I
nte
rna
t
io
na
l
J
o
urna
l o
f
E
lect
rica
l a
nd
Co
m
p
ute
r
E
ng
in
ee
ring
(
I
J
E
CE
)
Vo
l.
10
,
No
.
6
,
Dec
em
b
er
2
0
2
0
,
p
p
.
6
0
0
8
~
6
0
1
8
I
SS
N:
2
0
8
8
-
8708
,
DOI
: 1
0
.
1
1
5
9
1
/
i
j
ec
e
.
v
1
0
i
6
.
pp
6
0
0
8
-
6
0
1
8
6008
J
o
ur
na
l ho
m
ep
a
g
e
:
h
ttp
:
//ij
ec
e.
ia
esco
r
e.
co
m/in
d
ex
.
p
h
p
/I
JE
C
E
An ef
ficien
t
da
ta
m
a
s
k
ing
f
o
r
secur
ing
m
e
dica
l data
using
DNA
enco
d
ing
and cha
o
tic
sy
ste
m
Sid
da
rt
ha
B
.
K
.
1
,
Ra
v
ik
u
m
a
r
G
.
K
.
2
1
BG
S
In
stit
u
te o
f
T
e
c
h
n
o
lo
g
y
,
In
d
ia
2
De
p
a
rtme
n
t
o
f
Co
m
p
u
ter S
c
ien
c
e
a
n
d
E
n
g
in
e
e
rin
g
,
BG
S
In
stit
u
te
o
f
T
e
c
h
n
o
l
o
g
y
,
In
d
ia
Art
icle
I
nfo
AB
ST
RAC
T
A
r
ticle
his
to
r
y:
R
ec
eiv
ed
J
u
n
2
6
,
2
0
1
9
R
ev
i
s
ed
Ma
y
5
,
2020
A
cc
ep
ted
Ma
y
2
7
,
2
0
2
0
Da
ta
se
c
u
rit
y
is
o
f
u
tm
o
st
i
m
p
o
rtan
c
e
f
o
r
u
b
iq
u
it
o
u
s
c
o
m
p
u
ti
n
g
o
f
m
e
d
ica
l/
d
iag
n
o
stic
d
a
ta
o
r
im
a
g
e
s.
A
lo
n
g
w
it
h
th
a
t
m
u
st
c
o
n
sid
e
r
p
re
se
rv
in
g
th
e
p
riv
a
c
y
o
f
p
a
ti
e
n
ts.
Re
c
e
n
tl
y
,
d
e
o
x
y
rib
o
se
n
u
c
leic
a
c
id
(DN
A
)
se
q
u
e
n
c
e
s
a
n
d
CS
s
a
re
jo
i
n
tl
y
u
se
d
f
o
r
b
u
il
d
i
n
g
e
f
f
i
c
ien
t
d
a
ta
m
a
sk
i
n
g
m
o
d
e
ls.
Ho
w
e
v
e
r,
th
e
sta
te
-
of
-
a
rt
m
e
th
o
d
is
n
o
t
r
o
b
u
st
a
g
a
in
st
c
ro
p
p
i
n
g
a
tt
a
c
k
(
CA
)
a
n
d
n
o
ise
.
S
in
c
e
in
th
e
e
x
isti
n
g
m
o
d
e
l
m
o
st
o
f
th
e
d
ig
it
s
o
f
e
a
c
h
p
i
x
e
l
a
re
n
o
t
c
h
a
n
g
e
d
.
T
h
is
w
o
rk
re
p
re
se
n
ts
e
ff
ici
e
n
t
-
d
a
ta
-
m
a
sk
in
g
(EDM
)
u
sin
g
c
h
a
o
s
a
n
d
th
e
DN
A
b
a
se
d
e
n
c
r
y
p
ti
o
n
tec
h
n
iq
u
e
f
o
r
se
c
u
rin
g
th
e
h
e
a
lt
h
c
a
re
d
a
ta.
F
o
r
o
v
e
rc
o
m
in
g
th
e
re
se
a
rc
h
c
h
a
ll
e
n
g
e
s
th
e
e
ff
e
c
ti
v
e
-
b
it
-
sc
ra
m
b
li
n
g
tec
h
n
iq
u
e
is
n
e
e
d
e
d
.
A
t
f
irst,
th
is
w
o
rk
re
p
re
s
e
n
ts
a
n
e
ff
icie
n
t
b
it
-
sc
ra
m
b
li
n
g
u
sin
g
th
e
lo
g
isti
c
-
sin
-
m
a
p
,
a
n
d
th
e
P
S
-
u
ti
li
z
i
n
g
th
e
c
h
a
o
t
i
c
s
y
ste
m
.
T
h
e
n
th
e
su
b
stit
u
ti
o
n
is
c
a
rried
o
u
t
b
e
tw
e
e
n
th
e
m
to
re
sist
a
g
a
in
st
S
A
,
D
A
,
a
n
d
CA
.
th
e
e
x
p
e
rime
n
ts
a
re
c
o
n
d
u
c
ted
o
n
t
h
e
sta
n
d
a
r
d
a
ss
u
m
in
g
th
e
d
iv
e
rse
im
a
g
e
s.
T
h
e
g
a
in
e
d
re
su
lt
re
p
r
e
se
n
ts
th
a
t
th
e
i
n
tr
o
d
u
c
e
d
m
o
d
e
l
is
v
e
r
y
e
ff
ici
e
n
t
w
h
e
n
c
o
m
p
a
re
d
to
th
e
e
x
isti
n
g
m
o
d
e
ls.
K
ey
w
o
r
d
s
:
B
it
-
lev
e
l scr
a
m
b
li
n
g
C
h
ao
tic
s
y
s
te
m
DN
A
en
co
d
i
n
g
C
r
y
p
to
g
r
ap
h
y
Steg
a
n
o
g
r
ap
h
y
Co
p
y
rig
h
t
©
2
0
2
0
In
stit
u
te o
f
A
d
v
a
n
c
e
d
E
n
g
i
n
e
e
rin
g
a
n
d
S
c
ien
c
e
.
Al
l
rig
h
ts re
se
rv
e
d
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
Sid
d
ar
th
a
B
.
K
.
,
B
GS I
n
s
tit
u
te
o
f
T
ec
h
n
o
lo
g
y
,
Kar
n
atak
a
,
I
n
d
ia
.
E
m
ail:
s
id
d
h
ar
th
b
k
7
@
g
m
a
il.c
o
m
1.
I
NT
RO
D
UCT
I
O
N
A
r
ec
en
t
d
ev
elo
p
m
e
n
t
in
i
n
f
o
r
m
atio
n
a
n
d
co
m
m
u
n
icatio
n
te
ch
n
o
lo
g
y
an
d
th
e
h
ea
lth
ca
r
e
d
o
m
ai
n
h
a
s
in
cr
ea
s
ed
t
h
e
s
h
ar
in
g
o
f
d
ia
g
n
o
s
tic
d
ata
s
u
c
h
a
s
s
ca
n
n
i
n
g
,
X
-
r
a
y
r
ep
o
r
t
,
etc.
th
e
i
n
cr
ea
s
ed
u
s
a
g
e
o
f
d
ia
g
n
o
s
tic
d
ig
ital
d
ata
o
v
er
t
h
e
o
n
li
n
e
e
n
v
ir
o
n
m
e
n
t
h
a
s
r
es
u
lted
f
r
o
m
r
esear
ch
er
s
i
n
p
r
o
v
id
in
g
s
ec
u
r
e
p
r
o
ce
s
s
i
n
g
an
d
co
m
p
r
es
s
i
n
g
o
f
d
ia
g
n
o
s
t
ic
d
at
a.
Fu
r
t
h
er
,
in
r
ec
e
n
t
ti
m
e
s
m
o
s
t
o
f
th
e
e
m
i
n
e
n
t
r
esear
c
h
is
g
o
in
g
to
p
r
o
ce
s
s
in
g
,
h
an
d
li
n
g
,
a
n
d
s
h
ar
in
g
t
h
e
lar
g
er
a
m
o
u
n
t
o
f
co
llected
d
ata
f
r
o
m
d
if
f
er
e
n
t
s
o
u
r
ce
s
[
1
-
3
]
.
An
y
w
a
y
s
,
p
r
eser
v
i
n
g
th
e
p
r
iv
ac
y
o
f
d
ig
ital
d
ata
l
ik
e
v
id
eo
s
a
n
d
i
m
ag
e
s
s
h
ar
ed
v
ia
th
e
in
ter
n
et
h
as
b
ee
n
t
h
e
m
ai
n
co
n
ce
r
n
.
I
n
m
o
s
t
o
f
th
e
ap
p
licatio
n
s
,
th
e
s
e
d
at
a
ar
e
th
e
p
r
iv
ac
y
-
s
e
n
s
iti
v
e
in
f
o
r
m
atio
n
.
T
h
u
s
,
it
ca
n
b
e
ab
u
s
ed
if
i
m
p
r
o
p
er
m
an
a
g
e
m
e
n
t
an
d
h
a
n
d
li
n
g
o
f
th
ese
s
to
r
ed
d
ata
in
th
e
p
lain
t
ex
t
o
n
t
h
e
en
v
ir
o
n
m
en
t
o
f
clo
u
d
s
to
r
ag
e.
A
s
a
n
o
u
tco
m
e,
m
o
r
e
atte
n
tio
n
ca
n
b
e
p
aid
to
p
r
eser
v
ice
p
r
iv
ac
y
[
4
]
.
An
y
w
a
y
s
,
w
it
h
th
e
r
a
p
id
d
ev
elo
p
m
e
n
t
o
f
co
m
m
u
n
icatio
n
a
n
d
in
f
o
r
m
a
ti
o
n
tec
h
n
o
lo
g
y
,
th
e
m
u
lt
i
m
ed
i
a
in
f
o
r
m
at
io
n
i
s
p
r
o
n
e
to
t
h
e
s
ec
u
r
it
y
attac
k
s
d
ata
ca
n
b
e
m
o
d
if
ied
an
d
r
e
-
d
i
s
tr
i
b
u
ted
w
it
h
o
u
t
k
n
o
w
in
g
t
h
e
d
ata
o
w
n
er
.
F
u
r
th
er
m
o
r
e,
s
ec
u
r
i
t
y
r
is
k
m
a
y
i
n
d
u
ce
c
o
p
y
r
i
g
h
t
v
i
o
l
a
t
i
o
n
,
i
n
f
o
r
m
a
t
i
o
n
t
h
e
f
t
a
n
d
p
r
i
v
a
c
y
,
a
n
d
d
i
f
f
e
r
e
n
t
k
i
n
d
o
f
s
t
a
t
i
s
t
i
c
a
l
a
n
d
d
i
f
f
e
r
e
n
t
i
a
l
a
t
t
a
c
k
s
[
5
-
7
]
.
Fo
r
in
s
ta
n
ce
,
th
e
m
ed
ical
p
ict
u
r
es,
h
ea
lt
h
ca
r
e
an
d
d
ata’
s
ar
e
u
s
ed
in
t
h
e
elec
tr
o
n
ic
p
atie
n
t
r
ec
o
r
d
,
d
iag
n
o
s
tic
p
ictu
r
e
-
i
n
f
o
r
m
atio
n
is
s
en
t
t
o
th
e
co
n
ce
r
n
ed
p
er
s
o
n
w
h
o
is
lo
ca
ted
b
y
t
h
e
m
ea
n
s
o
f
n
o
n
-
s
a
f
et
y
-
in
ter
n
et
ch
an
n
el
s
[
8
-
1
2
]
.
T
h
e
s
m
aller
i
n
f
o
r
m
atio
n
to
t
h
ese
d
iag
n
o
s
tic
w
o
u
ld
o
u
tco
m
e
i
n
w
r
o
n
g
d
ia
g
n
o
s
is
a
n
d
lif
e
-
lo
s
s
.
Data
m
as
k
i
n
g
(
DM
)
u
s
in
g
cr
y
p
to
g
r
ap
h
y
is
a
n
ar
ea
o
f
m
at
h
e
m
atic
s
an
d
co
m
p
u
ter
s
cie
n
ce
t
h
at
o
f
f
e
r
s
s
ev
er
al
m
e
th
o
d
o
lo
g
ies
a
n
d
alg
o
r
ith
m
s
t
h
at
o
v
er
co
m
e
t
h
e
ch
alle
n
g
e
s
in
p
r
o
v
id
in
g
s
ec
u
r
it
y
f
o
r
d
if
f
er
en
t
k
in
d
s
o
f
d
ata
s
u
ch
as
m
u
lti
m
ed
ia
d
a
ta,
tex
t
u
al
d
ata,
a
n
d
m
ed
ical
d
ata
,
etc.
T
h
e
n
u
m
b
er
o
f
cr
y
p
to
g
r
ap
h
y
ap
p
r
o
ac
h
es
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
A
n
efficien
t d
a
ta
ma
s
kin
g
fo
r
s
ec
u
r
in
g
med
ica
l d
a
ta
u
s
in
g
(
S
id
d
a
r
th
a
B
.
K
.
)
6009
u
s
i
n
g
a
d
ig
ital
s
i
g
n
at
u
r
e
(
DS
)
an
d
en
cr
y
p
tio
n
h
as
b
ee
n
d
is
cu
s
s
ed
in
t
h
e
liter
at
u
r
e.
T
h
e
ex
is
ti
n
g
s
ec
u
r
it
y
m
et
h
o
d
s
u
c
h
a
s
Fei
s
tel,
ad
v
a
n
ce
d
-
en
cr
y
p
tio
n
s
tan
d
ar
d
,
an
d
R
S
A
ar
e
i
n
s
u
f
f
icie
n
t
f
o
r
g
i
v
i
n
g
t
h
e
s
ca
lab
le
a
n
d
r
o
b
u
s
t
s
ec
u
r
it
y
f
o
r
d
iag
n
o
s
tic/
i
m
a
g
e
d
ata
[
1
3
]
.
T
h
is
m
o
d
el
n
ee
d
s
i
m
a
g
e
m
o
d
if
ica
t
io
n
v
i
s
u
all
y
a
n
d
s
tat
icall
y
.
Du
e
to
m
a
s
s
i
v
e
d
ata
s
ize,
a
h
ig
h
co
r
r
elatio
n
b
et
w
ee
n
h
i
g
h
er
r
ed
u
n
d
a
n
c
y
an
d
n
ei
g
h
b
o
r
in
g
[
1
4
]
.
T
h
u
s
,
th
is
lead
in
g
to
v
ar
io
u
s
t
y
p
e
s
o
f
in
v
ite
attac
k
s
an
d
s
u
s
p
icio
u
s
[
1
5
]
.
Ho
w
e
v
er
,
i
n
r
ec
en
t
ti
m
e
s
elec
tiv
e
e
n
cr
y
p
tio
n
h
as
b
ee
n
u
s
ed
to
p
r
o
tect
m
ed
ical
d
ata
th
at
m
in
i
m
ize
c
o
m
p
u
tatio
n
ti
m
e
a
n
d
m
ai
n
ta
in
a
h
i
g
h
le
v
el
o
f
s
ec
u
r
en
e
s
s
.
T
h
i
s
h
as
led
th
e
r
esear
ch
er
to
m
o
d
el
v
ar
io
u
s
s
elec
tiv
e
e
n
cr
y
p
tio
n
m
et
h
o
d
s
f
o
r
s
ec
u
r
in
g
d
i
g
ital
m
ed
ical
i
m
a
g
es
th
at
ca
n
b
e
u
s
ed
f
o
r
p
r
o
v
is
io
n
i
n
g
v
ar
io
u
s
r
ea
l
-
ti
m
e
w
ir
e
less
m
ed
ical
an
d
m
o
b
ile
h
ea
lt
h
ca
r
e
s
er
v
ices
f
o
r
s
af
e
g
u
ar
d
in
g
d
iag
n
o
s
tic
i
n
f
o
r
m
atio
n
.
C
h
ao
tic
s
y
s
te
m
(
C
S)
is
w
el
l
-
k
n
o
w
n
f
o
r
i
n
itial
co
n
d
itio
n
s
an
d
p
ar
a
m
eter
s
,
p
s
e
u
d
o
r
an
d
o
m
n
es
s
,
er
g
o
d
icit
y
,
an
d
r
ep
r
o
d
u
ctio
n
[
1
6
]
.
T
h
u
s
,
in
r
ec
e
n
t
ti
m
es
th
e
n
u
m
b
er
o
f
c
h
ao
tic
b
ased
m
u
lti
m
ed
ia
cr
y
p
to
g
r
ap
h
y
m
o
d
els
h
as
b
e
en
m
o
d
eled
f
o
r
p
r
o
v
is
io
n
i
n
g
s
ec
u
r
it
y
to
m
ed
ical
d
ata
[
1
7
-
2
0
]
.
Ho
w
ev
er
,
th
e
ex
i
s
ti
n
g
c
h
ao
tic
b
ased
s
ec
u
r
it
y
m
et
h
o
d
h
as
ce
r
tain
li
m
itatio
n
s
f
o
r
ex
a
m
p
le
n
o
n
-
u
n
i
f
o
r
m
in
f
o
r
m
at
io
n
d
is
tr
ib
u
tio
n
,
in
ter
m
it
ten
t
c
h
a
o
tic
b
eh
av
io
r
,
an
d
s
o
o
n
.
Fo
r
ad
d
r
ess
i
n
g
t
h
e
a
f
o
r
e
m
e
n
tio
n
ed
p
r
o
b
le
m
s
,
Z
h
o
u
et
al.
,
[
2
1
]
p
r
esen
ted
a
ch
ao
s
-
b
ased
s
ec
u
r
it
y
m
et
h
o
d
w
it
h
e
n
h
an
ce
d
c
h
ao
tic
b
eh
av
io
r
.
DN
A
b
ase
d
cr
y
p
to
s
y
s
te
m
h
a
s
e
m
er
g
ed
as
an
e
f
f
ic
ien
t
m
ec
h
a
n
is
m
in
r
ec
en
t
f
o
r
p
r
o
v
is
io
n
i
n
g
s
ec
u
r
it
y
f
o
r
m
u
lt
i
m
ed
ia
a
n
d
d
ig
ital
d
ata.
T
h
e
m
aj
o
r
b
en
ef
it
o
f
u
s
in
g
DN
A
b
ased
s
ec
u
r
it
y
m
et
h
o
d
p
r
o
v
id
es
an
u
n
b
r
ea
k
ab
le
cr
y
p
to
s
y
s
te
m
,
lo
w
p
o
w
er
co
n
s
u
m
p
tio
n
,
h
u
g
e
d
ata
s
to
r
ag
e,
an
d
lo
w
p
o
w
er
co
n
s
u
m
p
tio
n
[
2
2
]
.
Fu
r
th
er
,
in
liter
atu
r
e
f
e
w
w
o
r
k
s
h
av
e
s
h
o
w
n
t
h
at
s
o
m
e
ch
ao
tic
b
ased
s
ec
u
r
it
y
m
o
d
el
s
ar
e
p
r
o
n
e
to
attac
k
s
[
2
3
,
2
4
]
.
I
n
[
2
4
]
,
s
h
o
w
ed
ch
ao
tic
cr
y
p
to
g
r
ap
h
y
(
C
C
)
m
eth
o
d
m
i
g
h
t
r
e
m
o
v
e
t
h
e
d
if
f
u
s
io
n
e
f
f
ec
t
a
n
d
r
ec
o
n
s
tr
u
c
t
t
h
e
k
e
y
s
tr
u
ctu
r
e
b
y
ap
p
ly
i
n
g
k
n
o
w
n
/c
h
o
s
e
n
p
lain
tex
t
(
P
T
)
an
al
y
s
i
s
.
Fo
r
o
v
er
co
m
in
g
,
s
o
m
e
w
o
r
k
h
as
c
o
m
b
i
n
ed
b
o
th
CS
s
w
i
th
DN
A
cr
y
p
to
g
r
ap
h
ic
m
ec
h
a
n
is
m
s
[
2
5
-
2
7
]
.
Fu
r
t
h
er
m
o
r
e,
[
2
8
]
ca
m
e
u
p
w
it
h
d
y
n
a
m
ic
d
eo
x
y
r
ib
o
n
u
cleic
-
ac
id
en
co
d
in
g
-
tec
h
n
o
lo
g
y
an
d
Fe
is
tel
n
et
w
o
r
k
u
ti
lizi
n
g
th
e
s
tr
u
ctu
r
e
o
f
“
p
er
m
u
tatio
n
-
d
i
f
f
u
s
io
n
-
s
cr
a
m
b
li
n
g
”.
I
n
[
2
9
]
,
r
ep
r
esen
ted
th
e
m
o
d
el
o
f
i
m
ag
e
-
e
n
co
d
in
g
s
ec
u
r
it
y
u
tili
z
in
g
p
i
x
el
a
n
d
b
it
-
le
v
el
s
cr
a
m
b
li
n
g
an
d
p
er
f
o
r
m
ed
t
h
e
en
co
d
in
g
o
p
er
atio
n
o
f
n
u
cleic
-
ac
id
.
T
h
e
ex
p
er
i
m
e
n
tal
r
es
u
lt
r
ep
r
esen
t
s
th
e
s
tate
ar
t
o
f
m
o
d
el
t
h
at
ca
n
f
i
g
h
t
ag
a
in
s
t
th
e
P
T
A
(
p
lain
-
tex
t
-
a
ttack
)
,
s
tatis
t
ical
a
n
d
d
if
f
er
e
n
tial
attac
k
s
a
n
d
SP
S
(
s
tr
o
n
g
-
p
lain
tex
t
-
s
en
s
iti
v
it
y
)
,
ex
ten
s
i
v
e
p
er
f
o
r
m
ed
in
[
3
0
]
s
h
o
w
s
ea
c
h
m
o
d
el
h
as
co
n
s
an
d
p
r
o
s
.
T
h
ey
s
h
o
w
ed
r
ep
r
esen
tin
g
t
h
e
h
y
b
r
id
-
d
e
s
ig
n
m
a
y
n
o
r
e
n
s
u
r
e
th
e
h
i
g
h
s
e
cu
r
it
y
.
As
a
n
o
u
tco
m
e,
f
o
r
p
r
o
v
id
in
g
a
n
ef
f
ec
t
iv
e
an
d
f
ast
s
ec
u
r
it
y
m
o
d
el,
it
i
s
v
er
y
e
m
i
n
en
t
to
r
ep
r
esen
t
t
h
e
en
cr
y
p
tio
n
m
et
h
o
d
an
d
b
it
-
s
cr
a
m
b
lin
g
u
tili
zi
n
g
th
e
DN
A
e
n
co
d
in
g
tech
n
iq
u
e
an
d
ch
ao
tic
s
y
s
te
m
.
Fo
r
o
v
er
co
m
i
n
g
r
esear
ch
c
h
all
en
g
e
s
,
th
is
w
o
r
k
r
ep
r
esen
ts
a
n
e
w
d
ata
m
a
s
k
in
g
tec
h
n
iq
u
e
f
o
r
s
ec
u
r
in
g
th
e
m
ed
ical
d
ata
b
ased
o
n
DNA
e
n
co
d
in
g
tech
n
iq
u
e
a
n
d
ch
ao
tic
s
y
s
te
m
.
Firstl
y
,
it
r
ep
r
esen
ts
t
h
e
ef
f
ec
ti
v
e
b
it
-
s
cr
a
m
b
lin
g
-
tec
h
n
iq
u
e
to
ac
h
iev
e
a
lo
w
er
co
r
r
elatio
n
b
et
w
ee
n
t
h
e
n
e
ig
h
b
o
r
in
g
p
ix
els.
T
h
en
,
t
h
e
b
it
-
r
an
d
o
m
izatio
n
i
s
ca
r
r
ied
o
u
t.
T
h
en
,
th
e
g
i
v
en
i
m
a
g
e
is
en
c
o
d
ed
b
y
u
s
i
n
g
t
h
e
s
u
b
s
tit
u
tio
n
o
f
DN
A
to
r
esis
t
th
e
d
if
f
er
en
t
t
y
p
e
s
o
f
s
ec
u
r
it
y
attac
k
s
li
k
e
d
if
f
er
e
n
tial
an
d
s
tatis
t
ical.
Alo
n
g
w
i
th
it
ca
n
r
esis
t
th
e
cr
o
p
p
in
g
attac
k
.
T
h
e
in
tr
o
d
u
ce
d
i
m
a
g
e
en
cr
y
p
tio
n
m
et
h
o
d
ac
h
iev
es
a
b
etter
p
e
r
f
o
r
m
a
n
ce
o
f
i
m
a
g
e
en
cr
y
p
tio
n
th
a
n
th
e
ex
i
s
ti
n
g
m
o
d
els o
f
i
m
a
g
e
-
en
cr
y
p
tio
n
.
T
h
e
r
esear
ch
co
n
tr
ib
u
tio
n
i
s
d
escr
ib
ed
b
elo
w
-
R
ep
r
esen
ted
a
n
e
f
f
icie
n
t
B
SM
(
b
it
-
s
cr
a
m
b
lin
g
m
et
h
o
d
)
b
y
u
s
in
g
CS
(
c
h
ao
tic
s
eq
u
e
n
ce
)
an
d
P
S
(
P
S)
th
at
h
as a
lo
w
er
co
r
r
elatio
n
a
m
o
n
g
all
n
eig
h
b
o
r
in
g
p
ix
el
s
.
-
T
h
e
p
r
o
p
o
s
ed
m
o
d
el
ca
n
allo
w
t
h
e
d
ec
r
y
p
tio
n
o
f
i
m
a
g
es e
f
f
icien
tl
y
ev
e
n
w
it
h
t
h
e
p
r
esen
c
e
o
f
n
o
is
e.
-
P
r
o
p
o
s
ed
m
o
d
el
attain
s
u
p
er
io
r
p
er
f
o
r
m
a
n
ce
co
n
s
id
er
in
g
in
f
o
r
m
at
io
n
en
tr
o
p
y
(
I
E
)
,
co
r
r
ela
tio
n
co
ef
f
icien
t
(
C
C
)
,
h
is
to
g
r
a
m
(
H)
,
U
A
C
I
,
an
d
NP
C
R
w
h
e
n
co
m
p
ar
ed
w
ith
s
tate
-
of
-
ar
t
m
o
d
el
s
[
1
7
,
2
8
,
2
9
,
3
1
]
.
T
h
u
s
,
it
is
e
f
f
icie
n
t
a
g
ai
n
s
t
v
ar
io
u
s
t
y
p
e
s
o
f
attac
k
s
f
o
r
ex
a
m
p
le
e
n
tr
o
p
y
,
s
tat
is
tical,
cr
o
p
p
in
g
,
n
o
is
e,
p
lain
,
a
n
d
d
if
f
er
e
n
tial a
ttac
k
.
T
h
is
m
a
n
u
s
cr
ip
t
is
d
ef
i
n
ed
as
Sectio
n
1
p
r
o
v
id
es
th
e
in
tr
o
d
u
ctio
n
o
f
i
m
a
g
e
-
en
cr
y
p
t
io
n
u
ti
liz
in
g
ch
ao
tic
-
s
y
s
te
m
a
n
d
th
e
DN
A
en
co
d
in
g
.
F
u
r
t
h
er
,
it
h
ig
h
li
g
h
ts
r
esear
ch
ch
alle
n
g
es,
is
s
u
e
s
,
an
d
p
r
o
b
lem
s
ar
e
r
ep
r
esen
tin
g
th
e
e
f
f
icien
t
d
ata
m
as
k
i
n
g
tec
h
n
iq
u
e.
Sect
io
n
2
d
escr
ib
es
d
if
f
er
en
t
s
t
ate
-
of
-
ar
t
m
e
th
o
d
s
r
ep
r
esen
ted
to
g
iv
e
s
ec
u
r
e
im
ag
e
e
n
cr
y
p
ti
o
n
u
til
izin
g
t
h
e
ch
ao
tic
s
y
s
te
m
,
DN
A
e
n
c
o
d
in
g
.
I
n
s
ec
tio
n
3
th
e
in
tr
o
d
u
ce
d
an
ef
f
icie
n
t
d
ata
m
as
k
i
n
g
tec
h
n
iq
u
e
f
o
r
s
ec
u
r
in
g
t
h
e
m
ed
ical
i
m
ag
e
u
ti
lizin
g
th
e
CS
a
n
d
th
e
DN
A
.
T
h
e
ex
p
er
i
m
en
t
a
n
al
y
s
i
s
an
d
o
u
t
co
m
e
ar
e
d
is
cu
s
s
ed
in
s
ec
t
io
n
4
.
L
a
s
tl
y
,
t
h
e
co
n
cl
u
s
io
n
w
it
h
th
e
f
u
t
u
r
e
r
esear
ch
d
ir
ec
tio
n
o
f
th
is
w
o
r
k
i
s
d
is
cu
s
s
ed
.
2.
L
I
T
E
R
AT
U
RE
SU
RVE
Y
T
h
is
s
ec
tio
n
co
n
d
u
cts
a
n
ex
te
n
s
i
v
e
s
u
r
v
e
y
o
f
t
h
e
v
ar
io
u
s
e
x
is
ti
n
g
m
o
d
el
f
o
r
p
r
o
v
is
io
n
i
n
g
s
ec
u
r
it
y
to
in
f
o
r
m
atio
n
(
i
m
ag
e
s
)
s
h
ar
ed
o
v
er
t
h
e
i
n
ter
n
et.
I
n
[
3
1
]
,
ai
m
ed
at
ad
d
r
ess
i
n
g
th
e
p
atien
t
’
s
s
a
f
et
y
a
n
d
co
n
f
id
e
n
tialit
y
t
h
r
o
u
g
h
t
h
e
r
ef
u
g
e
o
f
m
ed
ical
m
ed
ia.
T
h
e
y
h
av
e
p
r
o
p
o
s
ed
a
m
o
d
el
u
s
i
n
g
CS
(
C
S)
a
n
d
q
u
an
t
u
m
en
cr
y
p
tio
n
f
o
r
p
r
ese
r
v
in
g
t
h
e
p
r
iv
ac
y
o
f
h
ea
l
th
ca
r
e
i
m
a
g
es.
I
n
th
i
s
co
n
tex
t,
e
n
cr
y
p
ted
i
m
a
g
es
ar
e
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
E
n
g
,
Vo
l.
10
,
No
.
6
,
Dec
em
b
er
2
0
2
0
:
6
0
0
8
-
6
0
1
8
6010
s
en
t
to
t
h
e
en
v
ir
o
n
m
en
t
o
f
C
C
(
clo
u
d
co
m
p
u
ti
n
g
)
b
y
th
e
h
ea
lt
h
ca
r
e
-
s
taf
f
i
n
t
h
e
r
esp
ec
tiv
e
ar
ea
.
T
h
e
im
a
g
e
f
r
o
m
t
h
e
clo
u
d
is
r
ec
eiv
ed
with
t
h
e
h
elp
o
f
h
ea
l
th
ca
r
e
-
s
ta
f
f
i
n
t
h
eir
lo
ca
tio
n
.
T
h
e
s
taf
f
o
f
h
ea
lt
h
ca
r
e
ca
n
s
ec
u
r
el
y
s
u
p
p
o
r
t
th
e
u
s
er
s
'
b
y
d
ec
r
y
p
ti
n
g
th
e
i
m
ag
e
co
n
t
en
t.
T
h
e
y
h
av
e
s
u
g
g
ested
a
n
o
v
el
tec
h
n
iq
u
e
f
o
r
en
h
a
n
ce
d
q
u
an
t
u
m
(
E
Q)
o
f
i
m
ag
e
e
n
cr
y
p
tio
n
o
f
t
h
e
h
ea
lt
h
ca
r
e
-
m
ed
ia.
T
h
e
CS
an
d
g
r
a
y
co
d
e
s
et
ar
e
u
tili
ze
d
in
t
h
eir
m
et
h
o
d
.
T
h
e
q
u
an
tu
m
g
r
a
y
-
co
d
e
an
d
q
u
an
t
u
m
i
m
ag
e
s
ar
e
s
cr
a
m
b
led
.
Fo
r
m
er
l
y
,
th
e
i
m
a
g
e
o
f
s
cr
a
m
b
led
-
q
u
an
t
u
m
h
as
en
cr
y
p
ted
th
e
o
p
er
atio
n
o
f
q
u
a
n
t
u
m
XOR
th
a
t
b
u
i
lt
o
n
t
h
e
k
e
y
g
e
n
er
ato
r
b
y
L
S
C
SS
(
l
o
g
i
s
t
i
c
s
i
n
e
-
CS
-
s
e
t
)
.
B
a
s
e
d
o
n
t
h
e
N
E
Q
R
-
q
u
a
n
t
u
m
im
a
g
e
-
d
e
m
o
n
s
t
r
a
t
i
o
n
,
t
h
e
p
r
o
j
e
c
t
e
d
d
e
c
r
y
p
t
i
o
n
/
e
n
c
r
y
p
t
i
o
n
cir
cu
it
’
s
al
g
o
r
it
h
m
is
p
la
n
n
ed
.
T
h
e
en
cr
y
p
tio
n
m
e
th
o
d
o
f
th
e
q
u
an
t
u
m
i
m
a
g
e
i
s
r
o
b
u
s
t,
r
e
aliza
b
le
an
d
it
h
a
s
b
etter
ef
f
icie
n
c
y
w
h
en
ass
o
ci
ated
w
ith
t
h
e
cla
s
s
ical
-
co
u
n
te
r
p
ar
t
th
at
ar
e
r
ep
r
ese
n
ted
b
y
th
e
s
i
m
u
la
tio
n
an
d
n
u
m
er
ical
a
n
al
y
s
es.
I
n
p
ap
er
[
7
]
,
th
e
au
t
h
o
r
ai
m
ed
at
ad
d
r
ess
in
g
t
h
e
c
h
ao
s
-
en
cr
y
p
t
io
n
b
ased
o
n
th
e
b
lin
d
d
i
g
i
tal
i
m
a
g
e
-
w
ater
m
ar
k
i
n
g
tec
h
n
iq
u
e
t
h
at
i
s
ap
p
licab
le
f
o
r
co
lo
r
an
d
g
r
ay
s
ca
le
i
m
a
g
es.
B
e
f
o
r
e
e
m
b
ed
d
in
g
a
w
a
ter
m
ar
k
i
n
th
e
h
o
s
t
-
i
m
a
g
e
o
f
DC
T
m
u
s
t
b
e
u
tili
ze
d
.
Fo
r
m
er
to
th
e
allo
ca
tio
n
o
f
D
C
T
(
Dis
cr
ete
-
co
s
i
n
e
-
tr
an
s
f
o
r
m
)
,
th
e
h
o
s
t
i
m
ag
e
i
s
p
ar
ted
in
to
8
∗
8
n
o
n
-
o
v
er
lap
p
in
g
b
lack
s
v
ia
m
o
d
if
y
in
g
t
h
e
d
if
f
er
e
n
ce
b
etw
ee
n
ad
j
ac
en
t
b
lo
ck
s
o
f
DC
T
-
co
ef
f
icie
n
t
o
f
w
ater
m
ar
k
-
b
it
is
e
m
b
ed
d
ed
.
T
o
ad
d
th
e
d
o
u
b
le
-
la
y
er
o
f
s
ec
u
r
it
y
,
w
h
ic
h
i
s
u
tili
ze
d
to
th
e
W
A
T
(
w
ater
m
ar
k
A
r
n
o
ld
-
tr
an
s
f
o
r
m
)
.
T
h
e
in
tr
o
d
u
ce
d
alg
o
r
ith
m
h
a
s
b
ee
n
an
al
y
ze
d
an
d
test
e
d
b
y
3
v
ar
io
u
s
d
is
s
i
m
ilar
v
ar
ian
ce
s
.
T
h
e
o
u
tco
m
es
r
ep
r
e
s
en
t
th
at
th
eir
m
et
h
o
d
is
r
o
b
u
s
t
to
m
ax
i
m
ize
th
e
o
p
er
atio
n
s
o
f
i
m
ag
e
p
r
o
ce
s
s
i
n
g
lik
e
j
o
in
t
p
ictu
r
e
-
ex
p
e
r
t
g
r
o
u
p
,
s
h
ar
p
e
n
in
g
,
a
n
d
m
e
d
ian
f
i
lter
in
g
a
n
d
cr
o
p
p
in
g
.
T
h
e
ex
p
er
i
m
e
n
tal
r
esu
lt
is
r
ela
ted
to
th
e
s
tate
-
ar
t
-
o
f
m
e
th
o
d
to
a
u
th
o
r
ize
t
h
e
ef
f
icien
c
y
o
f
t
h
eir
m
et
h
o
d
.
T
h
e
o
u
tco
m
e
r
ep
r
esen
ts
b
etter
p
er
f
o
r
m
a
n
ce
in
ter
m
s
o
f
s
ec
u
r
it
y
,
r
o
b
u
s
t
n
es
s
,
an
d
i
m
p
er
ce
p
tib
ilit
y
.
I
n
p
ap
er
[
3
2
]
,
aim
ed
at
ad
d
r
ess
in
g
d
o
u
b
le
-
ch
ao
s
-
s
y
s
te
m
a
n
d
DN
A
-
e
n
cr
y
p
t
io
n
al
g
o
r
ith
m
t
h
at
co
v
er
s
co
u
p
led
-
s
eq
u
e
n
ce
s
et
o
f
latti
ce
-
ch
ao
s
s
y
s
te
m
an
d
Op
tical
-
c
h
ao
s
-
i
n
j
ec
tio
n
,
n
o
v
el
i
m
ag
e
en
cr
y
p
tio
n
t
h
e
n
th
e
tr
an
s
m
is
s
io
n
s
y
s
te
m
is
i
n
tr
o
d
u
ce
d
w
ith
s
a
m
e
c
h
ao
s
in
j
ec
tio
n
f
o
r
m
laser
w
i
th
2
-
o
p
tical
r
esp
o
n
s
es,
t
w
o
(
S
L
2
an
d
S
L
1
)
ca
n
o
u
tp
u
t
th
e
s
a
m
e
c
h
ao
tic
s
i
g
n
a
ls
ca
n
b
e
s
er
v
ed
as
o
n
e
o
f
t
h
e
c
h
ao
ti
c
-
ca
r
r
ier
to
p
ass
o
n
th
e
g
i
v
en
i
m
a
g
e
a
n
d
u
tili
ze
d
to
g
e
n
er
ate
t
h
e
e
n
cr
y
p
tio
n
m
eth
o
d
.
T
h
e
r
u
le
o
f
DN
A
co
m
p
le
m
en
tar
y
ca
n
b
e
g
en
er
ated
b
y
1
2
8
-
b
it
-
k
e
y
w
h
i
ch
is
u
t
ilized
o
r
i
g
in
al
-
v
al
u
e
o
f
d
u
al
-
ch
ao
tic
-
s
y
s
te
m
,
t
h
er
ef
o
r
e
th
e
k
e
y
i
s
o
n
e
o
f
th
e
h
y
p
er
s
e
n
s
iti
v
e
i
n
t
h
e
p
r
o
ce
s
s
o
f
e
n
cr
y
p
tio
n
an
d
d
ec
r
y
p
tio
n
p
r
o
ce
s
s
.
T
h
e
ch
ao
tic
s
y
n
ch
r
o
n
izatio
n
a
m
id
SL
1
an
d
S
L
2
is
d
esire
d
th
r
o
u
g
h
n
u
m
er
ical
ex
p
er
i
m
en
ta
l o
u
tc
o
m
e
s
o
f
t
h
e
cr
o
s
s
-
co
r
r
elatio
n
f
u
n
ct
io
n
.
I
n
[
2
9
]
,
aim
ed
at
ad
d
r
ess
in
g
a
n
o
v
el
i
m
ag
e
e
n
cr
y
p
tio
n
s
ch
e
m
e
h
a
s
b
ee
n
p
r
o
j
ec
te
d
w
ith
th
e
h
elp
o
f
p
ix
el
-
lev
el
s
cr
a
m
b
l
in
g
(
P
L
S),
DN
A
e
n
co
d
in
g
,
an
d
b
it
-
le
v
el
s
cr
a
m
b
li
n
g
(
B
L
S)
.
H
y
p
e
r
-
ch
ao
s
s
y
s
te
m
i
s
co
m
p
u
ted
an
d
c
h
ao
s
s
eq
u
en
ce
is
g
e
n
er
ated
u
s
i
n
g
i
n
itia
l
co
n
d
itio
n
s
o
f
f
i
v
e
-
d
i
m
e
n
s
io
n
al.
I
t
is
p
r
o
v
ed
th
at
t
h
eir
s
ch
e
m
e
is
v
er
y
s
a
f
e
an
d
ca
n
r
esis
t
k
n
o
w
n
P
T
A
,
DA
,
a
n
d
SA
b
y
co
n
d
u
cti
n
g
e
x
p
er
i
m
e
n
ts
a
n
d
th
eo
r
etica
l
an
al
y
s
is
.
I
t is
s
u
itab
le
f
o
r
p
r
ac
tical
ap
p
licatio
n
.
I
n
p
ap
er
[
2
8
]
,
aim
ed
at
ad
d
r
ess
i
n
g
d
y
n
a
m
ic
-
DN
A
-
e
n
co
d
in
g
tech
n
o
lo
g
y
a
n
d
FN
(
Feis
te
l
-
n
e
t
w
o
r
k
)
,
an
i
m
a
g
e
en
cr
y
p
tio
n
m
et
h
o
d
is
esti
m
ated
b
y
t
h
e
h
elp
o
f
P
FS
-
s
tr
u
c
tu
r
e
(
p
er
m
u
ta
tio
n
-
d
if
f
u
s
io
n
-
s
cr
a
m
b
li
n
g
)
.
T
h
e
alg
o
r
ith
m
o
f
SH
A
-
3
i
s
u
s
ed
to
ca
lcu
late
h
a
s
h
-
v
alu
e
o
f
p
lain
-
te
x
t
as
p
r
eli
m
in
ar
y
-
v
al
u
e
o
f
h
y
p
er
-
sy
s
te
m
o
f
ch
ao
s
a
n
d
g
en
er
ated
t
h
e
s
eq
u
en
ce
o
f
ch
ao
tic
is
u
t
ilized
to
cr
ate
HC
M
(
Hill
-
cip
h
er
-
m
atr
ix
)
to
s
u
b
s
t
itu
te
th
e
p
i
x
el
o
f
an
i
m
ag
e.
W
h
er
e
as
i
n
[
1
7
]
,
th
e
a
u
th
o
r
ai
m
ed
t
o
p
r
o
tect
d
ig
ital
-
m
ed
ia
d
ata
f
r
o
m
co
u
n
ter
f
e
it
a
n
d
f
r
au
d
as
th
e
y
ar
e
s
e
n
t
o
v
er
p
u
b
lic
-
c
h
a
n
n
e
l.
I
t
is
v
er
y
h
ar
d
to
s
en
d
all
lar
g
er
m
ed
ical
d
ata
w
it
h
i
m
p
r
o
v
i
s
ed
th
e
d
ata
-
tr
a
f
f
ic.
Di
f
f
er
e
n
t
n
o
v
el
m
eth
o
d
s
h
av
e
co
m
e
i
n
to
th
e
i
m
ag
e
to
m
i
n
i
m
ize
tr
af
f
ic
w
h
ile
u
p
h
o
ld
in
g
ad
eq
u
ate
s
ec
u
r
it
y
-
lev
el.
T
h
is
alg
o
r
ith
m
co
n
s
is
t
s
o
f
th
r
ee
p
h
ase
s
lik
e
p
er
m
u
tati
o
n
,
en
co
d
in
g
,
a
n
d
d
if
f
u
s
io
n
.
I
n
all
o
f
th
e
p
h
a
s
es,
t
h
e
p
r
ec
is
e
ass
o
r
t
m
en
t
o
f
th
e
r
u
leset
is
d
ep
en
d
s
o
n
k
e
y
-
s
eq
u
e
n
ce
t
h
at
p
r
o
d
u
ce
d
f
r
o
m
j
o
in
ed
-
m
et
h
o
d
.
T
h
e
ex
p
er
i
m
en
tal
r
es
u
lt
is
ca
r
r
ied
o
u
t
t
o
v
alid
ate
d
ev
elo
p
ed
r
esis
ta
n
ce
al
g
o
r
ith
m
s
to
DA
,
S
A
,
a
n
d
B
F
A
.
Fro
m
an
ex
te
n
s
iv
e
s
u
r
v
e
y
ca
r
r
ied
o
u
t,
it
ca
n
b
e
s
ee
n
u
s
in
g
d
eo
x
y
r
ib
o
s
e
n
u
cleic
ac
id
s
eq
u
en
ce
a
n
d
h
y
p
er
CS
f
o
r
p
er
f
o
r
m
in
g
e
n
cr
y
p
t
io
n
o
n
i
m
ag
e
a
id
s
ec
u
r
i
t
y
p
er
f
o
r
m
a
n
ce
.
T
h
e
ex
is
ti
n
g
en
cr
y
p
tio
n
m
o
d
el
f
o
r
th
e
i
m
ag
e
u
s
i
n
g
b
o
th
h
y
p
er
CS
an
d
DN
A
s
eq
u
en
ce
s
ca
n
f
i
g
h
t
a
g
ai
n
s
t
D
A
t
y
p
es
f
o
r
ex
a
m
p
le
B
F
A
,
D
A
,
E
A
,
an
d
S
A
.
Ho
w
ev
er
,
n
o
p
r
io
r
w
o
r
k
ca
n
r
esi
s
t
ag
a
in
s
t
C
A
.
T
h
i
s
is
a
d
u
e
co
r
r
elatio
n
a
m
o
n
g
t
h
e
ad
j
ac
en
t
p
ix
el
i
s
v
er
y
h
i
g
h
.
T
h
u
s
,
th
e
b
it
an
d
p
ix
el
s
cr
a
m
b
li
n
g
tech
n
iq
u
e
a
r
e
n
o
t
e
f
f
ic
ien
t.
T
h
u
s
,
t
h
er
e
i
s
a
r
eq
u
ir
e
m
en
t
t
o
d
ev
elo
p
a
n
e
w
i
m
a
g
e
en
cr
y
p
t
io
n
m
o
d
el
t
h
at
o
v
er
co
m
es
t
h
e
ab
o
v
e
-
m
en
t
io
n
ed
r
esear
ch
p
r
o
b
lem
.
T
h
is
p
ap
er
p
r
esen
ts
s
u
c
h
a
s
ec
u
r
it
y
m
o
d
el
in
th
e
n
e
x
t
s
ec
t
io
n
b
elo
w
n
a
m
el
y
,
an
ef
f
ic
ien
t
d
ata
m
ask
i
n
g
m
et
h
o
d
f
o
r
s
ec
u
r
i
n
g
t
h
e
m
ed
ical
-
i
m
a
g
e
u
s
in
g
t
h
e
c
h
ao
tic
s
y
s
te
m
an
d
d
e
o
x
y
r
ib
o
s
e
-
n
u
cleic
ac
id
en
co
d
i
n
g
.
3.
AN
E
F
F
I
C
I
E
NT
DA
T
A
M
ASK
I
N
G
M
E
T
H
O
D
F
O
R
SE
CUR
I
N
G
M
E
DICA
L
D
AT
A
US
I
N
G
DE
O
XYR
I
B
O
SE
NUC
L
E
I
C
ACID EN
CO
DIN
G
AND
C
H
AO
T
I
C
SY
ST
E
M
T
h
is
s
ec
tio
n
p
r
esen
ts
a
n
e
f
f
ici
en
t
-
d
ata
-
m
as
k
i
n
g
(
E
DM
)
m
et
h
o
d
f
o
r
s
ec
u
r
i
n
g
th
e
m
ed
ical
i
m
a
g
e
a
n
d
m
u
lti
m
ed
ia
.
Firstl
y
,
th
e
n
e
w
-
ch
ao
tic
-
s
eq
u
e
n
ce
o
f
th
e
g
e
n
er
atio
n
-
m
o
d
el
is
re
p
r
esen
ted
.
T
h
en
,
th
e
s
y
s
te
m
m
o
d
el
is
d
e
f
i
n
ed
f
o
r
p
er
f
o
r
m
in
g
t
h
e
en
cr
y
p
tio
n
o
n
t
h
e
m
e
d
ical
i
m
a
g
e
a
n
d
m
u
lt
i
m
ed
ia
.
T
h
en
,
it
r
e
p
r
esen
t
s
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
A
n
efficien
t d
a
ta
ma
s
kin
g
fo
r
s
ec
u
r
in
g
med
ica
l d
a
ta
u
s
in
g
(
S
id
d
a
r
th
a
B
.
K
.
)
6011
a
b
it
-
s
cr
a
m
b
lin
g
-
m
eth
o
d
an
d
k
e
y
g
e
n
er
atio
n
.
Fi
n
a
ll
y
,
it
r
e
p
r
esen
t
s
a
n
en
cr
y
p
tio
n
tec
h
n
iq
u
e
f
o
r
s
ec
u
r
i
n
g
th
e
m
ed
ical
i
m
ag
e
a
n
d
m
u
l
ti
m
ed
ia
.
T
h
e
b
elo
w
-
g
iv
e
n
b
lo
ck
d
iag
r
a
m
o
f
t
h
e
i
n
tr
o
d
u
ce
d
d
ata
m
as
k
i
n
g
tech
n
iq
u
e
f
o
r
s
ec
u
r
i
n
g
t
h
e
m
ed
ical
i
m
a
g
e,
w
h
ich
i
s
r
ep
r
esen
ted
in
F
ig
u
r
e
1.
Fig
u
r
e
1
.
T
h
e
ar
ch
itectu
r
e
o
f
p
r
o
p
o
s
ed
ef
f
icien
t d
ata
m
as
k
i
n
g
m
et
h
o
d
u
s
in
g
DN
A
en
co
d
in
g
an
d
c
h
ao
tic
s
y
s
te
m
3
.
1
.
No
v
el
CS
m
et
ho
d
E
DM
-
m
o
d
el
o
v
er
co
m
es
t
h
e
d
is
ad
v
a
n
tag
e
o
f
ex
is
ti
n
g
-
C
S
b
ased
s
ec
u
r
it
y
tec
h
n
iq
u
e.
T
h
e
in
tr
o
d
u
ce
d
n
e
w
NC
S (
n
o
v
e
l
-
c
h
ao
tic
-
s
eq
u
en
ce
)
is
d
ef
i
n
ed
as f
o
llo
w
s
:
+
1
c
os
(
(
(
,
)
+
(
,
)
+
)
)
,
(
1
)
w
h
er
e,
(
,
)
an
d
(
,
)
r
ep
r
esen
ts
th
e
s
ets
o
f
C
S
(
ch
ao
tic
-
s
eq
u
en
c
e)
d
ef
in
ed
as
th
e
s
ets
o
f
s
e
e
d
-
s
e
q
u
e
n
c
e
,
a
n
d
r
e
p
r
e
s
e
n
t
t
h
e
s
e
t
s
o
f
c
o
n
t
r
o
l
-
p
a
r
a
m
e
t
e
r
s
’
s
e
e
d
-
s
e
q
u
e
n
c
e
a
n
d
i
s
d
e
f
i
n
e
d
a
s
t
h
e
p
a
r
a
m
e
t
e
r
th
a
t
d
ep
ictin
g
t
h
e
s
h
i
f
ti
n
g
co
n
s
ta
n
t
l
y
.
Fro
m
(
1
)
,
it
ca
n
b
e
s
ee
n
t
h
at
o
u
r
m
o
d
el
a
s
s
o
ciate
s
t
h
e
r
esu
lt
o
f
(
,
)
an
d
(
,
)
w
ith
.
Af
ter
t
h
at,
it
p
er
f
o
r
m
ed
th
e
co
s
in
e
-
tr
a
n
s
f
o
r
m
atio
n
f
o
r
g
e
n
er
a
tin
g
th
e
r
es
u
lt.
T
h
e
f
u
n
ctio
n
o
f
as
s
o
ciatio
n
aid
in
ef
f
icien
tl
y
s
h
u
f
f
le
-
C
S
a
n
d
s
c
r
a
m
b
le
d
y
n
a
m
ic
s
o
f
2
-
s
ee
d
-
s
eq
u
en
ce
s
et
s
.
F
u
r
th
er
m
o
r
e,
u
tili
zin
g
t
h
e
co
s
i
n
e
-
tr
an
s
f
o
r
m
atio
n
th
at
aid
in
g
e
ttin
g
th
e
h
ig
h
er
co
m
p
lex
n
o
n
lin
ea
r
it
y
.
As
an
o
u
tco
m
e,
th
e
s
ets
o
f
a
ch
ao
tic
s
y
s
te
m
ac
h
iev
ed
b
y
u
tili
zi
n
g
th
e
i
n
tr
o
d
u
ce
d
tec
h
n
iq
u
e
a
n
d
ex
h
ib
it
th
e
co
m
p
le
x
-
b
e
h
av
io
r
.
T
h
is
is
d
u
e
to
th
e
s
et
s
o
f
s
ee
d
-
s
eq
u
e
n
ce
(
,
)
an
d
(
,
)
in
in
tr
o
d
u
ce
d
C
S
th
at
c
an
b
e
th
e
s
et
s
o
f
ex
i
s
ti
n
g
C
S,
th
e
s
er
v
ice
s
u
b
s
cr
ib
er
an
d
p
r
o
v
id
er
ca
n
u
ti
lize
v
ar
io
u
s
co
m
b
in
at
io
n
s
o
f
th
e
e
x
is
ti
n
g
C
S
-
s
ets
to
g
e
n
er
ate
th
e
v
ar
io
u
s
s
et
s
o
f
C
S f
lex
ib
l
y
.
3
.
2
.
A
s
y
s
t
em
m
o
del o
f
pro
po
s
ed
da
t
a
m
a
s
kin
g
m
o
del f
o
r
perf
o
r
m
i
ng
encr
y
ptio
n o
f
m
ulti
m
edia
i
m
a
g
e
W
h
en
th
e
s
e
ts
o
f
C
S
u
s
e
d
in
p
e
r
f
o
r
m
in
g
th
e
en
cr
y
p
ti
o
n
o
p
e
r
a
ti
o
n
s
,
th
e
co
m
p
lex
i
ty
-
f
ea
tu
r
e
o
f
C
S
d
o
m
in
ates
s
ec
u
r
ity
f
ea
tu
r
es
o
f
th
e
c
r
y
p
t
o
g
r
a
p
h
y
-
m
ec
h
an
is
m
.
He
r
e
,
w
e
r
e
p
r
esen
t
a
n
ew
en
cr
y
p
ti
o
n
t
ec
h
n
iq
u
e
u
s
in
g
in
tr
o
d
u
ce
d
th
e
s
ets
o
f
L
SC
C
S
cr
ea
te
d
b
y
u
tili
zin
g
th
e
NC
S.
Fo
r
a
ch
iev
in
g
a
h
ig
h
l
ev
el
o
f
en
c
r
y
p
tio
n
-
s
tan
d
ar
d
,
th
is
w
o
r
k
m
ain
ly
u
tili
ze
s
th
e
o
r
g
an
iz
ati
o
n
o
f
c
o
n
f
u
s
io
n
-
d
if
f
u
s
io
n
.
T
h
e
s
e
cu
r
e
-
k
ey
cr
ea
tes
th
e
s
e
ts
o
f
p
r
e
lim
in
ar
y
s
tate
f
o
r
th
e
s
et
o
f
SC
C
S
t
o
g
en
e
r
a
te
th
e
C
S
t
h
at
p
r
o
v
i
d
es
b
e
tte
r
E
B
S
(
ef
f
ici
en
t
b
it
s
cr
am
b
lin
g
)
an
d
A
SS
(
a
r
b
it
r
a
r
y
s
eq
u
en
c
e
s
u
b
s
ti
tu
ti
o
n
)
.
T
h
e
E
B
S
ca
n
b
e
m
o
d
e
le
d
in
s
u
ch
a
w
ay
th
at
it
s
e
p
a
r
ates
th
e
n
eig
h
b
o
r
in
g
-
p
ix
el
in
to
a
d
i
s
tin
ct
p
o
s
it
io
n
.
W
h
e
r
e
as,
A
SS
is
u
s
e
d
t
o
o
p
t
im
ize
th
e
v
alu
e
o
f
a
p
ix
el
b
ase
d
o
n
th
e
PS
th
a
t
is
esta
b
lis
h
ed
b
y
C
S.
A
f
ter
th
at,
th
e
d
if
f
u
s
io
n
an
d
E
B
S
p
r
o
c
ess
f
o
r
a
c
e
r
tain
it
er
ati
o
n
,
th
e
im
ag
e
o
f
p
la
in
-
m
u
ltim
ed
ia
is
en
cr
y
p
t
ed
b
y
u
s
in
g
th
e
r
u
le
o
f
DNA
co
d
i
n
g
to
g
et
th
e
s
e
cu
r
e
-
c
ip
h
er
im
ag
e.
3
.
3
.
DNA
enco
din
g
a
nd
bin
a
riza
t
io
n
T
h
e
s
e
q
u
en
c
es
o
f
DNA
ar
e
g
e
n
er
a
te
d
as
Gu
an
in
e
(
G
)
,
T
h
y
m
in
e
(
T
)
,
C
y
to
s
in
e
(
C
)
,
an
d
ad
e
n
in
e
(
A
)
b
y
u
tili
zin
g
n
u
cle
ic
-
ac
id
-
b
as
es.
T
h
e
ad
en
in
e
an
d
th
y
m
in
e
ar
e
c
o
m
p
lem
en
ts
to
ea
ch
o
th
e
r
.
Sa
m
e
as,
‘
C
’
an
d
‘
G’
ar
e
als
o
c
o
m
p
lem
en
tin
g
to
o
th
er
e
ac
h
o
th
e
r
.
Sin
ce
,
w
e
u
tili
ze
2
0
b
i
t
-
b
in
a
r
y
(
i.
e.
,
‘
1
’
an
d
‘
0
’
)
to
d
e
p
ic
t
th
e
DNA
b
as
e
th
at
als
o
co
m
p
l
em
en
ts
to
e
ac
h
o
th
e
r
.
T
h
is
w
o
r
k
als
o
u
tili
z
es
th
e
r
u
l
es
th
at
s
at
is
f
y
t
h
e
r
u
le
o
f
W
a
ts
o
n
-
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
E
n
g
,
Vo
l.
10
,
No
.
6
,
Dec
em
b
er
2
0
2
0
:
6
0
0
8
-
6
0
1
8
6012
C
r
ick
[
2
8
,
2
9
,
3
3
]
,
w
h
ich
co
n
s
is
ti
n
g
8
-
r
u
l
es
in
b
el
o
w
g
iv
en
T
ab
l
es
1
an
d
2
.
Fu
r
th
e
r
m
o
r
e
,
D
NA
co
m
p
u
tin
g
lik
e
XOR,
s
u
b
t
r
a
cti
o
n
,
an
d
a
d
d
iti
o
n
o
p
e
r
a
ti
o
n
is
p
e
r
f
o
r
m
ed
b
y
u
s
in
g
th
e
o
p
e
r
ati
o
n
o
f
o
l
d
-
f
as
h
i
o
n
e
d
as
r
e
p
r
es
en
te
d
in
T
ab
le
s
3
-
5
r
es
p
ec
tiv
ely
.
T
ab
le
1
.
E
n
co
d
in
g
/DN
A
co
d
in
g
r
u
le
s
et
R
u
l
e
1
2
3
4
5
6
7
8
00
A
A
C
G
C
G
T
T
11
T
T
G
C
G
C
A
A
01
C
G
A
A
T
T
C
G
10
G
C
T
T
A
A
G
C
T
ab
le
2
.
E
n
co
d
in
g
r
u
le
s
et
R
u
l
e
1
2
3
4
5
6
7
8
A
00
00
01
10
01
10
11
11
G
10
01
11
11
00
00
10
01
T
11
11
10
01
10
01
00
00
C
01
10
00
00
11
11
01
10
T
ab
le
3
.
Deo
x
y
r
ib
o
s
e
n
u
cleic
ac
id
s
eq
u
en
ce
s
u
b
tr
ac
tio
n
f
u
n
ct
io
n
---
A
C
G
T
G
G
C
A
T
C
C
A
T
G
A
A
T
G
C
T
T
G
C
A
T
ab
le
4
.
Deo
x
y
r
ib
o
s
e
n
u
cleic
ac
id
s
eq
u
en
ce
s
ad
d
itio
n
f
u
n
ctio
n
+
+
+
A
C
G
T
G
G
T
A
C
C
C
G
T
A
A
A
C
G
T
T
T
A
C
G
T
ab
le
5
.
Deo
x
y
r
ib
o
s
e
n
u
cleic
ac
id
s
eq
u
en
ce
XOR
f
u
n
ctio
n
X
OR
A
C
G
T
T
T
G
C
A
G
G
T
A
C
C
C
A
T
G
A
A
C
G
T
3.
4
.
K
ey
g
ener
a
t
io
n a
nd
ef
f
i
cient
B
SM
:
T
h
e
s
e
cu
r
e
k
ey
g
en
er
ates
a
s
et
o
f
L
SC
C
S
-
p
r
elim
in
ar
y
.
T
h
e
s
ize
-
len
g
th
o
f
s
e
cu
r
e
-
k
ey
is
in
tr
o
d
u
ce
d
in
L
SC
C
S
b
ase
d
o
n
th
e
im
ag
e
-
en
cr
y
p
ti
o
n
m
eth
o
d
,
w
h
ich
is
f
ix
ed
t
o
2
5
-
b
i
ts
w
h
er
e
2
256
k
e
y
-
s
p
ac
e
is
.
E
B
S
is
m
o
d
ele
d
to
r
em
o
v
e
an
d
m
in
im
ize
th
e
p
ix
el
c
o
r
r
ela
ti
o
n
a
m
o
n
g
n
eig
h
b
o
r
in
g
-
p
ix
els
.
I
t
i
s
p
er
f
o
r
m
ed
w
ith
in
th
e
b
l
o
ck
o
f
s
q
u
a
r
e
-
m
atr
ix
as
f
o
ll
o
w
s
:
M
2
∗
M
2
,
W
h
e
r
e
is
r
ep
r
esen
te
d
as
th
e
s
i
ze
o
f
th
e
b
l
o
ck
.
Su
ch
as
,
c
o
n
s
i
d
e
r
e
d
th
e
s
iz
e
o
f
th
e
m
u
ltim
ed
ia
-
d
ata
∗
to
b
e
en
c
r
y
p
te
d
th
en
b
l
o
ck
-
s
i
ze
is
c
o
m
p
u
ted
b
y
u
s
in
g
th
e
f
o
ll
o
w
in
g
.
=
min
{
⌊
√
⌋
,
⌊
√
⌋
}
,
(
2
)
W
h
e
r
e
,
⌊
√
⌋
s
h
o
w
s
f
lo
o
r
-
f
u
n
cti
o
n
t
o
p
o
s
s
ess
th
e
h
ig
h
in
t
eg
er
w
h
ich
is
h
ig
h
e
r
th
an
.
I
n
th
is
E
B
S
,
th
e
im
ag
e
is
en
cr
y
p
t
ed
in
t
o
th
e
b
l
o
ck
s
2
.
T
h
en
b
as
e
d
o
n
C
S,
it
ca
n
b
e
g
en
er
at
ed
p
ix
el
in
e
ac
h
o
f
th
e
r
o
w
s
th
at
ar
e
p
er
m
u
tate
d
in
t
o
d
is
t
in
ct
-
b
l
o
ck
s
.
A
f
ter
w
ar
d
.
I
n
ea
ch
-
b
l
o
ck
th
e
ir
-
p
o
s
iti
o
n
is
esta
b
l
is
h
ed
b
y
u
tili
zin
g
th
e
o
th
e
r
-
C
S.
3
.
5
.
P
r
o
po
s
ed
bit
-
s
cr
a
m
bli
n
g
-
m
o
del
T
h
e
m
u
ltim
ed
ia
-
im
ag
e
ca
n
b
e
r
o
tat
e
d
as
cl
o
ck
w
is
e
b
y
th
e
h
e
lp
o
f
r
ig
h
t
-
an
g
le
th
en
E
B
S
is
c
ar
r
ie
d
o
u
t
w
ith
th
e
l
im
it
o
f
2
∗
2
an
d
th
e
s
i
ze
o
f
a
b
l
o
ck
is
o
b
tain
e
d
b
y
(
2
)
.
T
h
is
im
ag
e
h
as
∗
s
ize
,
a
ll
o
f
th
e
p
ix
els
w
ill
b
e
g
iv
en
an
d
s
cr
am
b
led
as
=
√
=
√
.
A
ll
o
f
th
e
g
iv
en
p
ix
els
ar
e
s
cr
am
b
led
f
o
r
en
s
u
r
in
g
th
e
im
ag
e
an
g
l
e
w
h
ich
is
v
a
r
i
e
d
b
y
r
ig
h
t
-
an
g
le
in
th
e
cl
o
ck
w
is
e
-
d
i
r
e
cti
o
n
w
ith
s
u
cc
ess
iv
e
-
E
B
S.
3
.
6
.
H
i
g
h di
m
e
ns
io
na
l i
m
a
g
e
encr
y
ptio
n
m
et
ho
do
lo
g
y
T
h
e
E
B
S
ai
d
in
g
ett
in
g
a
l
o
w
er
co
r
r
elat
io
n
b
etw
ee
n
n
eig
h
b
o
r
in
g
p
ix
els
.
It
is
an
ai
d
i
n
ac
h
iev
in
g
th
e
c
o
m
p
lex
c
o
r
r
es
p
o
n
d
en
ce
o
f
n
o
n
-
lin
ea
r
b
e
tw
ee
n
cip
h
er
p
ix
e
l
an
d
in
p
u
t
p
ix
e
l
th
at
aid
in
m
ax
i
m
izin
g
th
e
s
e
cu
r
ity
lev
e
l.
Fi
r
s
tly
,
A
SS
an
d
E
B
is
c
ar
r
i
e
d
o
u
t
o
n
i
m
a
g
e
w
i
th
s
ize
∗
to
g
et
th
e
b
i
n
ar
y
s
eq
u
en
ce
1
.
T
h
en
,
en
co
d
ed
1
b
y
u
t
ilizi
n
g
th
e
s
eq
u
e
n
ce
1
.
T
h
en
,
th
e
o
p
er
atio
n
o
f
D
N
A
a
d
d
itio
n
is
p
er
f
o
r
m
ed
o
n
e
v
er
y
s
in
g
le
s
e
q
u
en
ce
o
f
1
to
p
o
s
s
es
2
.
L
as
tl
y
,
th
e
s
eq
u
e
n
ce
is
r
e
m
o
v
ed
f
o
r
ch
ao
tic
-
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
A
n
efficien
t d
a
ta
ma
s
kin
g
fo
r
s
ec
u
r
in
g
med
ica
l d
a
ta
u
s
in
g
(
S
id
d
a
r
th
a
B
.
K
.
)
6013
s
eq
u
en
ce
.
P
o
s
t
th
at,
th
e
s
eq
u
en
ce
is
tr
an
s
f
o
r
m
ed
i
n
to
th
e
b
in
ar
y
f
o
r
m
.
ca
n
b
e
en
co
d
e
d
to
g
et
u
tili
zi
n
g
3
rd
en
co
d
in
g
r
u
le.
T
h
en
,
f
o
r
g
etti
n
g
t
h
e
s
eq
u
e
n
ce
s
3
th
e
DNA
ad
d
itio
n
b
et
w
ee
n
an
d
2
is
p
er
f
o
r
m
ed
.
T
h
en
t
h
e
th
r
es
h
o
ld
f
u
n
ctio
n
is
ex
p
r
es
s
ed
as:
=
{
0
,
0
≤
≤
,
1
,
0
<
≤
.
(
3
)
F
o
r
a
c
h
ie
v
in
g
th
e
s
e
q
u
en
ce
o
f
D
NA
4
.
F
o
r
a
c
h
i
ev
in
g
th
e
b
in
a
r
y
-
s
e
q
u
en
c
e
1
,
t
h
e
f
i
r
s
t
r
u
l
e
o
f
DNA
c
o
d
i
n
g
is
u
s
e
d
t
o
4
d
e
c
o
d
e
.
T
h
e
n
f
o
r
a
ch
i
ev
i
n
g
t
h
e
s
e
q
u
en
c
es
o
f
c
i
p
h
e
r
b
in
a
r
y
3
b
i
tw
is
e
XO
R
o
p
e
r
a
ti
o
n
is
p
e
r
f
o
r
m
e
d
b
e
tw
e
en
a
n
d
2
.
F
in
a
lly
,
3
is
c
o
n
v
e
r
t
e
d
t
o
t
h
e
c
ip
h
e
r
im
ag
e
.
S
am
e
,
t
o
th
e
o
p
e
r
a
t
i
o
n
o
f
d
e
c
r
y
p
t
i
o
n
an
d
en
c
r
y
p
t
i
o
n
i
s
p
e
r
f
o
r
m
e
d
in
a
r
e
v
e
r
s
e
m
an
n
e
r
.
T
h
e
o
u
t
c
o
m
e
a
ch
i
ev
e
d
r
e
p
r
es
en
ts
th
e
E
D
M
m
o
d
e
l
t
o
a
t
t
a
in
b
et
t
e
r
p
e
r
f
o
r
m
an
c
e
th
an
th
e
ex
is
tin
g
s
e
cu
r
ity
m
o
d
el
th
a
t
i
s
p
r
o
v
en
ex
p
e
r
im
en
t
al
ly
b
e
lo
w
.
4.
RE
SU
L
T
S
AND
D
I
SCU
SS
I
O
N
T
h
is
s
ec
tio
n
e
v
alu
ate
s
t
h
e
ac
h
iev
ed
o
u
tco
m
e
b
y
t
h
e
i
n
tr
o
d
u
ce
d
E
DM
m
o
d
el
o
v
er
ex
i
s
ti
n
g
s
ec
u
r
it
y
-
m
o
d
el
[
2
8
,
2
9
]
in
ter
m
s
o
f
t
h
e
co
r
r
elatio
n
co
ef
f
icie
n
t
(
C
C
)
,
h
is
to
g
r
a
m
a
n
al
y
s
i
s
(
H
A
)
,
a
n
u
m
b
er
o
f
p
ix
e
l
ch
an
g
e
r
ate
(
NP
C
R
)
,
an
d
u
n
i
f
o
r
m
av
er
ag
e
c
h
an
g
i
n
g
i
n
t
en
s
it
y
(
U
A
C
I
)
,
an
d
I
n
f
o
r
m
a
tio
n
en
tr
o
p
y
(
I
E
)
.
T
h
e
m
o
d
el
is
i
m
p
le
m
e
n
ted
b
y
u
s
in
g
Ma
tlab
2
0
1
8
-
f
r
a
m
e
wo
r
k
to
o
l.
Fo
r
th
e
an
al
y
s
is
,
we
u
s
e
th
e
o
b
tain
ed
m
ed
ical
i
m
a
g
e
f
r
o
m
[
3
4
]
.
Fu
r
th
er
,
w
e
u
ti
lize
s
tan
d
ar
d
2
5
6
∗
2
5
6
L
en
a,
a
er
ial
i
m
ag
e,
P
ep
p
er
f
o
r
t
h
e
a
n
al
y
s
i
s
.
A
ll t
h
e
g
iv
e
n
i
m
a
g
e
u
ti
lized
f
o
r
th
e
ex
p
er
i
m
e
n
t a
n
al
y
s
is
i
s
p
r
esen
ted
i
n
b
elo
w
g
iv
e
n
Fi
g
u
r
e
2.
(
a)
(
b
)
(
c)
(
d
)
(
e)
(
f
)
Fig
u
r
e
2
.
I
m
a
g
es
u
s
ed
f
o
r
ex
p
er
i
m
en
t a
n
al
y
s
i
s
4
.
1
.
H
is
t
o
g
ra
m
perf
o
r
m
a
nc
e
ev
a
lua
t
io
n
T
h
e
s
tatis
tical
p
r
o
p
er
ties
o
f
m
ed
ical
d
ata
s
h
o
w
t
h
e
d
is
tr
i
b
u
tio
n
p
r
o
p
er
ties
o
f
g
r
a
y
p
ar
a
m
eter
s
o
f
th
e
i
n
p
u
t
m
ed
ical
co
n
te
n
t
to
a
n
ass
u
r
ed
lev
el.
F
u
r
t
h
er
,
th
e
h
is
to
g
r
a
m
m
e
tr
ic
is
co
n
s
id
er
ed
to
b
e
a
s
ig
n
i
f
ica
n
t
f
ac
to
r
in
p
er
f
o
r
m
i
n
g
en
cr
y
p
t
io
n
o
n
m
ed
ical
d
ata
to
s
ee
if
i
t
m
o
d
i
f
ies
th
e
s
tati
s
tica
l
d
is
tr
ib
u
tio
n
(
SD)
p
r
o
p
er
ties
o
f
th
e
i
n
p
u
t
m
u
lti
m
ed
ia
d
ata.
T
h
e
o
b
j
ec
tiv
e
o
f
o
u
r
g
r
a
y
s
ca
le
e
n
cr
y
p
tio
n
m
et
h
o
d
o
lo
g
y
i
s
to
r
esi
s
t
ag
ain
s
t
s
tatis
t
ical
attac
k
.
T
ab
le
6
s
h
o
w
s
th
e
e
x
p
er
i
m
e
n
t
o
u
t
co
m
e
at
tain
ed
b
y
t
h
e
p
r
o
p
o
s
ed
en
cr
y
p
tio
n
m
o
d
el.
E
x
p
er
i
m
e
n
ts
ar
e
co
n
d
u
c
ted
f
o
r
th
e
i
m
a
g
e
ca
s
e
s
t
u
d
y
s
h
o
w
n
i
n
Fi
g
u
r
e
2
.
Fro
m
t
h
e
a
n
al
y
s
i
s
,
it
ca
n
b
e
s
ee
n
th
e
p
r
o
p
o
s
ed
im
a
g
e
en
cr
y
p
tio
n
m
o
d
el
ca
n
r
es
is
t
a
g
ai
n
s
t
g
r
ey
s
ca
le
s
tatis
tical
an
a
l
y
s
is
(
S
A
)
in
a
m
a
n
n
er
w
h
er
e
th
e
i
n
tr
u
d
er
ca
n
’
t
d
ec
o
d
e
th
e
in
p
u
t
i
m
ag
e
o
r
g
r
a
y
p
ar
a
m
eter
d
is
tr
ib
u
tio
n
p
r
o
p
er
ties
.
Sin
ce
th
e
p
r
o
p
o
s
ed
en
cr
y
p
tio
n
m
o
d
el
m
a
k
es
t
h
e
g
r
ay
s
ca
le
d
is
tr
ib
u
tio
n
o
f
t
h
e
e
n
co
d
ed
in
p
u
t
p
ictu
r
e
ele
m
e
n
t
v
er
y
f
lat.
Mo
r
eo
v
er
,
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
E
n
g
,
Vo
l.
10
,
No
.
6
,
Dec
em
b
er
2
0
2
0
:
6
0
0
8
-
6
0
1
8
6014
to
m
ea
s
u
r
e
t
h
e
p
ix
el
d
is
tr
ib
u
t
io
n
u
n
i
f
o
r
m
i
t
y
o
f
th
e
cip
h
er
i
m
ag
e
v
ar
ian
ce
o
f
t
h
e
h
is
to
g
r
a
m
is
u
s
ed
.
Mo
r
e
u
n
if
o
r
m
it
y
t
h
e
p
ix
el
d
is
tr
ib
u
tio
n
p
r
o
p
er
ty
is
w
h
e
n
v
ar
ian
ce
o
r
clo
s
er
.
Dif
f
er
en
t
k
e
y
s
ize
is
u
tili
ze
d
f
o
r
p
er
f
o
r
m
in
g
en
cr
y
p
tio
n
o
n
t
h
e
s
a
m
e
i
m
a
g
e,
th
e
v
ar
ian
ce
o
f
th
e
s
e
cip
h
er
i
m
a
g
e
s
is
co
m
p
u
ted
u
s
i
n
g
(
4
)
.
I
f
th
e
r
esp
ec
ti
v
e
cip
h
er
te
x
t
i
s
clo
s
e,
th
en
th
e
cip
h
er
i
m
a
g
e
h
as
h
i
g
h
er
h
is
to
g
r
a
m
u
n
if
o
r
m
it
y
.
T
h
e
h
i
s
to
g
r
a
m
v
ar
ian
ce
i
s
co
m
p
u
ted
as
f
o
llo
w
s
:
(
)
=
1
2
∑
∑
(
−
)
2
2
−
1
=
0
1
=
0
(
4
)
w
h
er
e
is
t
h
e
h
i
s
to
g
r
a
m
p
ar
a
m
eter
v
ec
to
r
=
{
0
,
1
,
2
,
…
,
256
}
o
f
a
g
r
e
y
s
ca
le
i
m
a
g
e,
an
d
an
d
ar
e
th
e
to
tal
p
ix
el
s
ize
w
it
h
g
r
e
y
p
ar
a
m
eter
s
an
d
,
=
256
.
T
ab
le
6
.
His
to
g
r
a
m
p
er
f
o
r
m
a
n
ce
ev
alu
at
io
n
o
f
t
h
e
p
r
o
p
o
s
ed
m
o
d
el
I
n
p
u
t
i
m
a
g
e
H
i
st
o
g
r
a
m o
f
t
h
e
i
n
p
u
t
i
m
a
g
e
C
i
p
h
e
r
i
m
a
g
e
H
i
st
o
g
r
a
m o
f
c
i
p
h
e
r
i
mag
e
C
a
se
(
a
)
:
L
e
n
a
C
a
se
(
b
)
:
C
h
e
st
C
T
S
c
a
n
C
a
se
(
c
)
:
B
r
a
i
n
M
R
I
C
a
se
(
d
)
:
P
e
p
p
e
r
C
a
se
(
e
)
:
U
l
t
r
a
so
u
n
d
I
mag
e
C
a
se
(
f
)
:
A
e
r
i
a
l
I
mag
e
4
.
2
.
Co
rr
el
a
t
io
n c
o
e
f
f
icient
perf
o
r
m
a
nce
ev
a
lua
t
io
n
T
h
is
s
ec
tio
n
e
v
al
u
ated
t
h
e
p
er
f
o
r
m
a
n
ce
o
f
C
C
,
w
h
ic
h
is
ac
h
iev
ed
b
y
th
e
i
n
tr
o
d
u
ce
d
s
ec
u
r
it
y
m
o
d
e
l
o
v
er
th
e
e
x
i
s
ti
n
g
m
o
d
el.
T
h
e
ex
p
er
i
m
e
n
tal
i
s
p
er
f
o
r
m
ed
f
o
r
i
m
a
g
es
an
d
r
ep
r
esen
ted
in
Fi
g
u
r
e
2
.
T
h
e
C
C
b
et
w
ee
n
th
e
n
ei
g
h
b
o
r
in
g
p
ix
el
is
ca
lcu
lated
b
y
u
tili
zi
n
g
th
e
b
elo
w
;
=
(
,
)
√
(
)
(
)
(
5
)
w
h
er
e
(
,
)
is
ca
lcu
lated
as f
o
llo
w
s
(
,
)
=
1
∑
(
−
(
)
)
(
−
(
)
)
,
(
6
)
(
)
is
ca
lcu
lated
as
f
o
llo
w
s
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
A
n
efficien
t d
a
ta
ma
s
kin
g
fo
r
s
ec
u
r
in
g
med
ica
l d
a
ta
u
s
in
g
(
S
id
d
a
r
th
a
B
.
K
.
)
6015
(
)
=
1
∑
,
(
7
)
An
d
(
)
is
ca
lcu
lated
as f
o
llo
w
s
(
)
=
1
∑
(
−
(
)
)
2
(
8
)
T
h
e
C
C
b
e
t
w
e
e
n
e
n
c
r
y
p
t
e
d
m
ed
i
c
a
l
/
m
u
l
t
i
m
e
d
i
a
i
m
a
g
e
a
n
d
t
h
e
i
n
p
u
t
-
o
r
i
g
i
n
a
l
i
m
a
g
e
i
s
c
a
l
c
u
l
a
t
e
d
b
y
(
5
)
.
T
h
e
p
er
f
o
r
m
an
ce
ac
h
ie
v
ed
b
y
i
n
tr
o
d
u
ce
d
th
e
E
DM
-
s
ec
u
r
it
y
m
o
d
el
o
v
er
th
e
ex
i
s
ti
n
g
m
o
d
e
l
w
h
ic
h
is
r
ep
r
esen
ted
in
T
ab
les
7
an
d
8
.
Fro
m
t
h
e
e
x
p
er
i
m
e
n
tal
an
al
y
s
i
s
,
it
c
a
n
b
e
s
ee
n
th
a
t
t
h
e
in
tr
o
d
u
ce
d
E
D
M
tech
n
iq
u
e
ac
h
iev
e
s
m
u
c
h
b
etter
p
er
f
o
r
m
a
n
ce
th
a
n
t
h
e
ex
i
s
ti
n
g
m
o
d
el
f
o
r
th
e
i
m
a
g
e.
T
ab
le
7
.
C
o
r
r
elatio
n
co
ef
f
icie
n
t a
ttai
n
ed
b
y
p
r
o
p
o
s
ed
E
DM
o
v
er
th
e
ex
i
s
ti
n
g
m
o
d
el
f
o
r
L
e
n
a
i
m
a
g
e
s
A
l
g
o
r
i
t
h
m
H
o
r
i
z
o
n
t
a
l
V
e
r
t
i
c
a
l
D
i
a
g
o
n
a
l
Ex
i
st
i
n
g
mo
d
e
l
[
2
8
]
0
.
0
0
3
9
-
0
.
0
3
1
4
0
.
0
1
5
8
Ex
i
st
i
n
g
mo
d
e
l
[
2
9
]
0
.
0
0
6
8
-
0
.
0
0
5
4
0
.
0
0
1
Ex
i
st
i
n
g
mo
d
e
l
[
3
3
]
0
.
0
2
1
1
0
.
0
4
1
2
-
0
.
0
0
1
6
ED
M
mo
d
e
l
0
.
0
0
1
9
-
0
.
0
0
3
0
0
.
0
0
1
8
T
ab
le
8
.
C
o
r
r
elatio
n
co
ef
f
icie
n
t a
ttai
n
ed
b
y
E
DM
m
o
d
el
co
n
s
id
er
in
g
a
d
iv
er
s
e
s
et
o
f
i
m
a
g
es
I
mag
e
s
H
o
r
i
z
o
n
t
a
l
V
e
r
t
i
c
a
l
D
i
a
g
o
n
a
l
P
e
p
p
e
r
0
.
0
0
0
9
0
.
0
0
4
0
5
8
0
.
0
0
0
7
9
A
e
r
i
a
l
-
0
.
0
0
0
9
8
0
.
0
0
3
3
6
9
0
.
0
0
2
2
4
3
C
h
e
st
C
T
-
0
.
0
0
0
7
1
3
0
.
0
0
7
6
0
.
0
0
0
3
4
B
r
a
i
n
M
R
I
0
.
0
0
1
3
0
.
0
0
8
1
4
0
.
0
0
1
1
8
U
l
t
r
a
so
u
n
d
0
.
0
0
3
0
7
8
0
.
0
0
0
5
5
-
0
.
0
0
0
3
9
4
.
3
.
I
nfo
rm
a
t
io
n e
ntr
o
py
pe
rf
o
r
m
a
nce
ev
a
lua
t
io
n
I
E
m
e
t
r
i
c
i
s
a
m
e
a
s
u
r
em
e
n
t
t
o
c
o
m
p
u
t
e
t
h
e
d
e
g
r
e
e
o
f
i
n
s
e
c
u
r
i
t
y
w
h
i
c
h
i
s
c
o
m
p
u
t
e
d
u
s
i
n
g
t
h
e
f
o
l
l
o
w
i
n
g
(
)
=
−
∑
(
)
2
−
1
=
0
l
og
2
(
)
(
9
)
w
h
er
e
(
)
s
h
o
w
s
t
h
e
p
r
o
b
ab
ilit
y
th
at
d
ata
ap
p
ea
r
s
.
Fo
r
g
r
ay
s
ca
le
i
m
ag
e
s
,
d
ata
is
co
llect
ed
2
5
6
s
tates,
t
h
e
m
a
x
a
n
d
m
i
n
(
m
a
x
i
m
u
m
an
d
m
i
n
i
m
u
m
)
v
al
u
e
a
r
e
0
an
d
2
5
5
,
r
esp
ec
tiv
el
y
.
W
ith
t
h
e
h
elp
o
f
(
9
)
,
en
tr
o
p
y
is
r
a
n
d
o
m
,
w
h
en
e
v
er
th
e
s
ize
o
f
e
n
tr
o
p
y
is
8
th
at
r
ep
r
esen
ts
h
i
g
h
e
n
tr
o
p
y
o
f
t
h
e
cip
h
er
i
m
a
g
e
is
s
ec
u
r
e
an
d
t
h
e
m
o
d
el
o
f
en
cr
y
p
tio
n
is
u
tili
ze
d
.
T
h
e
en
tr
o
p
y
p
er
f
o
r
m
a
n
ce
o
f
cr
y
p
to
g
r
ap
h
ic
i
m
a
g
es
o
b
tain
ed
b
y
p
er
f
o
r
m
in
g
en
cr
y
p
t
io
n
o
n
L
e
n
a
an
d
P
ep
p
er
im
a
g
e
u
s
in
g
t
h
e
p
r
o
p
o
s
ed
an
d
v
ar
io
u
s
s
tat
e
-
of
-
ar
t
en
cr
y
p
tio
n
m
et
h
o
d
s
is
p
r
esen
ted
i
n
T
ab
le
8
.
Fro
m
a
r
es
u
lt,
it
is
i
n
f
e
r
r
ed
th
at
th
e
p
r
o
p
o
s
ed
E
D
M
m
et
h
o
d
ac
h
iev
e
s
s
u
p
er
io
r
p
er
f
o
r
m
a
n
ce
t
h
a
n
th
e
ex
is
t
in
g
i
m
ag
e
e
n
cr
y
p
tio
n
m
et
h
o
d
[
2
8
,
2
9
]
.
T
h
u
s
,
s
h
o
w
s
th
e
in
f
o
r
m
atio
n
leak
ag
e
(
I
L
)
o
f
c
ip
h
er
i
m
ag
e
ar
e
s
ig
n
i
f
ica
n
tl
y
les
s
.
T
h
u
s
,
it
p
r
o
v
es
t
h
e
s
ec
u
r
it
y
o
f
t
h
e
p
r
o
p
o
s
ed
im
a
g
e
en
cr
y
p
ti
o
n
m
o
d
el.
B
elo
w
g
i
v
e
n
T
ab
le
9
s
h
o
w
s
t
h
e
p
er
f
o
r
m
a
n
ce
ev
al
u
atio
n
o
f
i
n
f
o
r
m
atio
n
en
tr
o
p
y
.
T
ab
le
9
.
I
n
f
o
r
m
at
io
n
en
tr
o
p
y
p
er
f
o
r
m
a
n
ce
e
v
alu
a
tio
n
A
l
g
o
r
i
t
h
m
L
e
n
a
P
e
p
p
e
r
A
e
r
i
a
l
C
h
e
st
C
T
B
r
a
i
n
M
R
I
U
l
t
r
a
so
u
n
d
Ex
i
st
i
n
g
mo
d
e
l
[
1
8
]
7
.
9
7
8
-
-
-
-
-
Ex
i
st
i
n
g
mo
d
e
l
[
1
9
]
7
.
9
9
6
7
7
.
9
9
6
7
-
-
-
-
ED
M
mo
d
e
l
7
.
9
9
6
4
7
.
9
9
9
2
7
.
9
9
8
7
.
9
5
5
7
.
9
4
2
2
7
.
9
8
9
5
4
.
4
.
Dif
f
er
ent
ia
l a
t
t
a
ck
perf
o
r
m
a
nce
ev
a
lua
t
io
n
T
h
is
s
ec
tio
n
r
ep
r
esen
t
s
d
if
f
er
en
tial
attac
k
-
p
er
f
o
r
m
a
n
ce
o
b
tain
ed
b
y
in
tr
o
d
u
ce
d
th
e
E
DM
tech
n
iq
u
e
o
v
er
th
e
i
m
ag
e
e
n
cr
y
p
tio
n
te
ch
n
iq
u
e,
A
D
A
i
s
to
p
er
f
o
r
m
a
tr
iv
ial
m
o
d
i
f
icatio
n
to
t
h
e
in
p
u
t
m
u
l
ti
m
ed
ia
p
i
c
t
u
r
e
e
l
e
m
e
n
t
s
.
P
o
s
t
t
h
a
t
,
p
e
r
f
o
r
m
e
n
c
r
y
p
t
i
o
n
o
n
i
n
p
u
t
m
u
l
t
i
m
e
d
i
a
p
i
c
t
u
r
e
e
l
e
m
e
n
t
s
a
n
d
a
l
t
e
r
t
h
e
m
u
l
t
i
m
e
d
i
a
p
ictu
r
e
ele
m
e
n
t
s
.
T
h
e
co
r
r
elatio
n
a
m
o
n
g
t
h
e
i
n
p
u
t
m
u
lti
m
ed
i
a
p
ictu
r
e
ele
m
e
n
t
s
an
d
t
h
e
en
c
r
y
p
ted
m
u
lti
m
ed
ia
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
E
n
g
,
Vo
l.
10
,
No
.
6
,
Dec
em
b
er
2
0
2
0
:
6
0
0
8
-
6
0
1
8
6016
p
ictu
r
e
ele
m
e
n
ts
is
attai
n
ed
b
y
co
r
r
elatin
g
th
e
t
w
o
en
cr
y
p
ted
m
u
lti
m
ed
ia
p
ictu
r
e
elem
en
ts
.
T
h
e
NP
C
R
an
d
U
A
C
I
ar
e
u
ti
lized
to
m
ea
s
u
r
e
w
h
e
th
er
t
h
e
en
cr
y
p
tio
n
tech
n
iq
u
e
r
esis
ted
d
if
f
e
r
en
tial
attac
k
[
3
5
]
.
T
h
e
UA
C
I
i
s
ca
lcu
lated
as
f
o
ll
o
w
s
:
=
1
∗
[
∑
|
(
,
)
−
′
(
,
)
|
255
,
]
∗
100
(
1
0
)
Si
m
i
lar
l
y
,
t
h
e
NP
C
R
i
s
co
m
p
u
ted
as f
o
llo
w
s
=
∑
(
,
)
,
∗
∗
100
(
1
1
)
w
h
er
e,
an
d
r
ep
r
esen
ts
t
h
e
le
n
g
t
h
a
n
d
w
id
th
o
f
t
h
e
g
r
a
y
-
s
c
ale
i
m
a
g
e,
r
esp
ec
ti
v
el
y
,
′
an
d
r
ep
r
esen
t
s
cip
h
er
p
ictu
r
e
ele
m
e
n
ts
w
i
th
r
eg
ar
d
s
to
t
w
o
-
p
ict
u
r
e
ele
m
e
n
ts
w
it
h
th
e
v
ar
iatio
n
o
f
s
i
n
g
le
-
p
i
x
el.
Fo
r
p
ix
el
(
,
)
,
if
(
,
)
=
′
(
,
)
,
th
en
(
,
)
=
1
,
o
th
er
w
is
e
(
,
)
=
0
.
T
h
e
p
er
f
o
r
m
an
ce
o
f
NP
C
R
an
d
UACI
is
ca
lcu
lated
b
y
u
s
i
n
g
(
1
0
)
an
d
(
1
1
)
r
esp
ec
tiv
el
y
,
an
d
p
er
f
o
r
m
an
ce
ac
h
ie
v
ed
b
y
i
n
tr
o
d
u
ce
d
th
e
E
DM
m
o
d
el
o
v
er
t
h
e
e
x
is
t
in
g
m
et
h
o
d
,
w
h
ic
h
is
r
ep
r
esen
ted
in
T
ab
les
1
0
an
d
1
1
.
Fr
o
m
t
h
e
e
x
p
er
im
e
n
t
a
n
al
y
s
is
,
it
ca
n
b
e
i
n
f
er
r
ed
t
h
at
t
h
e
in
tr
o
d
u
ce
d
E
DM
tec
h
n
iq
u
e
ca
n
r
e
s
is
t
t
h
e
p
lai
n
-
te
x
t
a
n
d
t
h
e
d
i
f
f
er
en
tial
attac
k
w
h
en
co
m
p
ar
ed
to
th
e
ex
i
s
ti
n
g
m
o
d
el.
Fro
m
ac
h
ie
v
ed
o
u
tco
m
e
it
ca
n
b
e
s
ee
n
i
n
tr
o
d
u
ce
d
m
o
d
el
ac
h
iev
e
s
th
e
s
a
m
e
p
er
f
o
r
m
a
n
ce
o
f
U
AC
I
w
h
en
c
o
m
p
ar
ed
to
th
e
ex
is
t
in
g
m
o
d
el
.
A
n
y
w
a
y
s
,
in
ter
m
s
o
f
t
h
e
NP
C
R
,
th
e
i
n
tr
o
d
u
ce
d
E
DM
m
o
d
el
ac
h
ie
v
es s
u
p
er
io
r
p
er
f
o
r
m
a
n
ce
t
h
an
t
h
e
ex
is
ti
n
g
m
o
d
el.
T
ab
le
10
.
UA
C
I
p
er
f
o
r
m
an
ce
ev
alu
a
tio
n
co
n
s
id
er
in
g
d
iv
er
s
e
i
m
ag
e
s
A
l
g
o
r
i
t
h
m
L
e
n
a
P
e
p
p
e
r
A
e
r
i
a
l
C
h
e
st
C
T
B
r
a
i
n
M
R
I
U
l
t
r
a
so
u
n
d
Ex
i
st
i
n
g
mo
d
e
l
[
1
8
]
2
8
.
7
3
4
4
-
-
-
-
-
Ex
i
st
i
n
g
mo
d
e
l
[
1
9
]
3
3
.
4
6
-
-
-
-
-
P
r
o
p
o
se
d
mo
d
e
l
4
9
.
7
5
7
1
2
4
.
9
2
6
.
1
5
4
9
.
5
9
4
9
.
7
7
4
9
.
9
1
T
ab
le
1
1
.
N
P
C
R
p
er
f
o
r
m
an
ce
ev
alu
a
tio
n
co
n
s
id
er
in
g
d
iv
er
s
e
i
m
ag
e
s
A
l
g
o
r
i
t
h
m
L
e
n
a
P
e
p
p
e
r
A
e
r
i
a
l
C
h
e
st
C
T
B
r
a
i
n
M
R
I
U
l
t
r
a
so
u
n
d
Ex
i
st
i
n
g
mo
d
e
l
[
2
8
]
9
9
.
6
1
8
5
-
-
-
-
-
Ex
i
st
i
n
g
mo
d
e
l
[
2
9
]
9
9
.
6
1
-
-
-
-
-
P
r
o
p
o
se
d
mo
d
e
l
9
9
.
2
3
9
9
.
2
2
9
9
.
2
3
9
9
.
2
2
9
9
.
2
2
9
9
.
2
2
4
.
5
.
Resul
t
a
nd
dis
cus
s
io
n
Fro
m
o
v
er
all
ac
h
iev
ed
o
u
tc
o
m
e
r
ep
r
ese
n
ts
t
h
at
t
h
e
in
tr
o
d
u
ce
d
m
o
d
el
ac
h
ie
v
e
s
g
o
o
d
s
u
p
er
io
r
p
e
r
f
o
r
m
a
n
c
e
c
o
n
s
i
d
e
r
i
n
g
C
C
,
U
A
C
I
,
h
i
s
t
o
g
r
a
m
,
N
PC
R
,
a
n
d
I
E
.
T
h
e
E
D
M
m
o
d
e
l
m
a
k
e
s
a
g
r
a
y
s
c
a
l
e
d
i
s
t
r
i
b
u
t
i
o
n
o
f
th
e
en
co
d
ed
in
p
u
t
m
u
l
ti
m
ed
ia
p
ictu
r
e
ele
m
e
n
t
s
is
s
i
g
n
i
f
ican
tl
y
f
lat
w
h
en
co
m
p
ar
ed
w
it
h
t
h
e
e
x
is
ti
n
g
m
o
d
el
[
1
7
,
2
8
,
2
9
,
3
1
]
.
T
h
u
s
,
it
ca
n
r
esi
s
t
a
g
ain
s
t
S
A
.
T
h
e
m
o
d
el
o
f
E
DM
attai
n
s
s
u
p
er
io
r
-
p
er
f
o
r
m
an
ce
f
o
r
C
C
w
h
e
n
co
m
p
ar
ed
w
it
h
t
h
e
ex
is
t
in
g
i
m
a
g
e
e
n
cr
y
p
t
io
n
m
o
d
el
[
1
7
,
2
8
,
2
9
,
3
1
]
.
T
h
is
i
s
b
ec
au
s
e
E
B
S
is
u
s
ed
in
e
ac
h
s
tep
o
f
C
S.
T
h
u
s
,
th
e
co
r
r
elatio
n
a
m
o
n
g
ad
j
ac
en
t
p
ix
el
s
is
le
s
s
a
n
d
aid
in
g
s
u
p
er
io
r
s
ec
u
r
it
y
p
er
f
o
r
m
a
n
ce
.
Fu
r
t
h
er
,
t
h
e
E
D
M
m
o
d
el
atta
in
s
s
i
m
ilar
U
AC
I
p
er
f
o
r
m
a
n
ce
a
n
d
s
u
p
er
io
r
NP
C
R
p
er
f
o
r
m
a
n
c
e
w
h
e
n
co
m
p
ar
ed
w
it
h
th
e
ex
is
t
in
g
i
m
a
g
e
e
n
cr
y
p
tio
n
m
o
d
el
[
1
7
,
2
8
,
2
9
,
31]
.
T
h
u
s
,
t
h
e
E
D
M
m
o
d
el
ca
n
a
g
ai
n
s
t
DA
,
cr
o
p
p
in
g
,
n
o
is
e,
an
d
p
lai
n
.
T
h
e
o
v
er
all
ac
h
iev
ed
o
u
tco
m
e
s
h
o
w
s
t
h
e
r
o
b
u
s
t
n
ess
o
f
th
e
E
DM
m
o
d
el.
5.
CO
NCLU
SI
O
N
T
h
is
p
ap
er
is
r
ep
r
esen
ted
a
n
ef
f
icie
n
t
-
i
m
ag
e
m
eth
o
d
u
s
i
n
g
DN
A
an
d
CS
s
.
T
h
e
e
f
f
i
cien
t
-
B
S
M
u
tili
zi
n
g
ar
b
itra
r
y
o
f
L
C
MC
S
an
d
r
a
n
d
o
m
-
s
eq
u
e
n
ce
.
F
u
r
th
er
m
o
r
e
,
th
e
DN
A
s
u
b
s
tit
u
tio
n
is
u
t
ilized
to
m
ax
i
m
ize
th
e
e
f
f
icie
n
c
y
a
n
d
cip
h
er
-
u
n
p
r
ed
ictab
ilit
y
o
f
d
a
ta
m
as
k
i
n
g
-
m
et
h
o
d
.
T
h
e
ex
p
er
i
m
en
t
is
d
o
n
e
b
y
u
s
i
n
g
th
e
d
ata
s
ets
o
f
d
iv
er
s
e
m
ed
ical
t
h
at
r
an
g
i
n
g
f
r
o
m
M
R
I
to
C
T
.
Fu
r
th
er
,
th
e
u
s
ed
s
t
an
d
ar
d
L
en
a,
P
ep
p
er
,
an
d
ae
r
ial
i
m
a
g
e
to
p
er
f
o
r
m
t
h
e
a
n
al
y
s
i
s
o
f
co
m
p
ar
ati
v
e.
T
h
e
o
u
tco
m
e
r
ep
r
esen
ts
i
n
tr
o
d
u
ce
d
t
h
e
m
o
d
el
o
f
E
DM
s
ec
u
r
it
y
to
attai
n
th
e
s
u
p
er
io
r
p
er
f
o
r
m
an
ce
o
f
C
C
a
n
d
UAC
L
w
h
e
n
co
m
p
ar
ed
to
t
h
e
e
x
is
t
in
g
m
o
d
el.
T
h
u
s
,
t
h
e
p
r
o
p
o
s
ed
m
eth
o
d
o
f
E
DM
s
ec
u
r
it
y
ca
n
r
esis
t
t
h
e
DA
,
li
n
ea
r
attac
k
(
L
A
)
,
r
esis
t
n
o
is
e,
an
d
C
A
m
o
r
e
ef
f
icien
tl
y
b
ec
au
s
e
o
f
t
h
e
lar
g
e
-
k
e
y
-
s
p
ac
e.
I
n
f
u
t
u
r
e,
w
e
w
il
l
e
n
h
a
n
ci
n
g
t
h
e
g
e
n
er
atio
n
o
f
C
S
to
f
u
r
t
h
er
i
m
p
r
o
v
e
s
ec
u
r
it
y
.
A
lo
n
g
w
it
h
w
e
w
ill
co
n
d
u
ct
th
e
e
x
p
er
i
m
e
n
t
an
al
y
s
i
s
co
n
s
id
er
i
n
g
b
y
t
h
e
v
ar
ied
im
a
g
es
a
n
d
o
th
er
m
etr
ics o
f
s
ec
u
r
it
y
p
er
f
o
r
m
an
ce
.
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
A
n
efficien
t d
a
ta
ma
s
kin
g
fo
r
s
ec
u
r
in
g
med
ica
l d
a
ta
u
s
in
g
(
S
id
d
a
r
th
a
B
.
K
.
)
6017
RE
F
E
R
E
NC
E
S
[1
]
Z.
H.
Hu
,
Y.
W
e
n
,
T
.
-
S
.
Ch
u
a
,
a
n
d
X
.
L
i,
“
T
o
w
a
rd
sc
a
l
a
b
le
s
y
ste
m
s
f
o
r
b
ig
d
a
ta
a
n
a
ly
ti
c
s:
A
tec
h
n
o
l
o
g
y
tu
to
rial,
”
IEE
E
Acc
e
ss
,
v
o
l.
2
,
p
p
.
6
5
2
-
6
8
7
,
2
0
14.
[2
]
Y.
L
u
o
,
D.
T
a
o
,
K.
Ra
m
a
m
o
h
a
n
a
ra
o
,
C.
X
u
,
a
n
d
Y.W
e
n
,
“
T
e
n
so
r
c
a
n
o
n
ica
l
c
o
rre
latio
n
a
n
a
ly
sis
f
o
r
m
u
lt
i
-
v
ie
w
d
im
e
n
sio
n
re
d
u
c
ti
o
n
,
”
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
Kn
o
wled
g
e
a
n
d
Da
ta
En
g
i
n
e
e
rin
g
,
v
o
l.
2
7
,
p
p
.
3
1
1
1
-
3
1
2
4
,
2
0
1
5
.
[3
]
Y.
L
u
o
,
Y.
W
e
n
,
D.
T
a
o
,
“
He
tero
g
e
n
e
o
u
s
m
u
lt
it
a
sk
m
e
tri
c
le
a
rn
in
g
a
c
ro
ss
m
u
lt
ip
le
d
o
m
a
in
s,”
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
Ne
u
r
a
l
Ne
two
rk
s
a
n
d
L
e
a
r
n
in
g
S
y
ste
ms
,
v
o
l.
2
9
,
n
o
.
9
,
p
p
.
4
0
5
1
-
4
0
6
4
,
2
0
1
7
.
[4
]
M
.
L
i
m
,
a
n
d
P
.
Yu
e
n
,
“
En
tr
o
p
y
m
e
a
su
re
m
e
n
t
f
o
r
b
io
m
e
tri
c
v
e
ri
f
ica
ti
o
n
s
y
ste
m
s,
”
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
Cy
b
e
rn
e
ti
c
s
,
v
o
l.
4
6
,
p
p
.
1
0
6
5
-
1
0
7
7
,
2
0
1
6
.
[5
]
H.
N
y
e
e
m
,
W
.
Bo
les
,
a
n
d
C.
Bo
y
d
,
“
Dig
it
a
l
i
m
a
g
e
wa
ter
m
a
r
k
in
g
:
Its
f
o
r
m
a
l
m
o
d
e
l,
f
u
n
d
a
m
e
n
tal
p
ro
p
e
rti
e
s
a
n
d
p
o
ss
ib
le attac
k
s,'
'
EURA
S
IP
J
.
A
d
v
.
S
ig
n
a
l
Pro
c
e
ss
.
,
v
o
l.
2
0
1
4
,
n
o
.
1
,
p
p
.
1
-
2
1
,
2
0
1
4
.
[6
]
N.
Zi
v
ic,
“
W
a
ter
m
a
r
k
in
g
f
o
r
I
m
a
g
e
A
u
th
e
n
ti
c
a
ti
o
n
,
”
Ro
b
u
st
Ima
g
e
Au
th
e
n
ti
c
a
t
io
n
Pre
se
n
c
e
No
ise
,
1
st
e
d
.
Ch
a
m,
S
wit
ze
rl
a
n
d
:
S
p
ri
n
g
e
r,
p
p
.
4
3
-
4
7
,
2
0
1
5
.
[7
]
N.
A
.
L
o
a
n
,
N.
N.
Hu
rra
h
,
S
.
A
.
P
a
ra
h
,
J.
W
.
L
e
e
,
J.
A
.
S
h
e
ik
h
a
n
d
G
.
M
.
Bh
a
t,
"
S
e
c
u
re
a
n
d
Ro
b
u
s
t
Dig
it
a
l
I
m
a
g
e
W
a
t
e
r
m
a
r
k
i
n
g
U
s
i
n
g
C
o
e
f
f
i
c
i
e
n
t
D
i
f
f
e
r
e
n
c
i
n
g
a
n
d
C
h
a
o
t
i
c
E
n
c
r
y
p
t
i
o
n
,
"
I
E
E
E
A
c
c
e
s
s
,
v
o
l
.
6
,
p
p
.
1
9
8
7
6
-
1
9
8
9
7
,
2
0
1
8
.
[8
]
S
.
A
.
P
a
ra
h
,
F
.
A
h
a
d
,
J.
A
.
S
h
e
ik
h
,
a
n
d
G
.
M
.
Bh
a
t,
“
Hid
in
g
c
li
n
ica
l
in
f
o
r
m
a
ti
o
n
in
m
e
d
ica
l
i
m
a
g
e
s:
A
n
e
w
h
ig
h
c
a
p
a
c
it
y
a
n
d
re
v
e
rsib
le d
a
ta h
id
in
g
tec
h
n
iq
u
e
,
'
'
J
.
Bi
o
me
d
.
I
n
f.
,
v
o
l.
6
6
,
p
p
.
2
1
4
-
2
3
0
,
2
0
1
7
.
[9
]
Re
d
d
y
,
R.
O.,
Dh
ru
v
e
,
K.
D.,
Re
d
d
y
,
R.
N.,
Ra
d
h
a
,
M
.
,
a
n
d
V
a
n
i
,
N.
S
.
,
“
A
No
v
e
l
A
p
p
ro
a
c
h
in
A
d
o
p
ti
n
g
F
in
it
e
S
tate
A
u
to
m
a
ta
f
o
r
I
m
a
g
e
P
ro
c
e
ss
in
g
A
p
p
li
c
a
ti
o
n
s,”
I
n
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Co
m
p
u
ter
V
isi
o
n
a
n
d
Ima
g
e
Pro
c
e
ss
in
g
,
v
o
l
.
8
,
n
o
.
1
,
p
p
.
5
9
-
74
,
2
0
1
8
.
[1
0
]
S
.
A
.
P
a
ra
h
,
J.
A
.
S
h
e
ik
h
,
J.
A
.
Ak
h
o
o
n
,
N.
A
.
L
o
a
n
,
a
n
d
G
.
M
.
Bh
a
t,
“
In
f
o
rm
a
ti
o
n
h
i
d
i
n
g
in
e
d
g
e
s: A
h
ig
h
c
a
p
a
c
it
y
i
n
f
o
r
m
a
t
i
o
n
h
i
d
i
n
g
t
e
c
h
n
i
q
u
e
u
s
i
n
g
h
y
b
r
i
d
e
d
g
e
d
e
t
e
c
t
i
o
n
,
”
M
u
l
t
i
m
e
d
T
o
o
l
s
A
p
p
l
.
,
v
o
l
.
7
7
,
n
o
.
1
,
p
p
.
1
8
5
-
2
0
7
,
2
0
1
8
.
[
1
1
]
S
.
A
.
P
a
ra
h
,
F
.
A
h
a
d
,
J.
A
.
S
h
e
ik
h
,
N.
A
.
L
o
a
n
,
a
n
d
G
.
M
.
Bh
a
t,
“
In
f
o
rm
a
ti
o
n
h
id
in
g
in
m
e
d
ica
l
i
m
a
g
e
s:
A
ro
b
u
st
m
e
d
i
c
a
l
i
m
a
g
e
w
a
t
e
r
m
a
r
k
i
n
g
s
y
s
t
e
m
f
o
r
E
-
h
e
a
l
t
h
c
a
r
e
,
'
'
M
u
l
t
i
m
e
d
T
o
o
l
s
A
p
p
l
.
,
v
o
l
.
7
6
,
n
o
.
8
,
p
p
.
1
0
5
9
9
-
1
0
6
3
3
.
2017.
[1
2
]
K.
M
u
h
a
m
m
a
d
,
J.
A
h
m
a
d
,
S
.
R
h
o
,
a
n
d
S
.
W
.
Ba
ik
,
“
Im
a
g
e
ste
g
a
n
o
g
ra
p
h
y
f
o
r
a
u
th
e
n
ti
c
it
y
o
f
v
is
u
a
l
c
o
n
ten
ts
i
n
so
c
ial
n
e
tw
o
rk
s,'
'
M
u
lt
ime
d
ia
T
o
o
l
s A
p
p
l.
,
v
o
l
.
7
6
,
n
o
.
1
8
,
p
p
.
1
8
9
8
5
-
1
9
0
0
4
,
2
0
1
7
.
[1
3
]
L
.
Y.
Zh
a
n
g
e
t
a
l.
,
“
On
th
e
se
c
u
rit
y
o
f
a
c
las
s
o
f
d
iff
u
sio
n
m
e
c
h
a
n
ism
s
f
o
r
i
m
a
g
e
e
n
c
r
y
p
ti
o
n
,
”
IEE
E
T
ra
n
s
.
Cy
b
e
rn
.
,
v
o
l.
4
8
,
n
o
.
4
,
p
p
.
1
-
1
3
,
2
0
1
7
.
[1
4
]
A
.
Ka
n
so
a
n
d
M
.
G
h
e
b
leh
,
“
A
n
e
ff
icie
n
t
a
n
d
ro
b
u
st
im
a
g
e
e
n
c
r
y
p
ti
o
n
sc
h
e
m
e
f
o
r
m
e
d
ica
l
a
p
p
li
c
a
ti
o
n
s,”
C
o
mm
u
n
.
No
n
li
n
e
a
r
S
c
i.
Nu
me
r.
S
imu
l
.
,
v
o
l
.
2
4
,
n
o
.
1
-
3
,
p
p
.
9
8
-
1
1
6
,
2
0
1
5
.
[1
5
]
K.
M
u
h
a
m
m
a
d
,
M
.
S
a
jj
a
d
,
I.
M
e
h
m
o
o
d
,
S
.
R
h
o
,
a
n
d
S
.
W
.
Ba
ik
,
“
A
n
o
v
e
l
m
a
g
ic
L
S
B
su
b
stit
u
ti
o
n
m
e
th
o
d
(M
-
L
S
B
-
S
M
)
u
sin
g
m
u
lt
i
-
lev
e
l
e
n
c
r
y
p
ti
o
n
a
n
d
a
c
h
ro
m
a
ti
c
c
o
m
p
o
n
e
n
t
o
f
a
n
i
m
a
g
e
,
'
'
M
u
lt
ime
d
ia
T
o
o
ls
Ap
p
l.
,
v
o
l.
7
5
,
n
o
.
2
2
,
p
p
.
1
4
8
6
7
-
1
4
8
9
3
,
2
0
1
6
.
[1
6
]
A
.
S
a
m
b
a
s,
M
.
M
a
m
a
t
,
A
.
A
.
A
r
a
fa
,
G
.
M
.
M
a
h
m
o
u
d
,
M
.
A
.
M
o
h
a
m
e
d
,
a
n
d
W
.
S
.
M
a
d
a
S
a
n
ja
y
a
,
“
A
n
e
w
c
h
a
o
ti
c
s
y
ste
m
with
li
n
e
o
f
e
q
u
il
i
b
ria:d
y
n
a
m
ic
s,p
a
ss
iv
e
c
o
n
tro
l
a
n
d
c
ircu
it
d
e
sig
n
,
”
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
El
e
c
trica
l
a
n
d
Co
mp
u
ter
E
n
g
in
e
e
rin
g
(
IJ
ECE
)
,
v
o
l.
9
,
n
o.
4
,
p
p
.
2
3
6
5
-
2
3
7
6
,
2
0
1
9
.
[1
7
]
D.
Ra
v
ich
a
n
d
ra
n
,
P
.
P
ra
v
e
e
n
k
u
m
a
r,
J.
B.
B.
R
a
y
a
p
p
a
n
,
a
n
d
R.
Am
irt
h
a
ra
jan
,
“
DN
A
c
h
a
o
s
b
len
d
to
se
c
u
re
m
e
d
ica
l
p
riv
a
c
y
,
”
IEE
E
T
ra
n
s.
Na
n
o
b
io
sc
i.
,
v
o
l.
1
6
,
n
o
.
8
,
p
p
.
8
50
-
8
5
8
,
2
0
1
7
.
[1
8
]
S
h
a
rm
a
,
S
.
,
Ku
m
a
r,
T
.
,
Dh
a
u
n
d
iy
a
l,
R.
,
M
is
h
ra
,
A
.
K.,
Du
k
lan
,
N.
,
a
n
d
M
a
it
h
a
n
i
,
A
.
,
“
Im
p
ro
v
e
d
m
e
th
o
d
f
o
r
im
a
g
e
se
c
u
rit
y
b
a
s
e
d
o
n
c
h
a
o
ti
c
-
s
h
u
f
fle
a
n
d
c
h
a
o
ti
c
-
d
if
f
u
sio
n
a
lg
o
rit
h
m
s,”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
El
e
c
trica
l
a
n
d
Co
mp
u
ter
E
n
g
in
e
e
rin
g
(
IJ
ECE
),
v
o
l.
9
,
n
o
.
1
,
p
p
.
2
7
3
-
2
8
0
,
2
0
1
9
.
[1
9
]
J.
Ch
a
n
d
ra
se
k
a
ra
n
a
n
d
S
.
J.
T
h
iru
v
e
n
g
a
d
a
m
,
“
A
h
y
b
rid
c
h
a
o
ti
c
a
n
d
n
u
m
b
e
r
th
e
o
re
ti
c
a
p
p
r
o
a
c
h
f
o
r
se
c
u
rin
g
DICO
M
im
a
g
e
s,”
S
e
c
u
r.
Co
mm
u
n
.
Ne
tw.
,
v
o
l.
2
0
1
7
,
n
o
.
3
,
1
-
1
2
,
2
0
1
7
.
[2
0
]
S
.
El
A
ss
a
d
a
n
d
M
.
F
a
ra
jallah
,
“
A
n
e
w
c
h
a
o
s
-
b
a
se
d
im
a
g
e
e
n
c
r
y
p
ti
o
n
sy
ste
m
,
”
S
ig
n
a
l
Pr
o
c
e
ss
.
,
I
ma
g
e
Co
mm
u
n
.
,
v
o
l.
4
1
,
p
p
.
1
4
4
-
1
5
7
,
2
0
1
6
.
[2
1
]
Y.
Zh
o
u
,
L
.
Ba
o
,
a
n
d
C.
L
.
P
.
C
h
e
n
,
“
A
n
e
w
1
D
c
h
a
o
ti
c
sy
ste
m
f
o
r
ima
g
e
e
n
c
r
y
p
ti
o
n
,
”
S
ig
n
a
l
P
r
o
c
e
ss
.
,
v
o
l.
9
7
,
p
p
.
1
7
2
–
1
8
2
,
2
0
1
4
.
[2
2
]
X
.
L
i,
L
.
W
a
n
g
,
Y.
Ya
n
,
a
n
d
P
.
L
iu
,
“
A
n
im
p
ro
v
e
m
e
n
t
c
o
lo
r
im
a
g
e
e
n
c
r
y
p
ti
o
n
a
lg
o
rit
h
m
b
a
se
d
o
n
D
NA
o
p
e
ra
ti
o
n
s
a
n
d
re
a
l
a
n
d
c
o
m
p
lex
c
h
a
o
ti
c
sy
st
e
m
s,”
Op
t.
-
In
t.
J
.
L
ig
h
t
El
e
c
tro
n
Op
t.
,
v
o
l
.
1
2
7
,
n
o
.
5
,
p
p
.
2
5
5
8
–
2
5
6
5
,
2
0
1
6
.
[2
3
]
Y.
Zh
a
n
g
,
W
.
W
e
n
,
M
.
S
u
,
a
n
d
M
.
L
i,
“
Cr
y
p
tan
a
l
y
z
in
g
a
n
o
v
e
l
i
m
a
g
e
f
u
sio
n
e
n
c
ry
p
ti
o
n
a
lg
o
rit
h
m
b
a
se
d
o
n
DN
A
s
e
q
u
e
n
c
e
o
p
e
r
a
t
i
o
n
a
n
d
h
y
p
e
r
-
c
h
a
o
t
i
c
s
y
s
t
e
m
,
”
O
p
t
.
-
I
n
t
.
J
.
L
i
g
h
t
E
l
e
c
t
r
o
n
O
p
t
.
,
v
o
l
.
1
2
5
,
n
o
.
4
,
p
p
.
1
5
6
2
-
1
5
6
4
,
2014.
[2
4
]
L
.
B.
Z
h
a
n
g
,
Z.
L
.
Z
h
u
,
B.
Q
.
Ya
n
g
,
W
.
Y.
L
iu
,
H.
F
.
Zh
u
,
a
n
d
M
.
Y.
Z
o
u
,
“
Cry
p
tan
a
l
y
sis
a
n
d
im
p
ro
v
e
m
e
n
t
o
f
a
n
e
ff
ici
e
n
t
a
n
d
se
c
u
re
m
e
d
ica
l
ima
g
e
p
ro
tec
ti
o
n
sc
h
e
m
e
,
”
M
a
th
.
Pro
b
lem
s E
n
g
.
,
v
o
l.
2
0
1
5
,
n
o
.
2
,
p
p
.
1
-
1
1
,
2
0
1
5
.
[2
5
]
A
.
M
e
rz
o
u
g
,
A
.
A
li
-
P
a
c
h
a
,
a
n
d
N.
Ha
d
j
-
S
a
id
,
“
Ne
w
A
p
p
ro
a
c
h
o
f
th
e
P
lay
f
a
ir'
s
Cip
h
e
r
w
it
h
A
Nu
m
e
rica
l
V
a
lu
e
o
f
th
e
Ke
y
w
o
rd
,”
In
d
o
n
e
si
a
n
J
o
u
r
n
a
l
o
f
El
e
c
trica
l
En
g
in
e
e
ri
ng
a
n
d
Co
mp
u
ter
S
c
ien
c
e
,
v
o
l.
6
,
n
o
.
3
,
p
p
.
6
9
5
-
7
0
3
,
201
7
.
[2
6
]
X
.
W
a
n
g
a
n
d
C.
L
iu
,
“
A
n
o
v
e
l
a
n
d
e
ff
e
c
ti
v
e
i
m
a
g
e
e
n
c
r
y
p
ti
o
n
a
lg
o
rit
h
m
b
a
se
d
o
n
c
h
a
o
s
a
n
d
DN
A
e
n
c
o
d
in
g
,
”
M
u
lt
ime
d
ia
T
o
o
ls
A
p
p
l
.
,
v
o
l.
7
6
,
n
o
.
5
,
p
p
.
6
2
2
9
-
6
2
4
5
,
2
0
1
7
.
[2
7
]
M
.
Ku
m
a
r,
A
.
Iq
b
a
l,
a
n
d
P
.
Ku
m
a
r,
“
A
n
e
w
R
G
B
i
m
a
g
e
e
n
c
r
y
p
ti
o
n
a
lg
o
rit
h
m
b
a
se
d
o
n
DN
A
e
n
c
o
d
in
g
a
n
d
e
ll
ip
ti
c
c
u
rv
e
Diff
ie
–
He
ll
m
a
n
c
r
y
p
to
g
ra
p
h
y
,
”
S
ig
n
a
l
Pro
c
e
ss
.
,
v
o
l.
1
2
5
,
p
p
.
1
8
7
-
2
0
2
,
2
0
1
6
.
[2
8
]
X
.
Z
h
a
n
g
,
Z.
Z
h
o
u
a
n
d
Y.
Niu
,
"
A
n
I
m
a
g
e
En
c
r
y
p
ti
o
n
M
e
th
o
d
B
a
se
d
o
n
th
e
F
e
istel
Ne
tw
o
r
k
a
n
d
D
y
n
a
m
ic
DN
A
En
c
o
d
in
g
,
"
IEE
E
P
h
o
to
n
ics
J
o
u
r
n
a
l,
v
o
l.
1
0
,
n
o
.
4
,
p
p
.
1
-
1
4
,
2
0
1
8
.
[2
9
]
S
.
S
u
n
,
"
A
No
v
e
l
H
y
p
e
rc
h
a
o
ti
c
I
m
a
g
e
En
c
r
y
p
ti
o
n
S
c
h
e
m
e
B
a
se
d
o
n
DN
A
En
c
o
d
in
g
,
P
ix
e
l
-
L
e
v
e
l
S
c
ra
m
b
li
n
g
a
n
d
Bit
-
L
e
v
e
l
S
c
ra
m
b
li
n
g
,
"
IEE
E
Ph
o
to
n
ics
J
o
u
rn
a
l,
v
o
l
.
1
0
,
n
o
.
2
,
p
p
.
1
-
1
4
,
2
0
1
8
.
[3
0
]
H.
F
a
n
a
n
d
M
.
L
i,
“
Cry
p
tan
a
l
y
sis
a
n
d
Im
p
ro
v
e
m
e
n
t
o
f
Ch
a
o
s
-
Ba
se
d
Im
a
g
e
En
c
r
y
p
ti
o
n
S
c
h
e
m
e
w
it
h
Circu
lar
In
ter
-
In
tra
-
P
ix
e
ls Bi
t
-
L
e
v
e
l
P
e
rm
u
tatio
n
,
”
M
a
th
e
ma
ti
c
a
l
Pro
b
lem
s in
E
n
g
in
e
e
rin
g
,
vo
l.
2
0
1
7
,
p
p
.
1
-
1
1
,
2
0
1
7
.
Evaluation Warning : The document was created with Spire.PDF for Python.