e
f
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r
In
term
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ten
t
ly
Co
n
n
e
c
ted
M
o
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e
Ne
tw
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rk
s
,
"
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Pro
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e
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d
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g
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o
f
t
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e
2
0
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5
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CM
S
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M
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rk
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0
5
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p
p
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2
5
2
-
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5
9
.
[1
2
]
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rg
e
ss
,
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h
n
,
Brian
G
a
ll
a
g
h
e
r,
Da
v
id
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n
se
n
,
a
n
d
Brian
Ne
il
L
e
v
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e
.
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a
x
p
ro
p
:
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u
ti
n
g
f
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r
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e
h
i
c
le
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se
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p
ti
o
n
-
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n
t
Ne
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o
rk
s
,
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INFOCOM
2
0
0
6
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2
5
t
h
I
EE
E
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ter
n
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ti
o
n
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l
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n
fer
e
n
c
e
o
n
Co
mp
u
ter
Co
mm
u
n
ica
ti
o
n
s.
Pr
o
c
e
e
d
in
g
s
,
I
EE
E,
p
p
.
1
-
1
1
,
2
0
0
6
.
[1
3
]
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u
y
e
n
,
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a
n
g
A
n
h
,
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il
v
ia
G
io
rd
a
n
o
,
a
n
d
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les
sa
n
d
ro
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u
iatt
i.
"
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r
o
b
a
b
il
isti
c
Ro
u
ti
n
g
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r
o
to
c
o
l
f
o
r
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te
rm
it
ten
tl
y
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n
n
e
c
ted
M
o
b
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e
A
d
Ho
c
Ne
tw
o
rk
(
P
ro
p
icm
a
n
)
.
"
In
W
o
rld
o
f
W
ire
les
s,
M
o
b
il
e
a
n
d
M
u
lt
ime
d
i
a
Ne
two
rk
s,
2
0
0
7
.
W
o
W
M
o
M
2
0
0
7
.
IEE
E
In
ter
n
a
ti
o
n
a
l
S
y
mp
o
si
u
m
o
n
a
,
I
EE
E,
p
p
.
1
-
6
,
2
0
0
7
.
[1
4
]
Bo
ld
ri
n
i,
Ch
iara
,
M
a
rc
o
C
o
n
ti
,
a
n
d
A
n
d
re
a
P
a
ss
a
re
ll
a
.
"
Ex
p
lo
it
i
n
g
Us
e
r
s’
S
o
c
ial
Re
latio
n
s
t
o
F
o
rw
a
rd
Da
ta
i
n
Op
p
o
r
tu
n
isti
c
Ne
tw
o
rk
s:
T
h
e
Hib
o
p
S
o
l
u
ti
o
n
.
"
Per
v
a
siv
e
a
n
d
M
o
b
i
le Co
mp
u
ti
n
g
4
,
n
o
.
5
,
p
p
.
6
3
3
-
6
5
7
.
2
0
0
8
.
[1
5
]
L
iu
,
Co
n
g
,
a
n
d
Jie
W
u
.
"
An
Op
ti
m
a
l
P
ro
b
a
b
i
li
stic
F
o
rw
a
rd
in
g
P
r
o
to
c
o
li
n
De
lay
T
o
ler
a
n
t
Ne
t
w
o
rk
s
."
In
Pro
c
e
e
d
in
g
s
o
f
th
e
ten
t
h
ACM
in
ter
n
a
t
io
n
a
l
sy
mp
o
si
u
m
o
n
M
o
b
i
le
a
d
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o
c
n
e
tw
o
rk
in
g
a
n
d
c
o
mp
u
t
in
g
,
A
CM
,
p
p
.
105
-
1
1
4
,
2
0
0
9
.
[1
6
]
Bu
lu
t
,
Ey
u
p
h
a
n
,
S
a
h
in
Ce
m
Ge
y
i
k
,
a
n
d
Bo
les
law
K.
S
z
y
m
a
n
sk
i.
"
Co
n
d
i
ti
o
n
a
l
S
h
o
rtes
t
P
a
th
Ro
u
ti
n
g
i
n
De
la
y
T
o
lera
n
t
Ne
tw
o
rk
s,
"
In
W
o
rld
o
f
W
ire
les
s
M
o
b
il
e
a
n
d
M
u
l
ti
me
d
ia
Ne
two
rk
s
(W
o
W
M
o
M
),
2
0
1
0
IEE
E
in
ter
n
a
ti
o
n
a
l
sy
mp
o
siu
m
o
n
a
,
I
EE
E,
p
p
.
1
-
6
,
2
0
1
0
.
[1
7
]
Hu
i,
P
a
n
,
Jo
n
Cr
o
w
c
ro
f
t,
a
n
d
Ei
k
o
Yo
n
e
k
i.
"
Bu
b
b
le
R
a
p
:
S
o
c
ial
-
b
a
se
d
F
o
rw
a
rd
in
g
i
n
De
lay
-
T
o
ler
a
n
t
Ne
tw
o
rk
s
,
"
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
M
o
b
il
e
C
o
mp
u
ti
n
g
1
0
,
n
o
.
1
1
,
p
p
.
1
5
7
6
-
1
5
8
9
.
2
0
1
1
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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8
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2
,
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p
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0
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1152
1152
[1
8
]
Ng
u
y
e
n
,
Ho
a
n
g
A
n
h
,
a
n
d
S
il
v
ia
G
io
rd
a
n
o
.
"
Co
n
tex
t
In
f
o
rm
a
ti
o
n
P
re
d
ictio
n
f
o
r
S
o
c
ial
-
Ba
se
d
Ro
u
ti
n
g
i
n
Op
p
o
r
tu
n
isti
c
Ne
tw
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rk
s
,
"
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Ho
c
Ne
two
rk
s
1
0
,
n
o
.
8
,
p
p
.
1
5
5
7
-
1
5
6
9
.
2
0
1
2
.
[1
9
]
Dh
u
ra
n
d
h
e
r
,
S
a
n
jay
K.,
De
e
p
a
k
Ku
m
a
r
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h
a
rm
a
,
Isa
a
c
W
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u
n
g
a
n
g
,
a
n
d
S
h
r
u
ti
B
h
a
ti
.
"
HBP
R:
Histo
ry
Ba
se
d
P
re
d
ictio
n
f
o
r
Ro
u
t
in
g
i
n
I
n
f
ra
stru
c
tu
re
-
L
e
ss
Op
p
o
rtu
n
isti
c
Ne
tw
o
rk
s,
"
In
Ad
v
a
n
c
e
d
In
fo
rm
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t
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e
two
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g
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d
Ap
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),
2
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3
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EE
2
7
t
h
In
ter
n
a
ti
o
n
a
l
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o
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fer
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c
e
o
n
,
IEE
E,
p
p
.
9
3
1
-
9
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6
,
2
0
1
3
.
[2
0
]
Ch
e
n
,
Ho
n
g
l
o
n
g
,
a
n
d
W
e
i
L
o
u
.
"
GA
R:
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u
p
Aw
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r
e
Co
o
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ra
ti
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e
Ro
u
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n
g
P
r
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e
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stra
in
t
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p
o
r
tu
n
isti
c
Ne
tw
o
rk
s,
"
Co
mp
u
ter
c
o
mm
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n
ica
ti
o
n
s
4
8
,
p
p
.
2
0
-
2
9
.
2
0
1
4
.
[2
1
]
S
o
c
iev
o
le,
A
n
n
a
li
sa
,
e
t
a
l.
"
M
l
-
so
r:
M
e
ss
a
g
e
Ro
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ti
n
g
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n
g
M
u
lt
i
-
L
a
y
e
r
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o
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ial
Ne
tw
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rk
s
i
n
Op
p
o
rt
u
n
isti
c
Co
m
m
u
n
ica
ti
o
n
s
,
"
Co
mp
u
ter
Ne
two
rk
s
8
1
,
p
p
.
2
0
1
-
2
1
9
.
2
0
1
5
.
[2
2
]
Da
s,
P
riy
a
n
k
a
,
e
t
a
l.
"
F
ib
o
n
a
ry
S
p
ra
y
a
n
d
W
a
it
Ro
u
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ro
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e
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h
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g
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AT
),
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d
ia,
i
n
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0
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2
a
n
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0
1
5
re
sp
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ti
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ly
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rre
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h
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d
e
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re
e
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h
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RE
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c
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e
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rit
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rit
a
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iv
e
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y
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d
ia.
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r
re
se
a
r
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h
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tere
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in
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lu
d
e
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o
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il
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c
o
m
p
u
ti
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g
,
In
f
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rm
a
ti
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se
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d
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ss
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o
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m
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ica
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ire
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s
h
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u
m
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r
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s
b
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rn
in
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ra
la,
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d
ia,
in
1
9
7
6
.
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re
c
e
iv
e
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th
e
M
.
T
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c
h
.
d
e
g
re
e
f
ro
m
th
e
Co
c
h
in
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n
iv
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rsity
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f
S
c
ien
c
e
a
n
d
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e
c
h
n
o
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g
y
(CUS
AT
),
In
d
ia,
in
2
0
0
3
a
n
d
th
e
P
h
.
D.
d
e
g
re
e
f
ro
m
A
n
n
a
Un
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e
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y
,
In
d
ia,
in
2
0
1
1
,
b
o
th
in
Co
m
p
u
ter
S
c
ien
c
e
a
n
d
E
n
g
in
e
e
rin
g
.
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is
c
u
rre
n
tl
y
w
o
rk
in
g
a
s as
so
c
iate
p
ro
f
e
ss
o
r
w
i
th
T
IF
A
C
-
CORE i
n
c
y
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e
r
se
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u
rit
y
,
Am
rit
a
Un
iv
e
r
sit
y
,
In
d
ia.
His
re
se
a
rc
h
in
tere
sts
in
c
lu
d
e
W
irel
e
ss
c
o
m
m
u
n
ica
ti
o
n
,
M
a
c
h
in
e
lea
rn
in
g
,
A
lg
o
rit
h
m
a
n
d
a
rti
f
icia
l
in
telli
g
e
n
c
e
.
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