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ted
in
f
i
g
u
r
e
[
1
1
]
.
Her
e
th
e
a
u
t
h
o
r
an
d
h
er
ass
o
ciate
s
i
m
p
le
m
en
ted
th
e
m
o
b
ile
e
n
er
g
y
co
n
s
er
v
at
io
n
b
ased
o
n
ex
ec
u
t
in
g
m
o
b
ile
ap
p
licatio
n
in
t
h
eir
m
o
b
ile
d
ev
ice
s
w
h
ic
h
also
m
ea
n
s
m
o
b
ile
e
x
ec
u
tio
n
o
r
clo
u
d
ex
ec
u
t
io
n
.
Fo
r
t
h
is
p
r
o
ce
s
s
,
b
o
th
t
h
e
ex
ec
u
tio
n
as
y
m
p
to
tical
an
al
y
s
is
o
f
t
h
e
o
p
ti
m
al
s
c
h
ed
u
l
in
g
is
al
s
o
p
r
o
v
id
ed
.
I
m
p
r
o
v
is
atio
n
o
f
q
u
alit
y
o
f
R
ea
ll
y
Si
m
p
le
S
y
n
d
icatio
n
(
R
SS
)
r
ea
d
in
g
s
er
v
ice
f
o
r
m
o
b
ile
u
s
er
s
i
s
d
escr
ib
ed
in
f
ig
u
r
e
[
1
3
]
.
T
h
er
e
ar
e
t
w
o
p
r
o
p
o
s
ed
alg
o
r
ith
m
s
:
C
lo
u
d
-
as
s
is
ted
p
r
e
-
f
etc
h
in
g
an
d
co
g
n
i
tiv
e
p
u
s
h
in
g
.
Fetc
h
in
g
o
f
t
h
e
m
u
lti
m
ed
ia
co
n
ten
t
o
f
th
e
R
SS
f
o
r
all
m
o
b
ile
u
s
er
s
ar
e
tak
e
n
i
n
f
i
r
s
t
p
ar
t,
an
d
in
th
e
s
ec
o
n
d
p
ar
t,
ap
p
r
o
p
r
iate
ti
m
e
is
s
et
f
o
r
p
u
s
h
in
g
th
e
d
ata
to
m
o
b
ile
u
s
er
s
.
T
h
ese
p
r
o
ce
s
s
es
ar
e
w
el
l
u
tili
ze
d
th
r
o
u
g
h
clo
u
d
co
m
p
u
ti
n
g
tech
n
o
lo
g
y
.
I
n
f
ig
u
r
e
[
1
0
]
,
th
e
m
o
b
ile
c
lo
u
d
s
er
v
ice
i
s
p
r
o
v
id
ed
t
h
r
o
u
g
h
o
p
ti
m
al
r
eso
u
r
ce
m
an
a
g
e
m
e
n
t
to
o
l
t
h
a
t
m
ax
i
m
izes
th
e
b
en
e
f
it
o
f
t
h
e
m
o
b
ile
clo
u
d
s
er
v
ice
p
r
o
v
id
er
w
h
ic
h
p
r
o
p
o
s
ed
o
n
e
o
f
th
e
o
u
tli
n
es
f
o
r
t
h
e
r
eso
u
r
ce
allo
ca
tio
n
to
th
e
m
o
b
ile
ap
p
licatio
n
,
f
o
r
m
u
late
t
h
e
o
p
ti
m
al
m
o
d
el
s
th
o
u
g
h
,
t
h
is
m
a
x
i
m
izes
t
h
e
s
er
v
ice
p
r
o
v
id
er
in
th
e
m
o
b
ile
ap
p
licatio
n
.
E
n
er
g
y
e
f
f
icie
n
t
li
n
k
f
o
r
d
ata
I
n
ten
s
iv
e
ap
p
licatio
n
i
n
m
o
b
ile
clo
u
d
co
m
p
u
ti
n
g
is
p
r
esen
ted
i
n
fi
g
u
r
e
[
1
2
]
,
an
d
also
f
o
r
d
ata
to
ler
an
t
ap
p
licatio
n
.
T
o
o
p
ti
m
ize
d
ata
to
ler
an
t
a
n
d
d
ata
I
n
ten
s
i
v
e
s
y
s
te
m
,
th
r
o
u
g
h
o
u
t
en
er
g
y
co
n
s
u
m
p
t
i
o
n
is
d
esi
g
n
ed
b
y
u
s
in
g
t
h
e
d
is
cr
ete
-
ti
m
e
s
to
ch
ast
ic
d
y
n
a
m
ic
p
r
o
g
r
a
m
.
T
h
is
r
ed
u
ce
s
th
e
a
v
er
ag
e
en
er
g
y
co
n
s
u
m
p
t
io
n
f
o
r
p
ac
k
et
d
eli
v
er
y
an
d
i
m
p
le
m
en
t
s
a
s
ca
lab
le
ap
p
r
o
x
i
m
ate
d
y
n
a
m
ic
p
r
o
g
r
am
m
i
n
g
.
T
h
e
Secu
r
it
y
o
f
t
h
e
i
n
ter
n
e
t
s
er
v
ice
i
s
p
r
ese
n
ted
i
n
f
i
g
u
r
e
[
8
]
b
ased
o
n
clo
u
d
m
o
b
ile
co
m
p
u
ti
n
g
s
y
s
te
m
.
I
n
th
is
s
y
s
te
m
,
s
ec
u
r
i
n
g
t
h
e
i
n
ter
n
e
t
is
t
h
r
o
u
g
h
B
i
o
m
e
tr
ic
au
t
h
e
n
ticatio
n
.
T
h
e
p
ass
w
o
r
d
is
cr
ea
ted
th
r
o
u
g
h
t
h
i
s
m
e
th
o
d
an
d
it
i
s
s
to
r
ed
as
a
te
m
p
late.
S
e
v
er
al
t
ec
h
n
iq
u
es
ar
e
u
s
ed
f
o
r
t
h
is
s
y
s
te
m
s
u
c
h
a
s
lar
g
e
s
ca
le
ch
ar
ac
ter
r
ec
o
g
n
i
tio
n
,
al
g
o
r
ith
m
s
u
ch
a
s
k
-
n
ea
r
est n
e
ig
h
b
o
r
,
an
d
ar
tif
icial
n
e
u
r
al
n
e
t
w
o
r
k
cla
s
s
i
f
ier
.
I
n
fi
g
u
r
e
[
1
0
]
r
ep
r
esen
ts
t
h
e
n
u
m
b
er
o
f
a
u
th
e
n
ticat
io
n
tech
n
iq
u
e
s
.
T
h
e
co
r
e
d
esi
g
n
er
s
W
eir
ich
a
n
d
Sas
s
e
f
i
g
u
r
e
[
5
]
r
ep
o
r
ts
th
e
r
e
s
u
lt
o
f
t
h
e
s
er
ies
o
f
u
s
er
i
n
ter
v
ie
w
s
ab
o
u
t
p
as
s
w
o
r
d
b
eh
a
v
i
o
r
an
d
is
al
s
o
b
ased
o
n
p
h
r
ase
ar
g
u
m
en
t
s
to
p
er
s
u
ad
e
th
e
u
s
er
s
w
h
o
is
i
n
tr
o
d
u
ce
d
to
ad
o
p
t
a
b
etter
s
ec
u
r
it
y
b
eh
av
io
r
.
Stan
to
n
fi
g
u
r
e
[
6
]
lik
e
w
is
e
r
esear
c
h
ed
o
n
th
e
u
s
er
s
f
o
r
th
e
p
u
r
p
o
s
e
o
f
d
is
co
v
er
in
g
t
h
e
r
an
g
e
o
f
u
s
er
s
ec
u
r
it
y
b
eh
a
v
io
r
in
a
w
id
e
v
ar
iet
y
o
f
co
n
te
x
t
s
,
n
o
t j
u
s
t in
p
as
s
w
o
r
d
ch
o
ice
an
d
its
u
s
e.
I
n
fi
g
u
r
e
[
2
]
p
r
o
p
o
s
ed
as
an
id
en
tit
y
is
b
a
s
ed
o
n
t
h
e
en
cr
y
p
t
io
n
a
n
d
b
io
m
etr
ic
a
u
t
h
en
t
i
ca
tio
n
f
o
r
s
ec
u
r
e
th
e
d
ata
in
clo
u
d
co
m
p
u
ti
n
g
.
Sev
er
al
s
tep
s
ar
e
p
r
esen
ted
to
ac
ce
s
s
th
e
d
ata
th
at
ar
e
s
ettin
g
t
h
e
p
ar
am
eter
,
k
e
y
d
is
tr
ib
u
tio
n
,
cr
ea
te
th
e
te
m
p
la
te
f
o
r
f
ea
t
u
r
es,
f
i
n
all
y
p
r
o
ce
s
s
i
n
g
th
e
clo
u
d
d
ata.
A
cc
e
s
s
i
n
g
t
h
e
clo
u
d
s
er
v
ice
i
s
i
m
p
le
m
e
n
ted
i
n
Fig
u
r
e
[
3
]
,
h
e
r
e
in
cr
ea
s
i
n
g
t
h
e
s
ec
u
r
it
y
f
o
r
ac
ce
s
s
i
n
g
th
e
d
ata
th
r
o
u
g
h
b
io
m
etr
ic
a
u
th
en
ticatio
n
.
Her
e
t
h
e
r
e
s
ea
r
ch
er
s
s
ec
u
r
e
th
e
d
ata
b
ased
o
n
th
e
co
m
b
i
n
atio
n
o
f
i
m
a
g
es a
n
d
tex
ts
a
s
a
h
y
b
r
id
a
p
p
r
o
ac
h
.
3.
P
RO
P
O
SE
D
M
E
T
H
O
DO
L
O
G
Y
Mo
b
ile
clo
u
d
co
m
p
u
ti
n
g
is
t
h
e
in
teg
r
atio
n
o
f
th
e
clo
u
d
co
m
p
u
ti
n
g
an
d
m
o
b
ile
d
ev
ice
s
,
an
d
is
also
ap
p
lied
b
y
th
e
clo
u
d
co
m
p
u
ti
n
g
ap
p
licatio
n
in
m
o
b
ile
ap
p
licatio
n
.
Fig
u
r
e
1
s
h
o
w
s
p
r
o
p
o
s
ed
Me
th
o
d
o
lo
g
y
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
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2
0
8
8
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8708
I
J
E
C
E
Vo
l.
7
,
No
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1
,
Feb
r
u
ar
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2
0
1
7
:
4
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–
416
410
Fig
u
r
e
2
.
P
r
o
p
o
s
ed
Me
th
o
d
o
lo
g
y
3
.
1
.
O
v
er
v
ie
w
o
f
P
ro
po
s
ed
F
ra
m
ew
o
rk
T
h
e
p
r
o
p
o
s
ed
m
o
d
el
is
u
s
ed
f
o
r
th
e
s
ec
u
r
it
y
p
u
r
p
o
s
e
ef
f
icie
n
tl
y
.
I
n
th
i
s
m
o
d
el,
th
e
p
r
o
p
o
s
ed
b
io
m
etr
ic
a
u
t
h
en
ticatio
n
f
o
r
ap
p
licatio
n
ex
ec
u
tio
n
o
n
t
h
e
cl
o
u
d
b
ased
m
o
b
ile
tec
h
n
o
lo
g
y
.
First,
w
e
ac
ce
s
s
a
f
ile
i
n
th
e
P
C
.
Seco
n
d
l
y
s
e
n
d
in
g
t
h
e
r
eq
u
est
f
o
r
ac
ce
s
s
i
n
g
th
e
f
ile.
Fo
r
ac
ce
s
s
i
n
g
th
e
f
ile
s
ec
r
et
co
d
e
is
n
ee
d
ed
.
T
h
is
s
ec
r
et
co
d
e
is
d
ev
elo
p
ed
u
s
i
n
g
b
io
m
etr
ic
r
ec
o
g
n
itio
n
.
I
n
th
is
r
e
s
ea
r
ch
,
f
i
n
g
er
p
r
in
t
i
s
u
s
ed
a
s
b
io
m
etr
ic
au
t
h
e
n
ticatio
n
is
d
ev
elo
p
ed
.
T
h
e
ai
m
o
f
th
e
m
o
b
i
le
clo
u
d
co
m
p
u
ti
n
g
is
to
g
i
v
e
a
p
r
o
x
y
f
o
r
m
o
b
ile
clien
t
s
co
n
n
ec
tin
g
to
C
lo
u
d
s
er
v
ices.
T
h
is
t
y
p
e
o
f
m
et
h
o
d
s
co
n
s
i
s
ts
o
f
th
r
ee
p
ar
ts
s
u
ch
as
m
o
b
ile
s
er
v
ic
e
clien
t,
m
id
d
le
w
ar
e
a
n
d
clo
u
d
s
er
v
ices.
Fi
n
g
er
p
r
in
t
b
io
m
etr
ic
is
m
o
s
t
l
y
u
s
ed
in
v
ar
i
o
u
s
a
u
t
h
en
t
icatio
n
ap
p
lic
atio
n
s
d
u
e
to
t
h
e
ad
v
an
t
ag
e
o
f
it
s
b
est
b
alan
ce
a
m
o
n
g
o
th
er
au
t
h
en
t
icatio
n
s
y
s
te
m
a
n
d
also
co
s
ti
n
g
o
f
th
e
f
i
n
g
er
p
r
in
t
b
ased
b
io
m
e
tr
ic
au
th
e
n
ticatio
n
s
y
s
te
m
is
v
er
y
lo
w
co
m
p
ar
ed
to
o
th
er
au
th
en
ticatio
n
s
y
s
te
m
.
T
h
e
m
ai
n
ad
v
a
n
tag
e
o
f
th
e
f
i
n
g
er
p
r
in
t
b
ased
au
t
h
en
tica
tio
n
s
y
s
te
m
i
s
u
s
er
f
r
ien
d
l
y
.
Fro
m
th
e
f
i
n
g
er
p
r
in
t,
w
e
ca
lcu
late
t
h
e
s
ec
r
et
co
d
e
d
ev
elo
p
ed
b
y
Ma
x
i
m
u
m
-
E
n
tr
o
p
y
E
x
p
ec
tatio
n
-
Ma
x
i
m
izatio
n
A
l
g
o
r
ith
m
.
R
eq
u
e
s
t
i
s
b
ee
n
s
e
n
t
to
t
h
e
d
ata
o
w
n
er
,
an
d
t
h
e
clie
n
t
r
ec
ei
v
es
th
e
ac
k
n
o
w
led
g
e
m
e
n
t
o
f
ac
ce
s
s
i
n
g
th
e
P
C
t
h
r
o
u
g
h
B
lu
eto
o
th
in
h
is
m
o
b
ile.
3
.
2
.
Secr
et
Co
de
Dev
elo
ped by
M
a
x
i
m
u
m
-
E
ntr
o
py
E
x
p
ec
t
a
t
io
n
-
M
a
x
i
m
iza
t
io
n Alg
o
rit
h
m
E
x
p
ec
tatio
n
-
Ma
x
i
m
izatio
n
(
E
M)
alg
o
r
ith
m
o
f
f
er
s
an
ap
p
r
o
x
i
m
atio
n
o
f
th
e
p
d
f
(
P
r
o
b
ab
il
it
y
d
en
s
it
y
f
u
n
ctio
n
)
b
y
an
iter
ati
v
e
o
p
ti
m
izatio
n
u
n
d
er
th
e
m
ax
i
m
u
m
p
r
o
s
p
ec
t o
f
cr
iter
io
n
.
P
r
o
b
ab
ilit
y
d
e
n
s
it
y
f
u
n
ctio
n
c
an
b
e
ap
p
r
o
x
im
a
ted
as th
e
s
u
m
o
f
Gau
s
s
ian
f
u
n
c
tio
n
∑
(
1
)
Her
e,
Gau
s
s
ia
n
f
u
n
ctio
n
ce
n
te
r
is
r
ep
r
esen
ted
b
y
,
w
h
er
e
co
v
ar
ian
ce
m
atr
ix
i
s
in
d
icate
d
b
y
,
an
d
ea
ch
ce
n
ter
w
eig
h
t i
s
r
ep
r
esen
ted
b
y
.
T
h
e
Gau
s
s
ia
n
f
u
n
ctio
n
is
g
i
v
en
i
n
b
elo
w
eq
u
atio
n
{
}
⁄
|
⁄
(
2
)
Fro
m
th
e
ab
o
v
e
t
w
o
eq
u
atio
n
(
1
&
2
)
,
w
e
ca
n
o
b
s
er
v
e
th
at
t
h
e
lo
g
ar
it
h
m
o
f
th
e
p
o
s
s
ib
ilit
y
o
f
f
u
n
ctio
n
f
o
r
th
e
g
iv
e
n
Ga
u
s
s
ia
n
m
i
x
t
u
r
e
p
ar
a
m
eter
s
th
at
h
as M
o
b
s
er
v
atio
n
s
ca
n
b
e
w
r
itte
n
as
(
)
∑
∑
(
3
)
Her
e
is
th
e
s
a
m
p
le
an
d
is
a
s
et
o
f
p
ar
am
e
ter
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2
0
8
8
-
8708
B
io
metric I
d
en
tifi
ca
tio
n
a
n
d
A
u
th
en
tica
tio
n
P
r
o
vi
d
en
ce
Usi
n
g
F
in
g
erp
r
in
t fo
r
…
(
A
.
A
ma
li Ma
r
y
B
a
s
tin
a
)
411
T
h
e
en
tr
o
p
y
ter
m
i
s
ad
d
ed
i
n
o
r
d
er
to
m
a
k
e
th
e
est
i
m
a
ted
d
en
s
it
y
f
u
n
ctio
n
s
m
o
o
th
an
d
n
o
t to
h
av
e
an
i
m
p
u
l
s
e
d
is
tr
ib
u
tio
n
.
(
)
∑
∑
(
)
(
4
)
Ma
x
i
m
ize
th
e
en
tr
o
p
y
v
alu
e
u
s
in
g
au
g
m
en
ted
p
r
o
b
ab
le
f
u
n
c
tio
n
;
it
is
p
ar
am
eter
ized
b
y
a
p
o
s
itiv
e
s
ca
lar
,
au
g
m
en
ted
p
r
o
b
ab
le
f
u
n
ctio
n
is
g
i
v
en
b
elo
w
:
(
)
(
)
(
)
(
5
)
T
h
e
ex
p
ec
tatio
n
s
tep
o
f
th
e
E
M
alg
o
r
ith
m
ca
n
b
e
s
ep
ar
ated
in
to
t
w
o
ter
m
s
,
o
n
e
is
th
e
ex
p
ec
tatio
n
r
elate
d
w
it
h
lik
eli
h
o
o
d
an
d
th
e
o
th
er
is
t
h
e
ex
p
ec
tatio
n
r
elate
d
w
it
h
th
e
e
n
tr
o
p
y
p
en
alt
y
.
∑
(
6
)
∑
∑
(
7
)
Her
e
L
d
en
o
tes
t
h
at
t
h
is
e
x
p
ec
tatio
n
is
f
r
o
m
t
h
e
li
k
eli
h
o
o
d
f
u
n
ctio
n
,
E
d
en
o
tes
th
a
t
th
i
s
e
x
p
ec
tatio
n
i
s
f
r
o
m
th
e
en
tr
o
p
y
p
en
a
lt
y
,
a
n
d
t d
en
o
tes th
e
n
u
m
b
er
o
f
iter
atio
n
.
T
h
e
lo
w
er
b
o
u
n
d
f
u
n
ct
io
n
(
)
f
o
r
th
e
L
i
k
eli
h
o
o
d
f
u
n
ctio
n
i
s
g
i
v
e
n
b
y
:
(
)
∑
∑
∑
∑
(
)
(
8
)
L
o
w
er
b
o
u
n
d
f
u
n
ctio
n
s
(
)
f
o
r
th
e
en
tr
o
p
y
i
s
g
i
v
e
n
b
elo
w
:
(
)
(
∑
∑
)
∑
∑
∑
∑
(
)
(
)
(
9
)
I
n
th
e
ab
o
v
e
eq
u
atio
n
in
d
icate
d
co
n
ca
v
e
f
u
n
c
tio
n
T
h
e
co
m
b
in
a
tio
n
o
f
t
w
o
lo
w
er
b
o
u
n
d
s
g
i
v
e
n
an
o
t
h
er
r
elatio
n
s
h
ip
is
g
i
v
en
b
elo
w
:
(
)
(
)
(
)
(
1
0
)
Sin
ce
w
e
h
av
e
th
e
lo
w
er
b
o
u
n
d
f
u
n
ctio
n
,
t
h
e
n
e
w
e
s
ti
m
ates
o
f
t
h
e
p
ar
a
m
eter
s
ar
e
ea
s
i
l
y
c
alcu
lated
b
y
s
et
tin
g
th
e
d
er
iv
ati
v
es o
f
(
)
w
it
h
r
esp
ec
t to
ea
ch
p
ar
am
e
ter
to
ze
r
o
.
a)
Mean
T
h
e
m
ea
n
v
ec
to
r
is
ca
lcu
lated
b
y
eq
u
atio
n:
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
J
E
C
E
Vo
l.
7
,
No
.
1
,
Feb
r
u
ar
y
2
0
1
7
:
4
0
8
–
416
412
(
∑
∑
)
(
∑
∑
)
(
1
1
)
b
)
W
eig
h
t:
W
eig
h
t p
ar
a
m
e
ter
is
ca
lcu
la
te
d
b
y
b
elo
w
eq
u
atio
n
:
∑
∑
c)
C
o
v
ar
ian
ce
:
C
o
v
ar
ian
ce
p
ar
a
m
eter
is
ca
lcu
lated
u
s
i
n
g
b
elo
w
eq
u
atio
n
:
{
(
)
}
∑
∑
(
1
2
)
Her
e
is
eq
u
al
to
{
}
{
∫
}
∫
{
}
∫
{
}
(
1
3
)
Usi
n
g
th
e
ab
o
v
e
eq
u
atio
n
with
s
y
m
m
etr
y
p
r
o
p
er
ty
o
f
G
au
s
s
ian
,
w
e
i
n
tr
o
d
u
ce
t
h
e
lo
w
er
b
o
u
n
d
f
o
r
th
e
co
v
ar
ian
ce
.
{
(
)
}
∑
∑
(
)
(
1
4
)
T
h
en
n
e
w
esti
m
ated
co
v
ar
ia
n
c
e
is
o
b
tain
ed
b
y
n
e
w
lo
w
er
b
o
u
n
d
s
et
tin
g
.
∑
(
)
∑
∑
(
1
5
)
T
h
is
m
et
h
o
d
to
p
r
o
v
e
th
at
th
i
s
alg
o
r
it
h
m
co
n
v
er
g
es
to
a
lo
ca
l
m
ax
i
m
u
m
o
n
b
o
u
n
d
is
g
e
n
er
ated
b
y
th
e
C
a
u
c
h
y
–
Sc
h
w
ar
tz
i
n
eq
u
al
it
y
.
T
h
is
t
y
p
e
o
f
i
n
eq
u
a
lit
y
is
m
et
w
it
h
eq
u
ali
t
y
,
w
h
en
t
h
e
c
o
v
ar
ian
ce
m
atr
ices
o
f
th
e
d
if
f
er
e
n
t k
er
n
els ar
e
eq
u
al.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2
0
8
8
-
8708
B
io
metric I
d
en
tifi
ca
tio
n
a
n
d
A
u
th
en
tica
tio
n
P
r
o
vi
d
en
ce
Usi
n
g
F
in
g
erp
r
in
t fo
r
…
(
A
.
A
ma
li Ma
r
y
B
a
s
tin
a
)
413
3
.
3
.
Adv
a
nced
E
ncr
y
ptio
n a
nd
D
ec
ry
ptio
n Alg
o
rit
h
m
E
n
cr
y
p
tio
n
a
n
d
d
ec
r
y
p
tio
n
i
s
m
o
s
t
i
m
p
o
r
tan
t
to
s
ec
u
r
e
t
h
e
d
ata
in
all
s
ec
u
r
it
y
d
ev
e
lo
p
m
en
t.
I
n
t
h
i
s
r
esear
ch
es,
th
e
f
ile
h
a
s
to
b
e
h
id
d
en
is
s
ec
u
r
ed
b
y
th
e
s
e
alg
o
r
ith
m
.
E
n
cr
y
p
tio
n
an
d
D
ec
r
y
p
tio
n
p
la
y
s
a
n
i
m
p
o
r
tan
t
r
o
le
i
n
s
e
c
u
r
it
y
.
T
h
e
cr
ea
ted
en
tr
o
p
y
v
al
u
e
i
s
u
s
ed
f
o
r
d
ec
r
y
p
ti
n
g
t
h
e
en
tr
o
p
y
f
ile,
i
f
th
e
e
n
tr
o
p
y
v
alu
e
i
s
m
atch
ed
.
3
.
3
.
1
.
Adv
a
nced
E
ncr
y
ptio
n St
a
n
d
a
rd
(
AE
S)
Alg
o
rit
h
m
T
h
er
e
ar
e
tw
o
m
ai
n
i
m
p
o
r
ta
n
t
p
ar
ts
in
A
E
S
al
g
o
r
it
h
m
,
w
h
ic
h
ar
e
d
ata
p
r
o
ce
d
u
r
es
an
d
k
e
y
s
ch
ed
u
le
s
.
T
h
e
d
ata
p
r
o
ce
d
u
r
e
is
o
n
e
o
f
th
e
i
m
p
o
r
tan
t
f
o
r
en
cr
y
p
t
io
n
,
it
h
a
s
f
o
u
r
o
p
er
atio
n
s
:
(
I
n
v
)
Su
b
B
y
te
s
,
(
I
n
v
)
Sh
i
f
t
R
o
w
s
,
(
I
n
v
)
Mi
x
C
o
l
u
m
n
s
,
an
d
(
I
n
v
)
A
d
d
R
o
u
n
d
Ke
y
.
AE
S
o
p
er
ated
in
t
w
o
f
ield
s
,
an
d
.
I
n
ad
d
itio
n
is
d
en
o
ted
b
y
⊕
,
an
d
m
u
lt
ip
licatio
n
is
d
e
n
o
ted
b
y
⊗
.
Si
m
ilar
l
y
,
th
e
t
w
o
s
y
m
b
o
l
s
,
⊕
an
d
⊗
,
d
en
o
te
ad
d
itio
n
an
d
m
u
ltip
lica
tio
n
in
.
E
ac
h
o
p
er
atio
n
is
ex
p
l
ain
ed
b
elo
w
.
1
)
Su
b
t
y
p
es:
I
n
th
is
o
p
er
atio
n
,
t
w
o
ca
lc
u
lat
io
n
s
ar
e
i
n
v
o
l
v
ed
th
a
t
ar
e
in
v
er
s
io
n
an
d
a
f
f
i
n
e
tr
an
s
f
o
r
m
ati
o
n
.
Fo
r
ea
ch
b
y
te
in
t
h
e
d
ata
b
lo
ck
,
th
i
s
o
p
er
atio
n
is
ass
ig
n
ed
b
y
(
1
6
)
I
n
th
e
ab
o
v
e
eq
u
atio
n
,
is
th
e
in
v
er
s
e
o
f
t
h
e
i
n
p
u
t
b
y
te,
in
d
i
ca
tes
th
e
i
th
b
y
te
o
f
th
e
d
ata
b
l
o
ck
.
A
is
a
co
n
s
ta
n
t
r
o
w
v
ec
to
r
f
o
r
cir
cu
lan
t
v
ec
to
r
[
]
,
d
en
o
tes
th
e
m
atr
i
x
-
v
ec
to
r
m
u
ltip
licatio
n
o
v
er
GF
(
2
)
.
2)
Sh
if
t
R
o
w
s
:
C
h
a
n
g
in
g
t
h
e
b
y
te
p
o
s
itio
n
p
r
o
ce
s
s
is
o
b
tai
n
ed
th
r
o
u
g
h
t
h
is
o
p
er
atio
n
.
A
s
s
i
g
n
i
n
g
d
i
f
f
er
e
n
t
o
f
f
s
et
f
o
r
r
o
tatin
g
ea
c
h
r
o
w
a
n
d
o
b
tain
th
e
n
e
w
s
tate.
Fo
r
ex
a
m
p
le
[
]
[
]
I
n
t
h
e
ab
o
v
e
m
atr
i
x
,
f
ir
s
t
r
o
w
is
u
n
c
h
a
n
g
ed
,
t
h
e
s
ec
o
n
d
r
o
w
is
le
f
t
cir
c
u
lar
s
h
i
f
ted
b
y
o
n
e,
th
e
t
h
ir
d
r
o
w
is
b
y
t
w
o
,
an
d
t
h
e
last
r
o
w
is
b
y
t
h
r
ee
.
3)
Mix
C
o
lu
m
n
s
:
I
n
th
i
s
o
p
er
atio
n
,
f
o
u
r
n
e
w
b
y
t
es a
r
e
o
b
tain
ed
b
y
m
ix
e
s
ev
e
r
y
co
n
s
ec
u
ti
v
e
f
o
u
r
b
y
te
o
f
t
h
e
s
tate.
Fo
r
ex
a
m
p
le
[
]
[
]
E
v
er
y
co
n
s
ec
u
t
iv
e
f
o
u
r
b
y
te
s
ar
e
r
ep
r
esen
ted
as
,
in
w
h
ic
h
i
b
elo
n
g
s
to
{
}
.
T
h
en
f
o
u
r
b
y
te
s
ar
e
tr
an
s
f
o
r
m
ed
b
y
[
]
[
]
[
]
I
n
th
e
ab
o
v
e
m
atr
ix
,
ea
c
h
en
tr
y
is
b
elo
n
g
s
to
.
4)
A
d
d
R
o
u
n
d
Ke
y
an
d
k
e
y
E
x
p
an
s
io
n
:
A
d
d
R
o
u
n
d
Ke
y
o
p
er
atio
n
is
s
i
m
p
l
y
a
n
ad
d
itio
n
,
in
w
h
ich
ea
ch
r
o
u
n
d
h
a
v
e
1
2
8
-
b
it
r
o
u
n
d
k
e
y
a
n
d
w
h
ic
h
is
s
e
g
m
e
n
ted
in
to
1
6
b
y
tes
.
,
w
h
er
e
(
1
7
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
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2
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8
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J
E
C
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Vo
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1
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Feb
r
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ar
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416
414
T
h
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32
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it
w
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s
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w
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r
is
1
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1
2
,
o
r
1
4
.
T
h
e
p
r
iv
ate
k
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s
e
g
m
e
n
ted
in
to
N
k
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d
s
ac
co
r
d
in
g
to
th
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k
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y
le
n
g
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,
w
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NK
is
4
,
6
,
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r
8
f
o
r
a
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2
8
-
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it,
1
9
2
-
b
it,
o
r
2
5
6
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b
itcip
h
er
k
e
y
,
r
esp
ec
ti
v
el
y
.
3
.
3
.
2
.
Adv
a
nced
Dec
ry
ptio
n
Sta
nd
a
rd
Alg
o
rit
h
m
:
C
o
r
r
esp
o
n
d
in
g
to
t
h
e
tr
an
s
f
o
r
m
atio
n
s
i
n
th
e
e
n
cr
y
p
t
io
n
,
I
n
v
S
u
b
B
y
tes,
I
n
v
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h
i
f
tR
o
w
s
,
I
n
v
Mi
x
C
o
lu
m
n
s
,
an
d
A
d
d
R
o
u
n
d
Ke
y
ar
e
th
e
tr
a
n
s
f
o
r
m
at
io
n
s
u
s
ed
in
t
h
e
d
ec
r
y
p
tio
n
.
1
)
I
n
v
Su
b
B
y
te
s
T
r
an
s
f
o
r
m
a
tio
n
:
I
t is th
e
i
n
v
er
s
e
tr
a
n
s
f
o
r
m
at
io
n
o
f
Su
b
B
y
te
s
.
2
)
I
n
v
Sh
if
t
R
o
w
s
T
r
an
s
f
o
r
m
ati
o
n
:
I
t
is
th
e
in
v
er
s
e
tr
an
s
f
o
r
m
ati
o
n
o
f
Sh
i
f
t
R
o
w
s
.
Her
e
th
e
f
ir
s
t
is
n
o
t
ch
a
n
g
ed
;
o
n
e
b
y
t
e
is
s
h
i
f
t
c
y
clica
ll
y
to
t
h
e
r
ig
h
t
f
o
r
s
ec
o
n
d
r
o
w
,
t
w
o
b
y
te
is
s
h
i
f
ted
to
r
ig
h
t
f
o
r
th
ir
d
r
o
w
.
Fi
n
all
y
f
o
u
r
b
y
te
i
s
s
h
i
f
ted
c
y
clica
ll
y
to
th
e
r
i
g
h
t
f
o
r
th
ir
d
r
o
w
.
3
)
I
n
v
Mix
C
o
lu
m
n
s
T
r
an
s
f
o
r
m
atio
n
:
I
t is th
e
i
n
v
er
s
e
tr
a
n
s
f
o
r
m
at
io
n
o
f
I
n
v
Mi
x
C
o
lu
m
n
s
.
I
t is tr
a
n
s
f
o
r
m
ed
co
lu
m
n
b
y
co
l
u
m
n
o
n
th
e
s
tate.
4)
A
d
d
R
o
u
n
d
Ke
y
:
A
d
d
R
o
u
n
d
Ke
y
p
r
o
ce
s
s
i
s
s
a
m
e
as th
e
E
n
cr
y
p
tio
n
,
b
u
t t
h
is
o
p
er
atio
n
u
s
ed
in
r
e
v
er
s
e
o
r
d
er
.
4.
E
XP
E
R
I
M
E
NT
A
L
RE
SUL
T
S
T
h
e
p
r
o
p
o
s
ed
s
y
s
te
m
i
s
ev
al
u
ated
in
J
A
V
A
p
lat
f
o
r
m
.
Her
e,
t
w
o
e
m
er
g
i
n
g
tr
e
n
d
s
ar
e
u
s
e
d
th
at
ar
e
clo
u
d
an
d
m
o
b
ile,
th
e
s
e
t
w
o
tr
en
d
s
ar
e
co
m
b
in
ed
an
d
ch
a
lle
n
g
i
n
g
th
e
s
ec
u
r
it
y
p
er
f
o
r
m
a
n
c
e.
Fig
u
r
e
3
.
E
n
tr
o
p
y
Val
u
e
f
o
r
u
s
er
Fin
g
er
p
r
in
t
Fig
u
r
e
4
.
Au
th
e
n
tica
tio
n
r
ec
ei
v
ed
b
y
ad
m
i
n
f
r
o
m
clien
t
Fig
u
r
e
5
.
Au
th
e
n
tica
tio
n
R
ec
e
iv
ed
b
y
C
lie
n
t
f
r
o
m
A
d
m
i
n
Fig
u
r
e
6
.
Ma
x
i
m
u
m
E
n
tr
o
p
y
Valu
e
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I
J
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C
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I
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N:
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8
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ter
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u
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2
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&
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illu
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ate
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w
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in
F
ig
u
r
e
3
,
ac
k
n
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g
m
e
n
t i
s
s
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t
b
ac
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y
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n
F
i
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e
4
.
Fi
g
u
r
e
5
&
6
illu
s
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ate
s
th
e
m
a
x
i
m
u
m
en
tr
o
p
y
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al
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e
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d
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er
p
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t
m
atc
h
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g
to
th
e
d
atab
ase
s
to
r
ed
in
th
e
P
C
.
T
h
en
th
e
clie
n
t a
cc
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e
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t
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if
ie
d
f
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ld
er
th
r
o
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g
h
th
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s
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tr
o
p
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e.
5.
CO
NCLU
SI
O
N
C
lo
u
d
co
m
p
u
tin
g
p
r
o
m
i
s
es
t
h
e
I
T
co
m
p
an
ies
a
n
d
p
r
o
v
id
es
in
cr
ea
s
ed
f
lex
ib
ilit
y
.
O
n
e
o
f
th
e
k
e
y
p
r
o
b
lem
s
i
s
i
n
f
o
r
m
atio
n
s
ec
u
r
it
y
.
T
h
is
r
esear
c
h
p
r
esen
ted
a
co
n
tr
o
llab
le
s
ec
u
r
it
y
s
c
h
e
m
e
f
o
r
a
clo
u
d
s
to
r
ag
e
o
w
n
er
to
s
ec
u
r
e
th
eir
d
ata.
Mo
b
ile
clo
u
d
co
m
p
u
ti
n
g
is
p
r
esen
ted
w
ith
f
i
n
g
er
p
r
in
t
b
io
m
etr
ic
au
t
h
e
n
ticatio
n
w
it
h
Ma
x
i
m
u
m
E
n
tr
o
p
y
E
x
p
ec
tatio
n
-
Ma
x
i
m
iza
tio
n
Alg
o
r
i
th
m
w
h
ic
h
u
s
e
s
to
cr
ea
te
t
h
e
s
ec
r
et
co
d
e.
T
h
is
p
ap
er
o
f
f
er
s
clo
u
d
s
to
r
a
g
e
id
en
ti
f
y
f
o
r
ac
c
ess
i
n
g
d
ata
o
r
f
i
les
f
r
o
m
P
C
t
h
r
o
u
g
h
a
n
y
w
h
e
r
e
b
y
m
o
b
ile
u
s
i
n
g
f
i
n
g
er
p
r
in
t r
ec
o
g
n
itio
n
.
RE
F
E
R
E
NC
E
S
[1
]
Ja
in
AK
,
Ro
ss
A
,
P
ra
b
h
a
k
a
r
S
.
“
A
n
in
tro
d
u
c
ti
o
n
to
b
io
m
e
tri
c
re
c
o
g
n
it
io
n
”
.
I
EE
E
T
ra
n
sa
c
ti
o
n
s
o
n
c
irc
u
it
s
a
n
d
sy
ste
ms
fo
r vid
e
o
tec
h
n
o
lo
g
y
.
2
0
0
4
Ja
n
;
1
4
(
1
):
4
-
20
[2
]
Ch
e
n
g
H,
Ro
n
g
C,
T
a
n
Z,
Zen
g
Q.
“
Id
e
n
ti
ty
b
a
se
d
e
n
c
ry
p
ti
o
n
a
n
d
b
i
o
m
e
tri
c
a
u
th
e
n
ti
c
a
ti
o
n
sc
h
e
m
e
f
o
r
se
c
u
re
d
a
ta
a
c
c
e
s
s in
c
lo
u
d
c
o
m
p
u
ti
n
g
”
.
Ch
i
n
e
se
J
o
u
rn
a
l
o
f
E
lec
tro
n
ics
.
2
0
1
2
A
p
r;
2
1
(2
):
2
5
4
-
9
[3
]
P
o
p
e
sc
u
DE,
L
o
n
e
a
A
M
.
“
A
h
y
b
rid
tex
t
-
im
a
g
e
b
a
s
e
d
a
u
th
e
n
ti
c
a
ti
o
n
f
o
r
c
lo
u
d
se
rv
ice
s
”
.
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Co
mp
u
ter
s C
o
mm
u
n
ic
a
ti
o
n
s &
C
o
n
tro
l.
2
0
1
3
F
e
b
1
8
;
8
(
2
):
2
6
3
-
7
4
.
[4
]
M
a
c
e
d
o
DF,
D
o
s
S
a
n
t
o
s
A
L
,
P
u
j
o
ll
e
G
.
“
F
ro
m
T
CP
/I
P
t
o
c
o
n
v
e
rg
e
n
t
n
e
tw
o
rk
s:
c
h
a
ll
e
n
g
e
s
a
n
d
tax
o
n
o
m
y
”
.
IEE
E
Co
mm
u
n
ica
ti
o
n
s S
u
rv
e
y
s
&
T
u
to
ria
ls.
2
0
0
8
Ja
n
1
;
10
(4
):
40
-
5
5
.
[5
]
W
e
iri
c
h
D,
S
a
ss
e
M
A
.
“
P
re
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rity p
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tam
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r
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4
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.
[7
]
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2
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1
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0
.
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]
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M
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3
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v
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.
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3
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[9
]
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n
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ic
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y
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n
g
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e
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h
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”
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re
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n
e
ra
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p
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n
3
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0
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g
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,
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ss
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in
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re
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n
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p
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ti
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g
”
.
IEE
E
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o
u
rn
a
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S
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l
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c
ted
Are
a
s in
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o
mm
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n
ic
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s
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c
;
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2
):
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0
0
.
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1
]
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a
n
g
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a
n
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r
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o
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u
DO
.
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e
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g
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m
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o
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g
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n
d
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r
sto
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h
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stic
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h
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n
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l
”
.
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E
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r
a
n
s
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c
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o
n
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les
s Co
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n
ica
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s
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3
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e
p
;
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2
(9
):
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5
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9
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8
1
.
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2
]
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ian
g
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,
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in
C,
Ch
e
n
X
.
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En
e
rg
y
-
e
ff
icie
n
t
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n
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ti
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n
d
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s
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issio
n
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e
d
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l
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g
in
m
o
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e
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lo
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d
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o
m
p
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ti
n
g
”
.
IEE
E
W
ire
les
s Co
mm
u
n
ica
t
io
n
s
L
e
tt
e
rs
.
2
0
1
4
A
p
r;
3
(2
):
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5
3
-
6.
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416
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3
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W
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n
M
.
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d
:
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n
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se
rs
”
.
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S
y
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ms
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o
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l
.
2
0
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4
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r;
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(
1
):
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4
]
S
a
n
a
e
i
Z,
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b
o
lfaz
li
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,
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a
n
i
A,
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y
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R.
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tero
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e
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e
it
y
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m
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lo
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d
c
o
m
p
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g
:
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o
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y
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n
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p
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h
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ll
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n
g
e
s
”
.
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Co
m
m
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s S
u
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y
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rials.
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e
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6
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B
I
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L
e
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r,
De
p
a
rtme
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6
0
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a
il
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a
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m
Evaluation Warning : The document was created with Spire.PDF for Python.