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e
an
y
p
r
iv
ac
y
co
n
f
lict
s
w
h
ich
m
a
y
ar
is
e
d
u
e
to
th
e
d
if
f
er
i
n
g
u
s
er
o
p
in
io
n
w
it
h
r
esp
ec
t to
a
s
h
ar
e
d
d
ata
item
.
Ma
n
y
a
u
t
h
o
r
s
h
a
v
e
co
n
d
u
cted
r
esear
ch
w
o
r
k
an
d
p
r
o
p
o
s
ed
m
o
d
el
s
i
n
o
r
d
er
to
ac
h
iev
e
co
llab
o
r
ativ
e
p
r
iv
ac
y
m
an
a
g
e
m
en
t
o
f
s
h
ar
e
d
d
ata
item
s
i
n
OSN
s
.
Si
n
d
h
u
an
d
B
h
u
v
a
n
e
s
w
ar
i
s
u
m
m
ar
izes
a
s
u
r
v
e
y
th
e
y
h
av
e
co
n
d
u
cted
o
n
v
ar
io
u
s
te
ch
n
iq
u
es
a
n
d
alg
o
r
ith
m
s
p
r
o
p
o
s
ed
b
y
d
if
f
er
e
n
t
r
esear
ch
er
s
an
d
co
n
clu
d
ed
th
a
t
th
er
e
is
a
lac
k
o
f
m
u
ltip
ar
t
y
p
r
iv
ac
y
m
a
n
a
g
e
m
e
n
t
s
u
p
p
o
r
t
o
f
f
er
ed
b
y
th
e
OSN
s
d
u
e
to
w
h
ic
h
u
s
er
s
ar
e
u
n
ab
le
to
co
n
tr
o
l
w
h
ic
h
d
ata
ite
m
s
s
h
o
u
ld
b
e
v
is
ib
le
o
r
s
h
ar
ed
to
th
e
tar
g
eted
au
d
ie
n
ce
[
5
]
.
R
at
h
o
r
e
an
d
So
m
an
at
h
p
r
o
p
o
s
es
a
co
llab
o
r
ativ
e
ac
ce
s
s
co
n
tr
o
l
f
o
r
O
SN
(
C
AC
O)
m
o
d
el
th
a
t
u
s
es
t
h
e
d
eg
r
ee
o
f
in
ti
m
ac
y
b
et
w
ee
n
th
e
r
elate
d
p
ar
ties
v
iz.
t
h
e
s
t
a
k
eh
o
ld
er
s
an
d
th
e
r
eq
u
e
s
ti
n
g
u
s
er
s
to
d
eter
m
i
n
e
t
h
e
ac
ce
s
s
d
e
cisi
o
n
[
6
]
.
Hu
,
A
h
n
an
d
J
o
r
g
en
s
a
n
f
o
r
m
u
lated
a
m
u
ltip
ar
t
y
ac
ce
s
s
co
n
tr
o
l
(
MP
A
C
)
m
o
d
el
as
w
ell
as
a
m
u
ltip
ar
t
y
p
o
lic
y
s
p
ec
if
icatio
n
s
ch
e
m
e.
T
h
e
y
al
s
o
i
m
p
le
m
e
n
ted
a
p
r
o
o
f
-
of
-
co
n
ce
p
t
p
r
o
to
ty
p
e
ca
ll
ed
‘
MCo
n
tr
o
ller
’
w
h
ic
h
to
o
k
in
to
co
n
s
id
er
atio
n
t
h
e
co
n
te
n
t
s
e
n
s
iti
v
it
y
lev
e
l
as
s
ig
n
ed
b
y
th
e
co
-
o
w
n
er
s
o
f
t
h
e
s
h
a
r
ed
d
ata
ite
m
an
d
th
e
w
ei
g
h
ts
as
s
ig
n
ed
to
t
h
e
m
u
ltip
le
p
ar
ties
b
y
th
e
o
w
n
er
o
f
th
e
s
h
ar
ed
d
ata
ite
m
[
7
]
.
Su
c
h
an
d
C
r
iad
o
d
is
cu
s
s
th
e
li
m
ited
s
u
p
p
o
r
t
f
o
r
m
u
lti
p
ar
ty
p
r
iv
ac
y
o
f
f
er
ed
b
y
v
ar
i
o
u
s
OSN
s
a
n
d
th
e
s
tr
ateg
ie
s
th
at
u
s
er
s
f
o
llo
w
to
o
v
er
co
m
e
t
h
e
l
i
m
itatio
n
s
.
As
a
r
esu
l
t
o
f
t
h
eir
s
tu
d
y
,
t
h
e
y
o
u
tlin
e
a
s
e
t
o
f
r
eq
u
ir
e
m
en
ts
to
d
esig
n
a
n
d
d
ev
elo
p
m
u
ltip
ar
t
y
p
r
i
v
ac
y
m
a
n
ag
e
m
en
t
to
o
ls
[
8
]
.
I
n
an
o
t
h
er
p
ap
er
,
th
e
y
p
r
ese
n
t
a
m
ec
h
an
i
s
m
to
d
etec
t
p
r
iv
ac
y
co
n
f
lic
ts
in
OSN
s
a
n
d
r
eso
l
v
e
th
e
m
u
s
in
g
a
m
ed
iato
r
.
T
h
e
m
ed
iato
r
d
eter
m
in
e
s
i
f
a
c
o
n
f
lic
t
e
x
is
t
s
b
ased
o
n
th
e
p
r
iv
ac
y
p
o
licies
a
s
s
o
c
iated
w
ith
a
s
h
ar
ed
d
ata
ite
m
an
d
atte
m
p
t
to
p
r
o
v
id
e
a
s
o
l
u
tio
n
if
a
co
n
f
lict
ex
is
t
s
[
9
]
.
A
l
i
et.
al.
p
r
o
p
o
s
e
s
a
f
r
a
m
e
w
o
r
k
w
h
ic
h
i
n
tr
o
d
u
ce
s
a
n
ac
ce
s
s
m
an
a
g
e
m
en
t
s
er
v
er
.
T
h
e
s
er
v
er
ac
ts
as
a
m
id
d
le
w
ar
e
b
et
w
ee
n
th
e
u
s
er
s
an
d
t
h
e
OSN
s
er
v
e
r
.
T
h
eir
f
r
a
m
e
w
o
r
k
e
m
p
h
a
s
iz
es
th
e
p
r
o
tectio
n
o
f
u
s
er
p
r
iv
ac
y
f
r
o
m
u
n
a
u
t
h
o
r
ized
u
s
er
s
as
w
e
ll
as
th
e
O
SN
s
er
v
ice
p
r
o
v
id
er
u
s
i
n
g
c
r
y
p
to
g
r
ap
h
ic
b
ased
tech
n
iq
u
es [
1
0
]
.
C
h
e
n
g
,
P
ar
k
an
d
San
d
h
u
in
te
g
r
ates
at
tr
ib
u
te
-
b
ased
p
o
licies
in
to
r
elatio
n
s
h
ip
-
b
ased
ac
ce
s
s
co
n
tr
o
l
(
R
eB
AC
)
in
o
r
d
er
to
en
h
an
ce
ac
ce
s
s
co
n
tr
o
l
ca
p
ab
ilit
y
an
d
allo
w
f
i
n
er
-
g
r
ain
ed
co
n
t
r
o
l
w
h
ic
h
ar
e
n
o
t
av
ailab
le
b
y
s
i
m
p
le
u
s
in
g
R
e
B
A
C
[
1
1
]
.
T
h
e
r
esear
ch
b
y
S
h
an
et.
al.
p
r
o
p
o
s
es
a
n
attr
ib
u
te
an
d
r
elatio
n
s
h
ip
-
b
ased
h
y
b
r
id
ac
ce
s
s
co
n
tr
o
l
(
HAC)
m
o
d
el
f
o
r
OSNs
b
ased
o
n
p
o
licy
la
n
g
u
a
g
e
an
d
p
ath
ch
ec
k
in
g
[
1
2
]
.
C
ar
m
i
n
ati,
Fer
r
ar
i
an
d
P
er
eg
o
p
r
ese
n
ted
an
ac
ce
s
s
co
n
tr
o
l
m
o
d
el
f
o
r
w
eb
b
ased
s
o
cial
n
et
w
o
r
k
s
.
I
n
t
h
eir
m
o
d
el,
t
h
e
p
o
licies
ar
e
f
o
r
m
ed
as
a
r
esu
lt
o
f
co
n
s
tr
ain
t
s
o
n
th
e
t
y
p
e
o
f
r
elatio
n
s
h
ip
w
h
ic
h
ex
is
t
b
et
w
ee
n
u
s
er
s
as
w
el
l
as
th
e
d
ep
th
o
f
th
e
r
ela
tio
n
s
h
ip
[
1
3
]
.
I
n
an
o
th
er
p
ap
er
,
C
ar
m
in
a
ti
an
d
Fer
r
ar
i
p
r
o
p
o
s
e
a
s
o
lu
tio
n
w
h
ic
h
u
s
e
s
cr
y
p
to
g
r
ap
h
ic
a
n
d
d
ig
it
al
s
ig
n
at
u
r
e
tech
n
iq
u
e
s
to
en
s
u
r
e
t
h
at
th
e
p
r
iv
ac
y
o
f
t
h
e
u
s
er
s
i
s
g
u
ar
an
teed
d
u
r
in
g
th
e
co
llab
o
r
atio
n
p
r
o
ce
s
s
[
1
4
]
.
Nith
y
a
S.
J
o
s
ep
h
d
is
cu
s
s
es
a
m
et
h
o
d
f
o
r
co
llab
o
r
ati
v
e
d
ata
s
h
ar
i
n
g
a
s
w
ell
a
s
a
m
e
th
o
d
to
r
eso
lv
e
p
r
iv
ac
y
co
n
f
l
icts
to
en
s
u
r
e
b
etter
p
r
o
tectio
n
ag
ain
s
t c
o
llu
s
io
n
at
tack
s
[
1
5
]
.
I
n
th
eir
p
ap
er
,
R
ath
o
r
e
an
d
T
r
ip
ath
y
p
r
o
p
o
s
e
a
tr
u
s
t
-
b
ased
ac
ce
s
s
c
o
n
tr
o
l
tech
n
iq
u
e
to
allo
w
o
r
d
is
allo
w
t
h
e
s
h
ar
in
g
o
f
th
e
r
eso
u
r
ce
tak
in
g
i
n
to
co
n
s
id
er
a
tio
n
t
h
e
au
t
h
o
r
izati
o
n
r
eq
u
ir
e
m
e
n
ts
o
f
all
t
h
e
m
u
ltip
le
p
ar
ties
an
d
an
al
y
ze
s
t
h
e
p
r
iv
ac
y
r
i
s
k
o
f
th
e
m
o
d
el
[
1
6
]
.
W
is
h
ar
t e
t.a
l.
p
r
o
p
o
s
es a
p
r
iv
ac
y
-
a
w
ar
e
s
o
cial
n
et
w
o
r
k
i
n
g
s
er
v
ic
e
an
d
th
en
i
n
tr
o
d
u
ce
a
co
llab
o
r
ativ
e
ap
p
r
o
ac
h
to
au
th
o
r
in
g
p
r
iv
ac
y
p
o
licies
f
o
r
th
e
s
er
v
i
ce
.
T
h
eir
ap
p
r
o
ac
h
co
n
s
id
er
s
t
h
e
n
ee
d
s
o
f
all
p
a
r
ties
af
f
ec
ted
b
y
co
n
ten
t
a
n
d
in
f
o
r
m
atio
n
d
i
s
clo
s
ed
[
1
7
]
.
Xu
et.
al.
p
r
o
p
o
s
es
a
tr
u
s
t
-
b
ased
m
ec
h
an
is
m
to
r
ea
lize
co
llab
o
r
ativ
e
p
r
iv
ac
y
m
an
a
g
e
m
en
t.
I
n
th
eir
m
o
d
el,
th
e
u
s
er
m
a
k
es
th
e
d
ec
is
io
n
o
f
w
h
e
t
h
er
o
r
n
o
t
to
p
o
s
t
a
d
ata
ite
m
b
ased
o
n
th
e
a
g
g
r
e
g
ated
r
esp
o
n
s
e
s
o
f
t
h
e
u
s
er
s
r
elate
d
to
th
e
d
ata
ite
m
.
T
h
e
w
ei
g
h
t
f
ac
to
r
w
h
ic
h
h
a
s
b
ee
n
co
n
s
id
er
ed
is
th
e
tr
u
s
t
v
al
u
e
b
et
wee
n
th
e
u
s
er
s
,
an
d
th
e
v
al
u
es
ar
e
u
p
d
ated
ac
co
r
d
in
g
to
u
s
er
s
’
p
r
i
v
ac
y
lo
s
s
[
1
8
]
.
A
k
k
u
z
u
,
A
ziz
an
d
A
d
d
a
u
s
es
f
u
zz
y
lo
g
ic
r
u
le
s
to
d
eter
m
in
e
ac
ce
s
s
to
a
s
h
ar
ed
d
ata
ite
m
b
ased
o
n
th
e
co
n
te
n
t
s
en
s
iti
v
it
y
o
f
t
h
e
d
ata
ite
m
an
d
th
e
co
n
f
id
en
ce
th
at
t
h
e
co
-
o
w
n
er
s
h
a
v
e
o
n
t
h
e
o
w
n
er
o
f
t
h
e
d
ata
ite
m
[
1
9
]
.
I
n
th
i
s
p
ap
er
,
a
co
llab
o
r
ativ
e
m
o
d
el
is
p
r
o
p
o
s
ed
in
w
h
ich
th
e
f
u
zz
y
lo
g
ic
r
u
les
w
i
ll
b
e
b
ased
o
n
th
e
m
ea
n
co
n
te
n
t
s
e
n
s
itiv
it
y
l
ev
el
o
f
t
h
e
s
h
ar
ed
d
ata
ite
m
a
n
d
th
e
m
ea
n
co
n
f
id
en
ce
t
h
at
t
h
e
co
-
o
w
n
er
s
h
a
v
e
o
n
t
h
e
ac
ce
s
s
o
r
o
f
th
e
d
ata
ite
m
.
T
h
e
m
o
d
el
t
h
u
s
r
e
m
o
v
es
co
m
p
lete
p
r
ef
er
en
ce
g
i
v
e
n
to
t
h
e
o
w
n
er
o
f
th
e
s
h
ar
ed
d
ata
ite
m
[
2
0
]
an
d
allo
w
s
co
-
o
w
n
er
s
a
f
air
c
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2.
P
RO
P
O
SE
D
M
O
DE
L
T
h
is
s
ec
tio
n
d
escr
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2
.
1
.
Def
ini
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T
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2
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w
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D.
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p
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licies
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PP
(
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A
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ar
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A
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m
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d
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ass
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m
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t
h
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o
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,
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m
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’
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d
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Sh
ar
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T
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ar
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at
tr
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B
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ter
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f
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p
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2
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A)
i
s ‘P
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r
mi
t
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1
6
.
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F
C
S
L
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(D)
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7
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C
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L
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m
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1
8
.
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d
C
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D
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A)
i
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M
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d
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u
m’
T
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PP
c
om
m
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n
t
(
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A)
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1
9
.
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F
C
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L
ne
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s
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D
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A)
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s ‘H
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T
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EN
PP
c
om
m
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n
t
(
D
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A)
i
s ‘M
a
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’
2
0
.
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F
C
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L
ne
an
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s ‘V
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H
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T
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EN
PP
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m
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t
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D
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2
1
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2
3
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2
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m
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s ‘M
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y
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T
ab
le
2
.
Fu
zz
y
m
atr
i
x
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
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0
8
8
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8708
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&
C
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p
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,
Vo
l.
10
,
No
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4
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A
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g
u
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t 2
0
2
0
:
3
7
6
7
-
377
6
3772
P
a
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r
s
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V
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V
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w
M
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b
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n
y
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y
D
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n
y
D
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y
L
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w
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t
M
a
y
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e
D
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n
y
D
e
n
y
D
e
n
y
M
e
d
i
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m
P
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t
P
e
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mi
t
M
a
y
b
e
D
e
n
y
D
e
n
y
H
i
g
h
P
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mi
t
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r
mi
t
P
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M
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n
y
V
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y
H
i
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h
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t
P
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r
mi
t
P
e
r
mi
t
P
e
r
mi
t
M
a
y
b
e
2
.
2
.
3
.
Def
uzzif
ica
t
io
n
T
h
is
o
b
j
ec
t
o
f
th
e
d
ef
u
zz
i
f
ic
atio
n
p
r
o
ce
s
s
is
to
o
b
tain
a
cr
is
p
o
u
tp
u
t
v
al
u
e
b
ased
o
n
t
h
e
r
u
le
in
f
er
en
ce
o
b
tain
ed
in
t
h
e
in
f
er
en
ce
p
r
o
ce
s
s
.
Usi
n
g
th
e
cr
is
p
v
alu
e,
a
n
alg
o
r
it
h
m
ca
n
b
e
f
o
r
m
u
lated
in
o
r
d
er
t
o
m
ak
e
th
e
f
i
n
al
d
ec
is
io
n
to
d
eter
m
in
e
a
p
r
iv
ac
y
p
o
lic
y
f
o
r
a
d
ata
ite
m
to
b
e
ac
ce
s
s
ed
b
y
a
n
ac
ce
s
s
o
r
.
T
h
er
e
ar
e
m
an
y
w
a
y
s
to
p
er
f
o
r
m
d
ef
u
z
zif
icatio
n
.
T
h
e
f
u
zz
y
m
o
d
el
d
esig
n
ed
w
i
ll
o
b
tain
th
e
cr
is
p
v
alu
e
b
y
f
o
llo
w
in
g
th
e
ce
n
tr
o
id
tech
n
iq
u
e.
T
h
is
is
ac
h
iev
ed
b
y
:
−
C
o
m
p
u
tin
g
t
h
e
ce
n
tr
o
id
o
f
t
h
e
o
u
tp
u
t
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
s
.
−
L
i
m
iti
n
g
t
h
e
h
eig
h
t
o
f
ea
c
h
m
e
m
b
er
s
h
ip
f
u
n
c
tio
n
b
y
o
b
tain
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n
g
th
e
d
e
g
r
ee
o
f
m
e
m
b
er
s
h
ip
o
f
th
e
r
esp
ec
tiv
e
o
u
tp
u
ts
a
n
d
co
m
p
u
t
in
g
t
h
e
r
es
u
lti
n
g
ar
ea
.
−
C
o
m
p
u
tin
g
t
h
e
w
ei
g
h
ted
a
v
er
ag
e
o
f
t
h
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ce
n
tr
o
id
s
u
s
i
n
g
t
h
e
co
m
p
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ted
ar
ea
s
.
3.
RE
S
E
ARCH
M
E
T
H
O
D
T
h
e
f
o
llo
w
i
n
g
alg
o
r
it
h
m
1
g
i
v
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a
n
o
v
er
v
ie
w
o
f
th
e
s
tep
s
w
h
ic
h
w
ill
b
e
f
o
llo
w
ed
b
y
t
h
e
m
o
d
el
to
d
eter
m
in
e
t
h
e
r
eso
lu
tio
n
o
f
t
h
e
p
r
iv
ac
y
p
o
licies
o
f
th
e
co
-
o
w
n
er
s
o
f
th
e
g
iv
e
n
s
h
ar
ed
d
at
a
ite
m
.
T
h
e
p
r
o
ce
s
s
f
ir
s
t
b
e
g
in
s
w
h
en
t
h
e
co
-
o
w
n
e
r
s
o
f
th
e
s
h
ar
ed
d
ata
ite
m
D
d
eter
m
i
n
es
it
s
co
n
te
n
t
s
e
n
s
iti
v
it
y
f
r
o
m
a
r
an
g
e
o
f
0
to
1
0
,
0
d
en
o
tin
g
e
x
tr
e
m
el
y
lo
w
co
n
te
n
t
s
e
n
s
iti
v
it
y
an
d
1
0
d
en
o
tin
g
e
x
tr
e
m
el
y
h
i
g
h
co
n
te
n
t
s
en
s
iti
v
it
y
.
Af
ter
s
etti
n
g
t
h
e
co
n
ten
t
s
e
n
s
it
iv
i
t
y
o
f
D,
co
-
o
w
n
er
s
w
ill
p
r
o
ce
ed
to
d
eter
m
i
n
e
t
h
e
co
n
f
id
e
n
ce
l
ev
el
o
f
a
n
ac
ce
s
s
o
r
b
ased
o
n
th
e
ty
p
e
o
f
r
elatio
n
s
h
ip
b
et
w
ee
n
th
e
ac
ce
s
s
o
r
an
d
th
e
r
esp
ec
tiv
e
co
-
o
w
n
er
;
f
o
r
ex
a
m
p
le,
‘
f
r
ie
n
d
s
’
,
‘
f
r
ien
d
s
o
f
f
r
ien
d
s
’
,
‘
f
a
m
i
l
y
’
,
‘
clo
s
e
f
r
ien
d
s
’
,
etc.
T
h
e
v
alu
e
s
o
f
t
h
e
co
n
f
id
e
n
ce
lev
e
l
w
ill
r
an
g
e
b
et
w
ee
n
0
%
an
d
1
0
0
%;
0
%
d
e
n
o
tin
g
n
o
c
o
n
f
id
e
n
ce
a
n
d
1
0
0
%
d
en
o
t
i
n
g
f
u
ll
co
n
f
id
en
ce
.
T
h
e
co
-
o
w
n
er
s
w
ill
as
s
ig
n
ea
c
h
g
r
o
u
p
o
f
ac
ce
s
s
o
r
s
a
v
alu
e
w
h
ic
h
d
en
o
tes
h
o
w
m
u
c
h
h
e
o
r
s
h
e
co
n
s
id
er
s
a
p
a
r
ticu
lar
g
r
o
u
p
o
f
ac
ce
s
s
o
r
s
tr
u
s
t
w
o
r
t
h
y
to
ac
ce
s
s
o
r
p
er
f
o
r
m
ac
tio
n
s
o
n
D.
T
h
e
al
g
o
r
ith
m
w
i
ll
t
h
u
s
ca
lcu
late
t
h
e
m
ea
n
co
n
te
n
t
s
e
n
s
it
iv
i
t
y
an
d
m
ea
n
co
n
f
id
en
ce
le
v
el
wh
ich
w
il
l
b
e
u
s
ed
a
s
cr
i
s
p
i
n
p
u
ts
to
t
h
e
f
u
zz
y
m
o
d
el.
On
t
h
e
b
asis
o
f
th
e
cr
is
p
in
p
u
t
s
,
p
r
e
-
d
ef
i
n
ed
r
u
les
an
d
th
e
r
elev
a
n
t
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
s
,
th
e
f
u
zz
y
m
o
d
el
w
ill
m
ak
e
a
n
in
f
er
en
ce
.
I
f
t
h
e
i
n
f
er
e
n
ce
i
s
‘
DE
NY
’
o
r
‘
P
E
R
M
I
T
’
,
ac
ce
s
s
to
th
e
r
esp
ec
tiv
e
p
r
i
v
ac
y
p
o
lic
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w
i
ll
d
en
ied
o
r
p
er
m
itted
r
esp
ec
tiv
el
y
.
Ho
w
e
v
er
,
if
th
e
in
f
er
e
n
ce
is
‘
M
AYB
E
’
,
th
e
m
o
d
el
w
il
l
p
r
o
ce
ed
t
o
ap
p
ly
d
ef
u
zz
i
f
icatio
n
an
d
f
i
n
d
a
cr
is
p
o
u
tp
u
t.
I
f
t
h
e
cr
i
s
p
o
u
tp
u
t
i
s
les
s
t
h
an
th
e
m
e
an
ce
n
tr
o
id
v
alu
e
o
f
‘
M
A
YB
E
’
an
d
‘
P
E
R
MI
T
’
o
u
tp
u
t
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
s
,
th
en
th
e
f
i
n
al
d
ec
is
io
n
f
o
r
t
h
e
r
esp
ec
tiv
e
p
r
iv
ac
y
p
o
lic
y
will
b
e
‘
DE
NY
’
,
o
r
else th
e
f
i
n
al
d
ec
is
io
n
w
i
ll b
e
‘
P
E
R
MI
T
’
.
Fig
u
r
e
5
s
h
o
w
s
a
3
-
d
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m
e
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io
n
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p
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t o
f
t
h
e
f
u
zz
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el
p
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p
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.
Alg
o
rit
h
m
1
.
Mo
d
el
w
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r
k
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et
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: Sh
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Data
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m
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:
A
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s
s
o
r
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f
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h
ar
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Data
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te
m
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C
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it
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er
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R
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ateO
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HE
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Evaluation Warning : The document was created with Spire.PDF for Python.
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3773
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r
e
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Dim
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ed
4.
RE
SU
L
T
AND
DI
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SI
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NS
T
h
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.
1
.
M
o
del e
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lua
t
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I
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th
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s
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io
,
B
o
b
,
Ma
r
y
,
A
lice
a
n
d
J
o
h
n
ar
e
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o
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r
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n
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o
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ar
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a
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f
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ll
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ile
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o
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h
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m
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o
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y
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o
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.
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v
en
th
o
u
g
h
B
o
b
h
as
n
o
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n
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r
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s
o
f
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ak
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h
e
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r
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p
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c,
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d
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o
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n
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to
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it
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s
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ac
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t
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it
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f
r
o
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t
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o
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s
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ip
s
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y
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av
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w
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i
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t
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s
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s
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th
e
y
s
et
t
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f
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d
if
f
er
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n
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g
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p
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o
f
ac
ce
s
s
o
r
s
.
T
ab
le
3
s
h
o
w
s
a
s
a
m
p
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s
e
t o
f
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s
ib
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t
s
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r
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m
B
o
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o
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n
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th
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u
tp
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T
ab
le
4
s
h
o
w
s
a
s
a
m
p
le
s
et
o
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co
n
f
id
en
ce
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s
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e
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o
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r
co
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er
s
f
o
r
d
i
f
f
er
en
t
g
r
o
u
p
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f
ac
ce
s
s
o
r
s
.
D
u
r
in
g
t
h
e
r
etr
iev
a
l
o
f
s
h
ar
ed
d
ata
co
n
te
n
t
i
n
a
n
ac
c
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o
r
s
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f
ee
d
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t
h
e
m
o
d
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w
ill
e
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alu
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te
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o
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d
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m
in
e
th
e
ap
p
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o
p
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ac
ce
s
s
.
T
ab
le
5
s
h
o
w
s
t
h
e
m
ea
n
co
n
f
id
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lev
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f
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n
a
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ac
k
w
h
o
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ac
ce
s
s
o
r
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T
ab
le
6
s
u
m
m
ar
ize
s
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h
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d
if
f
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en
t o
u
tp
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o
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e
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p
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ce
s
s
(
r
ef
er
t
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th
e
r
u
le
s
f
o
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th
e
‘
C
o
m
m
e
n
t
P
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lic
y
’
i
n
T
ab
le
1
)
.
B
ased
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tp
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t
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ed
,
t
h
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m
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d
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w
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g
g
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ate
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n
th
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s
ce
n
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,
th
e
m
o
d
el
m
a
k
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an
in
f
er
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f
‘
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a
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it
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e
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ig
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ip
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s
.
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p
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cr
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p
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u
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ter
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er
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o
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m
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d
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i
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icatio
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o
f
t
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s
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g
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ted
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4
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4
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ased
o
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s
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ts
.
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e
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er
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t
h
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n
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al
g
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ith
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at
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o
r
t
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e
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h
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o
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o
h
n
a
n
d
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Y’
.
A
s
a
r
es
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lt,
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ac
k
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n
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m
m
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n
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o
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e
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h
ar
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ata
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m
D.
S
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m
ilar
l
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d
i
f
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er
en
t
r
u
le
s
ca
n
b
e
ap
p
lied
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o
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th
e
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,
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
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‘
R
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,
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S
h
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e
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’
o
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n
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o
licie
s
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d
a
n
i
n
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e
n
ce
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n
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e
m
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to
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eso
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e
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e
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p
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lic
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f
o
r
a
s
h
ar
ed
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ata
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f
o
r
an
y
a
cc
ess
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r
eq
u
esti
n
g
ac
ce
s
s
.
T
ab
le
3
.
Sam
p
le
i
n
p
u
ts
S
.
N
.
N
a
me
o
f
C
o
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o
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n
e
r
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e
n
si
t
i
v
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t
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l
e
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l
(
0
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10)
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e
a
n
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o
n
t
e
n
t
se
n
si
t
i
v
i
t
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o
f
sh
a
r
e
d
d
a
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a
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t
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m D
1.
B
o
b
3
.
0
6
.
0
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M
a
r
y
7
.
0
3.
Jo
h
n
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.
0
4.
A
l
i
c
e
8
.
0
T
ab
le
4
.
Sam
p
le
co
n
f
id
en
ce
le
v
el
in
p
u
ts
S
.
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.
N
a
me
o
f
C
o
-
o
w
n
e
r
R
e
l
a
t
i
o
n
s
h
i
p
w
i
t
h
a
c
c
e
sso
r
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o
n
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e
n
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e
/
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st
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e
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e
l
(
0
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%)
1.
B
o
b
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e
l
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o
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c
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f
f
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s
6
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F
r
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s
9
0
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4.
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l
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se
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e
n
d
s
1
0
0
%
5.
M
a
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y
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t
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n
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u
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l
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c
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2
0
%
6.
F
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n
d
s o
f
f
r
i
e
n
d
s
4
0
%
7.
F
r
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e
n
d
s
5
0
%
8.
C
l
o
se
f
r
i
e
n
d
s
7
0
%
9.
Jh
o
n
N
o
r
e
l
a
t
i
o
n
(
p
u
b
l
i
c
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3
0
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1
0
.
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r
i
e
n
d
s o
f
f
r
i
e
n
d
s
5
5
%
1
1
.
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r
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e
n
d
s
6
0
%
1
2
.
C
l
o
se
f
r
i
e
n
d
s
7
0
%
1
3
.
A
l
i
c
e
N
o
r
e
l
a
t
i
o
n
(
p
u
b
l
i
c
)
1
0
%
1
4
.
F
r
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e
n
d
s o
f
f
r
i
e
n
d
s
2
0
%
1
5
.
F
r
i
e
n
d
s
4
5
%
1
6
.
C
l
o
se
f
r
i
e
n
d
s
5
5
%
T
ab
le
5
.
Me
an
co
n
f
id
en
ce
le
v
el
ca
lcu
latio
n
f
o
r
ac
ce
s
s
o
r
j
ac
k
S
.
N
.
N
a
me
o
f
C
o
-
o
w
n
e
r
R
e
l
a
t
i
o
n
s
h
i
p
w
i
t
h
J
a
c
k
C
o
n
f
i
d
e
n
c
e
/
t
r
u
st
l
e
v
e
l
M
e
a
n
c
o
n
f
i
d
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1.
B
o
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5
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6
.
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(
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33
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33
4
.
2
.
Ana
ly
s
is
a
nd
d
is
cu
s
s
io
n
s
Giv
e
n
th
e
a
m
o
u
n
t
o
f
v
ar
ian
c
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u
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’
o
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w
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th
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ar
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eter
m
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s
iti
v
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tr
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w
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m
o
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el
o
f
f
er
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s
e
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al
ad
v
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ta
g
es.
T
h
e
m
o
d
el
f
ir
s
t
l
y
,
ta
k
es
in
to
co
n
s
id
er
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e
v
er
y
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s
er
o
r
s
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k
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ld
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w
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ce
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w
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h
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ata
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d
n
o
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j
u
s
t
th
at
o
f
th
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o
w
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h
is
s
o
lv
e
s
th
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cu
r
r
en
t
p
r
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b
lem
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n
OSN
s
w
h
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th
e
o
w
n
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o
f
th
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d
ata
ca
n
s
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ar
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n
ten
t
to
a
w
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ie
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ce
w
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h
li
m
ited
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estrictio
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s
.
An
o
th
er
n
o
tab
le
d
if
f
er
en
ce
i
n
th
is
m
o
d
el
f
r
o
m
o
t
h
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i
m
p
le
m
en
tatio
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s
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t
w
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h
i
n
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f
t
h
e
d
ata
o
w
n
e
r
(
e.
g
.
in
[
1
8
]
)
,
it
d
eter
m
in
e
s
t
h
e
tr
u
s
t
w
o
r
t
h
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w
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g
to
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s
t
h
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d
ata
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m
.
As
a
r
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,
co
-
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w
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er
s
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f
th
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s
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ar
ed
d
ata
ar
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p
r
o
v
id
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d
a
s
af
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u
ar
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to
lim
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t
th
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i
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ilit
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o
f
t
h
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co
n
ten
t
f
r
o
m
th
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n
in
ten
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ed
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ien
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ca
s
e
th
e
y
f
i
n
d
it
s
en
s
iti
v
e
i
n
n
atu
r
e.
I
n
t
er
m
s
o
f
u
s
ab
ilit
y
,
th
e
i
m
p
le
m
e
n
tatio
n
o
f
th
i
s
m
o
d
el
eli
m
in
a
tes
t
h
e
r
ev
ie
w
o
f
t
h
e
d
ata
o
w
n
er
’
s
p
r
iv
ac
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s
ett
in
g
s
ev
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y
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m
e
h
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o
r
s
h
e
d
is
s
e
m
in
a
tes
a
s
h
ar
ed
d
at
a
ite
m
.
B
y
a
ttrib
u
ti
n
g
th
e
co
n
f
id
en
ce
le
v
el
to
t
h
e
ac
ce
s
s
o
r
in
s
tead
o
f
th
e
d
ata
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w
n
er
,
it
is
ea
s
ier
f
o
r
th
e
u
s
er
s
to
s
et
u
p
d
ef
au
lt
p
r
iv
ac
y
co
n
f
ig
u
r
atio
n
s
f
o
r
ev
er
y
a
cc
ess
o
r
b
ased
o
n
th
eir
r
elatio
n
s
h
ip
w
it
h
th
e
r
esp
ec
tiv
e
u
s
er
.
T
h
e
m
o
d
el
ca
n
f
u
r
th
er
b
e
en
h
a
n
ce
d
b
y
en
f
o
r
cin
g
f
i
n
e
-
g
r
ai
n
ed
co
n
tr
o
ls
[
2
5
]
to
i
m
p
r
o
v
e
t
h
e
p
er
f
o
r
m
a
n
ce
.
T
h
e
m
o
d
el
co
u
ld
also
p
o
ten
tiall
y
b
e
i
n
te
g
r
a
ted
w
i
th
ad
v
a
n
ce
d
f
ac
ial
r
ec
o
g
n
itio
n
al
g
o
r
ith
m
s
[
2
6
,
2
7
]
w
h
er
ein
t
h
e
r
esu
lts
o
f
th
e
m
o
d
el
co
u
ld
d
eter
m
i
n
e
w
h
et
h
er
tag
s
s
h
o
u
ld
b
e
g
en
er
ated
au
to
m
atica
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y
o
r
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o
t f
o
r
th
e
r
esp
ec
ti
v
e
u
s
er
b
ased
o
n
h
is
o
r
h
er
p
r
iv
ac
y
p
o
lic
y
p
r
ef
er
en
ce
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
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5.
CO
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So
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s
es.
RE
F
E
R
E
NC
E
S
[1
]
K.
L
ian
g
,
J.
K.
L
iu
,
R.
L
u
a
n
d
D.
S
.
W
o
n
g
,
“
P
riv
a
c
y
Co
n
c
e
rn
s
f
o
r
P
h
o
to
S
h
a
ri
n
g
in
On
li
n
e
S
o
c
ial
Ne
tw
o
rk
s,
”
in
IEE
E
In
ter
n
e
t
Co
mp
u
ti
n
g
,
v
o
l.
1
9
,
n
o
.
2
,
p
p
.
5
8
-
6
3
,
2
0
1
5
.
DO
I:
1
0
.
1
1
0
9
/M
IC.
2
0
1
4
.
1
0
7
[2
]
M
.
S
m
it
h
,
C.
S
z
o
n
g
o
tt
,
B
.
He
n
n
e
a
n
d
G
.
v
o
n
V
o
ig
t,
“
Big
d
a
ta
p
riv
a
c
y
issu
e
s
in
p
u
b
li
c
so
c
ial
m
e
d
ia,”
2
0
1
2
6
t
h
IEE
E
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
Dig
it
a
l
Eco
sy
ste
ms
a
n
d
T
e
c
h
n
o
lo
g
ies
(
DES
T
),
Ca
mp
i
o
n
e
d
'
I
ta
li
a
,
p
p
.
1
-
6
,
2
0
1
2
.
DO
I:
1
0
.
1
1
0
9
/D
ES
T
.
2
0
1
2
.
6
2
2
7
9
0
9
.
[3
]
Y.
L
iu
a
n
d
N.
L
i,
“
Re
tri
e
v
in
g
Hid
d
e
n
F
rien
d
s:
A
Co
ll
u
sio
n
P
riv
a
c
y
A
tt
a
c
k
a
g
a
in
st
On
li
n
e
F
rien
d
S
e
a
rc
h
En
g
in
e
,
”
in
IEE
E
T
ra
n
s
a
c
ti
o
n
s
o
n
I
n
fo
rm
a
ti
o
n
F
o
re
n
sic
s
a
n
d
S
e
c
u
rity
,
v
o
l.
1
4
,
n
o
.
4
,
p
p
.
8
3
3
-
8
4
7
,
A
p
r.
2
0
1
9
.
DO
I:
1
0
.
1
1
0
9
/T
IF
S
.
2
0
1
8
.
2
8
6
6
3
0
9
.
[4
]
H.
G
a
o
,
J.
Hu
,
T
.
Hu
a
n
g
,
J.
W
a
n
g
a
n
d
Y.
C
h
e
n
,
“
S
e
c
u
rit
y
Iss
u
e
s
in
O
n
li
n
e
S
o
c
ial
Ne
tw
o
rk
s,”
in
IEE
E
In
ter
n
e
t
Co
mp
u
t
in
g
,
v
o
l
.
1
5
,
n
o
.
4
,
p
p
.
5
6
-
6
3
,
J
u
l
-
A
u
g
.
2
0
1
1
.
DO
I:
1
0
.
1
1
0
9
/
M
IC.
2
0
1
1
.
5
0
.
[5
]
S
in
d
h
u
S
.
,
a
n
d
Bh
u
v
a
n
e
sw
a
ri
A
.
,
“
A
S
u
rv
e
y
o
n
M
u
lt
i
-
P
a
rty
P
riv
a
c
y
Co
n
f
li
c
ts
in
On
li
n
e
S
o
c
ial
Ne
tw
o
rk
s,”
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
A
d
v
a
n
c
e
d
En
g
i
n
e
e
rin
g
a
n
d
Glo
b
a
l
T
e
c
h
n
o
lo
g
y
,
v
o
l.
0
4
,
n
o
.
0
4
,
p
p
.
2
0
7
3
-
2
0
7
9
,
2
0
1
6
.
[6
]
Ra
th
o
re
,
Ne
m
i
a
n
d
S
o
m
a
n
a
th
,
Tri
p
a
th
y
,
“
Co
ll
a
b
o
ra
ti
v
e
a
c
c
e
ss
c
o
n
tro
l
m
o
d
e
l
f
o
r
OSN,
”
6
th
IEE
E
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
Ad
v
a
n
c
e
d
C
o
mp
u
t
in
g
,
At
B
h
ima
v
a
ra
m A
n
d
ra
Pra
d
e
sh
In
d
ia
,
2
0
1
6
.
[7
]
Hu
Ho
n
g
x
in
,
A
h
n
,
G
a
il
-
Jo
o
n
a
n
d
Jo
rg
e
n
se
n
,
“
M
u
lt
ip
a
rty
Ac
c
e
ss
Co
n
tr
o
l
f
o
r
On
li
n
e
S
o
c
ial
Ne
tw
o
rk
s:
M
o
d
e
l
a
n
d
M
e
c
h
a
n
ism
s.
Kn
o
w
led
g
e
a
n
d
Da
ta E
n
g
in
e
e
rin
g
,
”
IEE
E
T
r
a
n
sa
c
ti
o
n
s o
n
Kn
o
w
led
g
e
a
n
d
Da
t
a
E
n
g
i
n
e
e
rin
g
,
v
o
l.
2
5
,
n
o
.
7
,
p
p
.
1
6
1
4
-
1
6
2
7
,
2
0
1
3
.
[8
]
S
u
c
h
Jo
se
a
n
d
Cr
iad
o
Na
talia,
“
M
u
lt
i
p
a
rty
P
riv
a
c
y
in
S
o
c
ial
M
e
d
ia,”
Co
mm
u
n
ica
ti
o
n
s
o
f
th
e
AC
M
,
v
o
l.
6
1
,
n
o
.
8
,
p
p
.
7
4
-
8
1
,
2
0
1
8
.
[9
]
S
u
c
h
Jo
se
a
n
d
Criad
o
Na
talia,
“
Re
so
lv
in
g
M
u
lt
i
-
P
a
rty
P
r
iv
a
c
y
C
o
n
f
li
c
ts
in
S
o
c
ial
M
e
d
ia,”
IE
EE
T
ra
n
sa
c
ti
o
n
s
o
n
Kn
o
wled
g
e
a
n
d
D
a
ta
En
g
i
n
e
e
rin
g
,
v
o
l.
2
8
,
n
o
.
7
,
p
p
.
1
-
1
5
,
2
0
1
6
.
[1
0
]
A
li
S
h
a
u
k
a
t,
R
a
u
f
A
z
h
a
r,
Isla
m
Na
v
e
e
d
a
n
d
F
a
rm
a
n
Ha
lee
m
,
“
A
f
ra
m
e
w
o
rk
f
o
r
se
c
u
re
a
n
d
p
r
i
v
a
c
y
p
ro
tec
ted
c
o
ll
a
b
o
ra
ti
v
e
c
o
n
ten
ts sh
a
ri
n
g
u
si
n
g
p
u
b
li
c
OSN,
”
Cl
u
ste
r Co
mp
u
ti
n
g
,
v
o
l.
2
2
,
p
p
.
7
2
7
5
-
7
2
8
6
,
2
0
1
9
.
[1
1
]
Ch
e
n
g
Yu
a
n
,
P
a
rk
Ja
e
h
o
n
g
,
S
a
n
d
h
u
Ra
v
i,
“
A
tt
rib
u
t
e
-
Aw
a
re
Re
la
ti
o
n
s
h
ip
-
Ba
se
d
A
c
c
e
ss
Co
n
tro
l
f
o
r
On
l
in
e
S
o
c
ial
Ne
tw
o
rk
s,”
IFI
P
An
n
u
a
l
Co
n
fer
e
n
c
e
o
n
D
a
ta
a
n
d
Ap
p
li
c
a
ti
o
n
s
S
e
c
u
rity a
n
d
Priva
c
y
,
p
p
.
2
9
2
-
3
0
6
,
2
0
1
4
.
[1
2
]
S
h
a
n
F
a
n
g
f
a
n
g
,
L
i
Hu
i,
L
i
F
e
n
g
h
u
a
,
G
u
o
Yu
n
c
h
u
a
n
,
Niu
Be
n
,
“
HA
C:
H
y
b
rid
A
c
c
e
ss
Co
n
tro
l
f
o
r
On
li
n
e
S
o
c
ial
Ne
tw
o
rk
s,”
S
e
c
u
rity a
n
d
Co
mm
u
n
ica
ti
o
n
Ne
tw
o
rk
s,
v
o
l.
2
0
1
8
,
p
p
.
1
-
1
1
,
2
0
1
8
.
[1
3
]
Ca
r
m
in
a
ti
Ba
rb
a
ra
,
F
e
rra
ri
El
e
n
a
,
P
e
re
g
o
A
n
d
re
a
,
“
Ru
le
-
Ba
se
d
A
c
c
e
ss
Co
n
tro
l
f
o
r
S
o
c
ial
Ne
tw
o
rk
s
,
”
On
th
e
M
o
v
e
to
M
e
a
n
i
n
g
fu
l
In
ter
n
e
t
S
y
ste
ms
2
0
0
6
:
OTM
2
0
0
6
W
o
rk
sh
o
p
s:
O
T
M
Co
n
fed
e
r
a
ted
I
n
ter
n
a
ti
o
n
a
l
W
o
rk
sh
o
p
s
a
n
d
Po
ste
rs
,
AW
e
S
OM
e
,
CAM
S
,
COM
INF,
IS
,
K
S
in
BI
T
,
M
IOS
-
CIA
O,
M
ONET
,
On
T
o
Co
n
ten
t,
OR
M
,
Per
S
y
s,
OTM
Aca
d
e
my
Do
c
to
ra
l
Co
n
so
rti
u
m,
RDDS
,
S
W
W
S
,
a
n
d
S
e
BGIS
2
0
0
6
,
M
o
n
t
p
e
ll
ier,
F
ra
n
c
e
,
Oc
to
b
e
r
2
9
-
No
v
e
m
b
e
r
3
,
2
0
0
6
.
P
ro
c
e
e
d
i
n
g
s,
P
a
rt
II
,
2
0
0
6
.
[1
4
]
Ca
r
m
in
a
ti
Ba
rb
a
ra
,
F
e
rra
ri
E
len
a
,
“
P
r
iv
a
c
y
-
Aw
a
re
Co
ll
a
b
o
ra
ti
v
e
A
c
c
e
ss
Co
n
tro
l
in
W
e
b
-
Ba
se
d
S
o
c
i
a
l
Ne
tw
o
rk
s,
”
IFI
P
An
n
u
a
l
C
o
n
fer
e
n
c
e
o
n
Da
t
a
a
n
d
Ap
p
li
c
a
ti
o
n
s S
e
c
u
rity
a
n
d
Pri
v
a
c
y
,
p
p
.
8
1
-
9
6
,
2
0
0
8
.
[1
5
]
S
a
ra
Jo
se
p
h
Nit
h
y
a
,
“
Co
ll
a
b
o
ra
ti
v
e
d
a
ta
sh
a
rin
g
in
o
n
li
n
e
so
c
ial
n
e
tw
o
rk
re
so
lv
in
g
p
riv
a
c
y
risk
a
n
d
sh
a
rin
g
l
o
ss
,
”
IOS
R
J
o
u
r
n
a
l
o
f
Co
mp
u
ter
E
n
g
i
n
e
e
rin
g
,
v
o
l.
1
6
,
n
o
.
5
,
p
p
.
5
5
-
6
1
,
2
0
1
4
.
[1
6
]
Ra
th
o
re
N.C.
a
n
d
T
rip
a
t
h
y
S
.
,
“
A
tru
st
-
b
a
se
d
c
o
ll
a
b
o
ra
ti
v
e
a
c
c
e
ss
c
o
n
tro
l
m
o
d
e
l
w
it
h
p
o
li
c
y
a
g
g
re
g
a
ti
o
n
f
o
r
o
n
li
n
e
so
c
ial
n
e
tw
o
rk
s,”
S
o
c
ia
l
Ne
tw
o
rk
An
a
lys
is
a
n
d
M
in
i
n
g
,
v
o
l.
7
,
p
p
.
1
-
1
3
,
2
0
1
7
.
[1
7
]
W
ish
a
rt
R
y
a
n
,
Co
ra
p
i
Do
m
e
n
ico
,
M
a
rin
o
v
ic
S
rd
ja
n
,
S
lo
m
a
n
M
o
r
ris,
“
Co
ll
a
b
o
ra
ti
v
e
P
riv
a
c
y
P
o
li
c
y
A
u
th
o
rin
g
in
a
S
o
c
ial
Ne
t
w
o
rk
in
g
Co
n
tex
t,
”
Pro
c
e
e
d
in
g
s
-
2
0
1
0
IEE
E
I
n
ter
n
a
ti
o
n
a
l
S
y
mp
o
siu
m
o
n
Po
l
icie
s
fo
r
Distrib
u
te
d
S
y
ste
ms
a
n
d
Ne
two
rk
s
,
p
p
.
1
–
8
,
2
0
1
0
.
[1
8
]
X
u
L
e
i,
Jia
n
g
Ch
u
n
x
iao
,
He
Ne
n
g
q
ian
g
,
Ha
n
Z
h
u
a
n
d
Be
n
slim
a
n
e
A
b
d
e
rra
h
im
,
“
T
ru
st
-
Ba
se
d
Co
ll
a
b
o
r
a
ti
v
e
P
riv
a
c
y
M
a
n
a
g
e
m
e
n
t
in
On
li
n
e
S
o
c
ial
Ne
tw
o
rk
s,”
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
In
fo
rm
a
ti
o
n
Fo
re
n
sic
s
a
n
d
S
e
c
u
rity
,
v
o
l.
1
4
,
n
o
.
1
,
p
p
.
4
8
-
6
0
,
2
0
1
8
.
[1
9
]
Ak
k
u
z
u
G
u
lsu
m
,
A
z
i
z
Be
n
ja
m
in
a
n
d
A
d
d
a
M
o
,
“
F
u
z
z
y
L
o
g
i
c
De
c
isio
n
Ba
se
d
Co
ll
a
b
o
ra
ti
v
e
P
riv
a
c
y
M
a
n
a
g
e
m
e
n
t
F
ra
m
e
w
o
r
k
f
o
r
On
li
n
e
S
o
c
ial
Ne
t
w
o
rk
s,”
ICIS
S
P
2
0
1
9
,
P
ra
g
u
e
-
C
z
e
c
h
Re
p
u
b
li
c
,
2
0
1
9
.
[2
0
]
Zh
e
n
g
B.
,
e
t
a
l
.
,
“
S
c
a
lab
le
a
n
d
P
riv
a
c
y
-
P
re
se
rv
in
g
D
a
ta
S
h
a
rin
g
Ba
se
d
o
n
Blo
c
k
c
h
a
in
,
”
J
.
Co
m
p
u
t.
S
c
i.
T
e
c
h
n
o
l
.
,
v
o
l.
3
3
,
p
p
.
5
5
7
–
5
6
7
,
2
0
1
8
.
[2
1
]
J.
S
u
n
,
X
.
Zh
u
a
n
d
Y.
F
a
n
g
,
“
A
P
riv
a
c
y
-
P
re
se
rv
in
g
S
c
h
e
m
e
f
o
r
On
li
n
e
S
o
c
ial
Ne
tw
o
rk
s
w
it
h
Eff
ici
e
n
t
Re
v
o
c
a
ti
o
n
,
”
2
0
1
0
Pro
c
e
e
d
i
n
g
s I
EE
E
INFOCOM
,
S
a
n
Die
g
o
,
CA
,
p
p
.
1
-
9
,
2
0
1
0
.
[2
2
]
L
.
X
u
,
T
.
Ba
o
,
L
.
Zh
u
a
n
d
Y.
Z
h
a
n
g
,
“
T
ru
st
-
Ba
se
d
P
riv
a
c
y
-
P
re
se
rv
in
g
P
h
o
t
o
S
h
a
ri
n
g
i
n
On
l
in
e
S
o
c
ial
Ne
t
w
o
rk
s,
”
in
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
M
u
lt
ime
d
ia
,
v
o
l.
2
1
,
n
o
.
3
,
p
p
.
5
9
1
-
6
0
2
,
M
a
r.
2
0
1
9
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
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0
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8
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I
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&
C
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10
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0
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[2
3
]
S
.
Be
g
ich
e
v
a
,
“
F
u
z
z
y
M
o
d
e
l
f
o
r
Ev
a
lu
a
ti
n
g
th
e
Qu
a
li
ty
o
f
M
e
d
ica
l
Ca
re
,
”
2
0
1
9
IEE
E
2
1
st
Co
n
fer
e
n
c
e
o
n
Bu
sin
e
ss
In
fo
rm
a
t
ics
(
CBI),
M
o
sc
o
w
,
Ru
ss
ia
,
p
p
.
5
-
8,
2
0
1
9
.
[2
4
]
J.
Có
z
a
r,
A
.
F
e
rn
á
n
d
e
z
,
F
.
He
rre
r
a
a
n
d
J.
A
.
Gá
m
e
z
,
“
A
M
e
tah
iera
rc
h
ica
l
Ru
le
De
c
isio
n
S
y
ste
m
to
De
sig
n
Ro
b
u
st
F
u
z
z
y
Cla
ss
i
f
iers
Ba
s
e
d
o
n
Da
ta
Co
m
p
lex
it
y
,
”
in
IEE
E
T
ra
n
s
a
c
ti
o
n
s
o
n
Fu
zz
y
S
y
ste
ms
,
v
o
l.
2
7
,
n
o
.
4
,
p
p
.
7
01
-
7
1
5
,
A
p
r.
2
0
1
9
.
[2
5
]
J
ian
q
ian
g
Li
,
e
t
a
l
.
,
“
En
f
o
rc
in
g
Diff
e
r
e
n
ti
a
l
P
r
iv
a
c
y
f
o
r
S
h
a
re
d
Co
ll
a
b
o
ra
ti
v
e
F
il
terin
g
,
”
in
IEE
E
Acc
e
ss
,
v
o
l.
5
,
p
p
.
3
5
-
4
9
,
2
0
1
7
.
[2
6
]
P
.
Jo
n
a
th
o
n
P
h
il
l
ip
s,
e
t
a
l
.
,
“
F
a
c
e
re
c
o
g
n
it
io
n
a
c
c
u
ra
c
y
o
f
fo
re
n
sic
e
x
a
m
in
e
rs,
su
p
e
rre
c
o
g
n
i
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