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o
s
ed
an
o
th
er
e
n
cr
y
p
tio
n
s
c
h
e
m
e
b
ased
o
n
I
P
M,
MV
D
an
d
r
esi
d
u
e
d
ata.
I
P
M
d
ata
ar
e
en
cr
y
p
ted
b
y
d
o
in
g
XO
R
b
et
w
ee
n
I
P
M
co
d
e
w
o
r
d
an
d
3
b
its
o
f
r
a
n
d
o
m
s
tr
ea
m
.
Fo
r
e
n
cr
y
p
ti
n
g
MV
D,
o
n
l
y
f
lip
p
in
g
t
h
e
s
i
g
n
o
f
MV
D
i
s
co
n
s
id
er
ed
to
k
ee
p
f
o
r
m
a
t
co
m
p
lian
t
an
d
les
s
co
m
p
lex
it
y
.
I
n
ca
s
e
o
f
r
esid
u
e,
th
e
ar
r
a
y
o
f
co
ef
f
icien
ts
is
d
i
v
id
ed
in
to
u
n
its
o
f
n
o
n
ze
r
o
lev
els
an
d
ze
r
o
-
r
u
n
p
air
i.e
.
n
o
n
ze
r
o
lev
e
l
ass
o
ciate
d
w
ith
it
s
p
r
ec
ed
in
g
ze
r
o
s
.
Af
ter
d
iv
id
in
g
,
a
s
cr
am
b
li
n
g
tech
n
iq
u
e
is
ap
p
lied
in
to
th
ese
u
n
its
.
T
h
e
d
r
a
w
b
ac
k
o
f
th
ese
alg
o
r
it
h
m
is
t
h
at
it
in
cr
ea
s
e
th
e
b
itra
te.
Ye
u
n
g
et
al.
[
3
]
p
r
o
p
o
s
ed
d
if
f
er
en
t
en
cr
y
p
tio
n
s
ch
e
m
e
b
ased
o
n
n
e
w
u
n
itar
y
tr
an
s
f
o
r
m
s
a
s
a
n
alter
n
ati
v
e
to
th
e
co
m
m
o
n
i
n
t
eg
er
DC
T
tr
an
s
f
o
r
m
.
T
h
e
d
is
ad
v
an
ta
g
e
o
f
th
is
tec
h
n
iq
u
e
i
s
th
at
it
n
ee
d
s
n
e
w
d
esig
n
ed
H.
2
6
4
/A
VC
e
n
co
d
er
w
h
ic
h
is
co
s
t
m
u
ch
.
L
ia
n
et
al
[
8
]
p
r
o
p
o
s
ed
an
o
th
er
p
ar
tial
-
en
cr
y
p
tio
n
tec
h
n
iq
u
e
b
ased
o
n
C
AV
L
C
.
T
h
e
s
u
f
f
i
x
p
ar
t
o
f
E
x
p
-
Go
lo
m
b
co
d
e
o
f
I
P
M
is
en
cr
y
p
ted
w
it
h
a
r
a
n
d
o
m
s
tr
ea
m
cip
h
er
.
T
h
e
s
ig
n
s
o
f
MV
D
a
n
d
AC
co
ef
f
ic
ien
ts
al
s
o
en
cr
y
p
ted
.
DC
co
ef
f
icien
t
s
ar
e
en
cr
y
p
ted
d
if
f
er
en
t
l
y
:
in
C
A
V
L
C
,
t
h
e
s
ig
n
s
tr
ail
in
g
o
n
es
T
1
an
d
lev
els
ar
e
en
cr
y
p
ted
.
B
u
t
en
cr
y
p
t
in
g
t
h
e
s
i
g
n
o
f
le
v
el
s
i
n
C
AV
L
C
i
s
in
cr
ea
s
in
g
t
h
e
b
itra
te
b
ec
au
s
e
th
e
y
ar
e
u
s
ed
i
n
en
co
d
in
g
p
r
o
ce
s
s
.
2.
B
ACK
G
RO
UND
2
.
1
.
Cha
o
t
ic
Sy
s
t
e
m
s
I
n
th
e
r
ec
e
n
t
y
ea
r
s
,
u
s
e
o
f
t
h
e
ch
ao
tic
t
h
eo
r
y
is
g
r
o
w
i
n
g
r
ap
id
ly
to
i
m
p
le
m
e
n
t
e
n
cr
y
p
ti
o
n
p
r
o
ce
s
s
.
A
lt
h
o
u
g
h
t
h
e
tr
ad
itio
n
al
cip
h
e
r
s
lik
e
DE
S
,
I
DE
A
,
R
S
A
an
d
A
E
S
ar
e
m
u
c
h
s
ec
u
r
ed
an
d
m
o
s
t
co
m
m
o
n
l
y
u
s
ed
in
e
n
cr
y
p
tio
n
alg
o
r
it
h
m
s
,
t
h
e
y
ar
e
v
er
y
co
m
p
lex
an
d
n
ee
d
s
h
ig
h
co
m
p
u
ta
tio
n
al
co
s
t.
Fo
r
th
is
,
th
e
y
ar
e
m
o
r
e
s
u
itab
le
f
o
r
b
in
ar
y
/
te
x
t
ap
p
li
ca
tio
n
w
h
er
e
t
h
e
s
ize
o
f
th
e
p
lain
tex
t
is
co
n
s
id
er
ed
m
o
d
er
ate.
Fo
r
m
u
lt
i
m
ed
ia
ap
p
licatio
n
s
esp
ec
iall
y
f
o
r
v
id
eo
s
th
e
s
ize
o
f
d
ata
f
o
r
p
r
o
ce
s
s
in
g
is
v
er
y
h
u
g
e,
en
cr
y
p
t
in
g
t
h
e
m
w
it
h
tr
ad
itio
n
al
cip
h
er
w
ill
p
r
o
d
u
ce
v
er
y
s
i
g
n
if
ica
n
t
o
v
er
h
ea
d
in
p
r
o
ce
s
s
in
g
ti
m
e.
I
n
ad
d
itio
n
,
t
h
e
h
ig
h
-
r
ed
u
n
d
an
c
y
b
et
w
ee
n
t
w
o
co
n
s
ec
u
ti
v
e
f
r
a
m
e
s
m
a
k
e
s
tr
ad
itio
n
al
cip
h
er
s
f
ails
to
h
i
d
e
th
e
s
ig
n
i
f
ica
n
t
in
f
o
r
m
at
io
n
o
f
th
e
s
o
u
r
ce
f
ile.
Fo
r
th
ese
r
ea
s
o
n
s
,
t
h
er
e
h
a
s
b
e
en
a
s
i
g
n
i
f
ican
t
tr
en
d
to
w
ar
d
s
o
th
er
cip
h
er
in
g
s
y
s
te
m
s
t
h
at
h
a
s
lo
w
co
m
p
u
tatio
n
al
co
m
p
le
x
it
y
a
n
d
s
i
m
p
le
i
m
p
le
m
en
tatio
n
.
C
h
ao
tic
s
y
s
te
m
s
h
as
b
ee
n
p
r
o
p
o
s
ed
to
b
e
an
e
f
f
icien
t
en
cr
y
p
tio
n
tech
n
iq
u
e
f
o
r
r
ea
l
-
ti
m
e
m
u
lti
m
ed
ia
ap
p
licatio
n
s
.
T
h
er
e
ar
e
m
an
y
r
ea
s
o
n
s
to
u
s
e
c
h
ao
tic
s
y
s
t
e
m
as
an
a
lter
n
at
iv
e
to
tr
ad
itio
n
al
cip
h
er
s
:
tim
e
ev
o
lu
tio
n
o
f
th
e
ch
ao
tic
s
i
g
n
al
s
tr
o
n
g
l
y
d
ep
en
d
s
o
n
th
e
in
i
t
ial
co
n
d
itio
n
s
an
d
th
e
co
n
tr
o
l
p
ar
am
eter
s
o
f
th
e
g
e
n
er
atin
g
f
u
n
ct
io
n
s
:
s
li
g
h
t
v
ar
iat
io
n
s
i
n
th
e
s
e
q
u
a
n
titi
e
s
y
ield
q
u
ite
d
if
f
er
en
t
t
i
m
e
ev
o
lu
tio
n
s
.
C
o
n
s
eq
u
e
n
tl
y
th
o
s
e
in
itial
co
n
d
itio
n
s
an
d
th
e
co
n
tr
o
l
p
ar
am
eter
s
ca
n
b
e
u
s
ed
as
a
s
h
ar
ed
en
cr
y
p
tio
n
k
e
y
.
D
if
f
er
en
t
t
y
p
es
o
f
ch
ao
tic
m
ap
s
ar
e
u
s
ed
f
o
r
en
cr
y
p
tio
n
p
r
o
ce
s
s
.
L
o
g
is
tic
Ma
p
is
o
n
e
th
e
s
i
m
p
lest
a
n
d
v
er
y
s
ec
u
r
ed
f
u
n
ct
io
n
s
.
Fo
r
m
u
la
(
1
)
s
h
o
w
s
m
at
h
e
m
atica
l
f
o
r
m
o
f
L
o
g
i
s
tic
Ma
p
:
+
1
=
(
1
−
)
(
1
)
W
h
er
e
it
d
ep
en
d
s
o
n
th
e
in
itial
co
n
d
itio
n
an
d
o
n
e
co
n
tr
o
l
p
ar
a
m
eter
.
T
h
e
in
itial
co
n
d
itio
n
ca
n
b
e
an
y
f
lo
atin
g
p
o
in
t
n
u
m
b
er
b
et
w
ee
n
0
an
d
1
an
d
th
e
co
n
tr
o
l p
ar
am
eter
h
a
s
r
an
g
e
f
r
o
m
3
.
7
to
4
.
0
<
<
1
An
d
3
.
7
≤
<
4
I
n
o
u
r
w
o
r
k
w
e
s
elec
t
L
o
g
is
t
ic
Ma
p
f
o
r
en
cr
y
p
tio
n
p
r
o
ce
s
s
b
ec
au
s
e
it
is
v
er
y
s
i
m
p
le
a
n
d
m
u
ch
s
u
itab
le
f
o
r
r
ea
l
ti
m
e
ap
p
licatio
n
s
.
2
.
2
.
E
ntr
o
py
Co
din
g
P
ro
ce
s
s
o
f
I
P
M
,
M
VD
a
n
d Re
s
idu
e
Co
ef
f
icient
s
in CAB
AC
2
.
2
.
1
.
E
ntr
o
py
co
din
g
f
o
r
I
P
M
(
I
ntr
a
-
P
re
dict
io
n
M
o
des
)
T
o
elab
o
r
atio
n
o
f
th
e
en
co
d
in
g
p
r
o
ce
s
s
f
o
r
I
P
M
w
ill
b
e
d
o
n
e
o
v
er
th
r
ee
p
ar
ts
:
f
ir
s
t,
ex
p
lan
atio
n
o
f
S
y
n
ta
x
E
le
m
en
t
s
(
SE)
t
h
at
ca
r
r
y
th
e
v
al
u
es
o
f
I
P
M
is
p
r
es
en
ted
.
Seco
n
d
,
d
if
f
er
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n
t
b
in
ar
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n
p
r
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s
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tak
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n
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Fi
n
all
y
,
d
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o
f
SEs
w
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t
h
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s
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p
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.
P
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C
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P
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IJ
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41
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is
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est
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r
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4
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_
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est I
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6
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o
f
p
r
ed
ictio
n
m
o
d
e
co
n
s
id
er
ed
f
o
r
th
e
e
n
tire
m
ac
r
o
b
lo
ck
.
Fo
r
t
h
is
r
ea
s
o
n
,
th
er
e
is
n
o
d
es
ig
n
ated
s
y
n
ta
x
ele
m
en
t
to
h
o
ld
th
e
v
al
u
e
o
f
I
n
tr
a_
1
6
x
1
6
p
r
ed
ictio
n
m
o
d
e
.
T
h
e
v
al
u
e
o
f
I
n
tr
a_
1
6
x
1
6
p
r
ed
ictio
n
m
o
d
e
w
il
l
b
e
in
c
lu
d
ed
i
m
p
l
icitl
y
u
n
d
er
th
e
s
y
n
ta
x
ele
m
e
n
t
m
b_
t
y
pe
(
th
at
h
o
ld
s
t
h
e
t
y
p
e
o
f
m
ac
r
o
b
lo
ck
)
alo
n
g
s
id
e
w
it
h
t
h
e
v
al
u
e
o
f
C
o
d
ed
B
lo
c
k
P
atte
r
n
(
C
B
P
)
.
P
ar
t 2
:
I
P
M
ar
e
b
in
ar
ized
in
C
A
B
A
C
u
s
i
n
g
th
r
ee
t
y
p
e
s
o
f
b
in
ar
izat
i
o
n
p
r
o
ce
s
s
es:
Fix
ed
-
len
g
t
h
(
F
L
)
b
i
n
ar
izatio
n
p
r
o
ce
s
s
[
7
]
:
F
L
b
i
n
ar
izatio
n
i
s
co
n
s
tr
u
cted
b
y
u
s
i
n
g
a
f
ix
ed
L
e
n
g
t
h
b
in
ar
y
r
ep
r
esen
tatio
n
o
f
u
n
s
i
g
n
ed
in
t
eg
er
o
f
th
e
s
y
n
ta
x
ele
m
en
t
v
a
l
u
e.
f
i
x
ed
L
en
g
t
h
=
(
2
(
+
1
)
)
w
h
er
e,
cM
a
x
is
th
e
m
a
x
i
m
u
m
v
alu
e
o
f
u
n
s
i
g
n
ed
i
n
teg
er
r
ep
r
esen
ted
u
s
i
n
g
b
in
ar
y
s
tr
i
n
g
.
T
r
u
n
ca
ted
u
n
ar
y
(
T
U)
[
7
]
:
is
tr
u
n
ca
ted
u
n
ar
y
b
i
n
ar
izatio
n
.
A
ll
v
al
u
es
o
f
SE
w
h
ich
ar
e
less
th
a
n
cM
ax
ar
e
b
in
ar
ized
u
s
i
n
g
u
n
ar
y
b
in
ar
iza
ti
o
n
.
A
ll g
r
ea
ter
v
a
lu
e
s
ar
e
b
in
ar
ized
s
a
m
e
as c
Ma
x
v
al
u
e.
Un
ar
y
(
U)
b
i
n
ar
izatio
n
p
r
o
ce
s
s
[
7
]
:
T
h
e
b
in
-
s
tr
i
n
g
is
co
n
s
is
ts
o
f
1
s
o
f
le
n
g
th
eq
u
al
to
t
h
e
v
al
u
e
o
f
SE
ter
m
i
n
ated
w
it
h
ze
r
o
.
P
ar
t 3
:
E
ac
h
SE
is
b
in
ar
ized
w
it
h
a
s
p
ec
if
ied
b
in
ar
izatio
n
p
r
o
ce
s
s
:
pre
v
_
intr
a
4
x
4
_
pred_
m
o
de_
f
la
g
:
b
in
ar
ized
u
s
in
g
F
L
w
it
h
cM
ax
=1
i.e
.
o
n
e
b
it
b
in
ar
y
s
tr
i
n
g
to
r
ep
r
esen
t
SE.
I
f
f
lag
is
e
n
ab
les
T
h
e
b
in
-
s
tr
i
n
g
="
1
"
else
it
is
"
0
"
.
Sam
e
m
a
n
n
er
is
to
b
i
n
ar
ize
prev
_
intr
a
8
x
8
_
pred_
m
o
de_
f
la
g
.
re
m
_
i
ntr
a
4
x
4
_
pred_
m
o
de:
b
in
ar
ized
u
s
i
n
g
F
L
w
it
h
cM
ax
=
7
i.e
.
it
n
ee
d
s
3
b
its
to
r
ep
r
esen
t
th
e
v
al
u
e
o
f
SE.
Sa
m
e
m
an
n
er
f
o
r
re
m
_
intr
a
8
x
8
_
pred_
m
o
de.
intr
a
_
chro
m
a
_
pred_
m
o
de:
b
in
ar
ized
u
s
in
g
T
U
o
f
cM
ax
=3
i.e
.
all
v
alu
e
s
m
aller
th
a
n
3
is
en
co
d
ed
u
s
in
g
Un
ar
y
b
i
n
ar
izatio
n
,
else b
i
n
-
s
t
r
in
g
w
i
ll c
o
n
s
i
s
t
s
o
f
t
w
o
o
n
es
"
1
1
"
.
2
.
2
.
2
.
E
ntr
o
py
P
ro
ce
s
s
f
o
r
R
esid
ue
Co
ef
f
icient
s
R
esid
u
e
co
ef
f
icien
ts
ar
e
en
co
d
ed
in
C
A
B
A
C
u
s
i
n
g
th
e
n
e
x
t s
y
n
ta
x
ele
m
e
n
ts
:
s
ig
nifica
nt_
co
ef
f
_
f
la
g
:
in
d
icate
s
if
th
e
cu
r
r
en
t
co
ef
f
icie
n
t
i
s
s
ig
n
i
f
ican
t/n
o
n
ze
r
o
o
r
n
o
t.
T
h
is
m
ea
n
s
,
it
d
r
a
w
th
e
m
a
p
f
o
r
th
e
p
o
s
itio
n
s
o
f
n
o
n
ze
r
o
co
ef
f
icie
n
t
s
.
la
s
t
_
s
ig
nifica
nt_
co
ef
f
_
f
la
g
:
in
d
icate
s
t
h
e
p
o
s
itio
n
o
f
t
h
e
las
t n
o
n
ze
r
o
co
ef
f
icien
t.
co
ef
f
_
a
bs
_
lev
el_
m
i
nu
s
1
:
cu
r
r
y
th
e
ab
s
o
l
u
te
v
a
lu
e
o
f
t
h
e
n
o
n
ze
r
o
co
ef
f
icien
ts
m
in
u
s
o
n
e.
co
ef
f
_
s
ig
n_
f
la
g
:
cu
r
r
y
th
e
s
i
g
n
o
f
n
o
n
ze
r
o
co
ef
f
icie
n
t
s
.
I
t
is
n
o
ticed
t
h
at,
th
e
e
n
co
d
in
g
p
r
o
ce
s
s
o
f
r
esid
u
al
d
ata
d
ep
en
d
s
o
n
f
o
u
r
d
i
f
f
er
e
n
t
t
y
p
e
s
o
f
SEs
w
h
ic
h
ar
e
h
ig
h
l
y
co
r
r
elate
d
.
A
cc
o
r
d
in
g
l
y
,
a
n
y
e
n
cr
y
p
tio
n
p
r
o
ce
s
s
f
o
r
r
esid
u
al
d
ata
s
h
o
u
ld
b
e
d
o
n
e
ca
r
ef
u
ll
y
b
ec
au
s
e
an
y
c
h
an
g
e
i
n
th
e
s
e
i
n
f
o
r
m
ati
o
n
m
a
y
lead
to
b
r
ea
k
f
o
r
m
at
c
o
m
p
atib
il
it
y
o
f
th
e
tr
a
n
s
m
itted
s
o
u
r
ce
.
T
h
r
ee
o
f
SEs:
s
ig
nifica
nt_
co
ef
f
_
f
la
g
,
la
s
t
_
s
ig
nifica
nt_
co
ef
f
_
f
la
g
a
nd
co
ef
f
_
s
ig
n_
f
la
g
ar
e
b
in
ar
ized
u
s
i
n
g
Fi
x
ed
-
le
n
g
th
(
F
L
)
b
in
ar
i
za
tio
n
p
r
o
ce
s
s
w
ith
cM
a
x
=1
b
ec
au
s
e
t
h
e
y
ar
e
f
lag
s
.
S
o
,
1
b
it
b
in
-
s
tr
in
g
w
il
l
b
e
s
u
f
f
icie
n
t
to
h
o
ld
th
e
v
al
u
e.
Fo
r
co
ef
f
_
a
bs
_
lev
el_
m
in
us
1
,
C
o
n
ca
ten
a
ted
u
n
a
r
y/k
-
th
o
r
d
er
E
xp
-
Go
lo
mb
(
UE
Gk)
b
in
ar
izatio
n
p
r
o
ce
s
s
w
it
h
k
=0
[
4
]
is
u
s
ed
.
2
.
3
.
E
nco
din
g
Pr
o
ce
s
s
f
o
r
M
o
t
io
n Ve
ct
o
r
Dif
f
er
ence
(
M
V
D)
Mo
tio
n
Vec
to
r
Dif
f
er
e
n
ce
is
e
n
co
d
ed
u
s
in
g
t
w
o
s
y
n
tax
ele
m
en
ts
:
m
v
d_
l0
[
]
[
]
[
0
]
,
m
v
d_
l1
[
]
[
]
[
0
]
to
cu
r
r
y
t
h
e
v
al
u
e
s
o
f
MV
D
in
X
-
ax
i
s
.
m
v
d_
l0
[
]
[
]
[
1
]
,
m
v
d_
l1
[
]
[
]
[
1
]
to
cu
r
r
y
t
h
e
v
al
u
e
s
o
f
MV
D
in
Y
-
ax
i
s
.
E
n
cr
y
p
tio
n
p
r
o
ce
s
s
f
o
r
MV
D
h
av
e
to
b
e
d
o
n
e
ca
r
ef
u
ll
y
b
ec
au
s
e
a
n
y
er
r
o
r
in
e
n
cr
y
p
ti
n
g
p
r
o
ce
s
s
w
ill
lead
s
to
f
o
r
m
at
i
n
co
m
p
atib
il
it
y
a
n
d
ca
n
n
o
t
d
ec
o
d
e
th
e
s
o
u
r
ce
f
ile.
T
h
e
b
in
ar
izatio
n
p
r
o
ce
s
s
f
o
r
MV
D
is
d
o
n
e
u
s
i
n
g
C
o
n
ca
ten
a
ted
u
n
a
r
y/k
-
th
o
r
d
er E
xp
-
Go
lo
m
b
(
UE
Gk)
b
in
ar
izatio
n
p
r
o
ce
s
s
w
it
h
k
=3
[
4
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8776
IJ
-
I
C
T
Vo
l.
7
,
No
.
1
,
A
p
r
il
2
0
1
8
:
39
–
48
42
Fig
u
r
e
.
1
E
n
cr
y
p
tio
n
P
r
o
ce
s
s
o
f
DC
C
o
ef
f
ic
ie
n
t
3.
P
RO
P
O
SE
D
SCH
E
M
E
T
h
e
p
r
o
p
o
s
ed
s
ch
e
m
e
is
b
ased
o
n
th
e
p
ar
tial
en
cr
y
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tio
n
o
f
th
e
th
r
ee
en
co
d
in
g
p
ar
a
m
eter
s
:
(
i)
I
P
M,
(
ii)
MV
D
an
d
(
iii)
r
esid
u
e
co
ef
f
i
cien
ts
.
I
n
tr
a
P
r
ed
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Mo
d
e
(
I
P
M)
is
a
g
o
o
d
ch
o
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f
o
r
en
cr
y
p
tio
n
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r
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ce
s
s
b
ec
au
s
e
th
e
cu
r
r
e
n
t
b
lo
ck
is
p
r
ed
icted
f
r
o
m
t
h
e
ed
g
es
o
f
th
e
n
eig
h
b
o
r
in
g
b
lo
ck
s
th
er
e
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o
r
e,
en
cr
y
p
ti
n
g
o
n
e
i
n
tr
a
b
lo
ck
w
ill
p
r
o
p
ag
ate
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e
c
h
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s
to
th
e
o
t
h
er
n
ei
g
h
b
o
r
in
g
b
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s
.
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h
e
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DR
(
I
n
s
tan
ta
n
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u
s
Dec
o
d
in
g
R
ef
r
e
s
h
)
f
r
a
m
e
c
o
n
s
i
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ts
o
f
i
n
tr
a
-
p
r
ed
i
cted
b
lo
ck
s
an
d
a
n
y
P
f
r
a
m
e
p
r
ed
icted
u
s
in
g
m
o
t
io
n
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m
p
e
n
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atio
n
w
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ll
b
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en
cr
y
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ted
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s
in
g
t
h
e
ch
ao
s
p
r
o
p
ag
ated
f
r
o
m
t
h
e
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DR
f
r
a
m
e.
E
n
cr
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ti
n
g
o
n
l
y
I
P
M
p
ar
am
eter
i
s
u
n
s
ec
u
r
e
b
ec
au
s
e
it
is
v
u
ln
er
ab
le
to
r
ep
lace
m
en
t
attac
k
[
5
]
.
Fo
r
th
i
s
r
ea
s
o
n
,
en
c
r
y
p
ti
n
g
r
esid
u
e
d
ata
w
ill
en
h
a
n
ce
t
h
e
s
ec
u
r
it
y
o
f
en
cr
y
p
tio
n
p
r
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ce
s
s
.
A
l
s
o
MV
D
d
ata
w
ill b
e
en
cr
y
p
ted
to
h
i
d
e
th
e
m
o
tio
n
i
n
f
o
r
m
atio
n
in
t
h
e
v
id
eo
.
Mo
s
t
o
f
t
h
e
f
o
r
m
er
w
o
r
k
is
b
ased
o
n
tr
ad
itio
n
al
cip
h
er
s
A
E
S,
R
S
A
an
d
DE
S.
Desp
ite
o
f
t
h
eir
h
ig
h
s
ec
u
r
it
y
m
ea
s
u
r
e
s
,
th
e
y
h
a
v
e
h
ig
h
co
m
p
u
tatio
n
co
m
p
lex
i
t
y
,
w
h
ich
i
s
u
n
s
u
itab
le
f
o
r
m
u
l
t
i
m
ed
ia
ap
p
licatio
n
b
ec
au
s
e
o
f
lar
g
e
v
o
lu
m
e
o
f
d
ata.
Fo
r
th
is
r
ea
s
o
n
,
a
d
if
f
er
en
t
l
i
g
h
t
-
w
e
ig
h
t
cip
h
er
tec
h
n
iq
u
e
is
p
r
o
p
o
s
ed
to
en
cr
y
p
t
th
e
s
elec
ted
e
n
co
d
in
g
p
ar
a
m
e
t
er
s
.
3
.
1
.
I
nitia
liza
t
io
n
Pr
o
ce
s
s
A
t t
h
e
s
tar
t o
f
en
cr
y
p
tio
n
p
r
o
ce
s
s
,
t
w
o
s
tep
s
ar
e
p
er
f
o
r
m
ed
:
Step
1
:
Set
th
e
en
cr
y
p
t
io
n
k
e
y
,
in
cl
u
d
in
g
t
h
e
in
i
tial
v
a
lu
e
x
0
an
d
co
n
tr
o
l
p
ar
am
eter
r
,
fo
r
ex
a
mp
le
x=
0
.
1
2
3
4
5
6
7
8
9
5
5
5
7
7
7
,
r
=3
.
9
.
D
C
c
o
e
f
f
<0
s
ign
=1
Yes
s
ign
=0
va
l
=a
b
s
(
DC
c
oe
ff
)
l
e
n
=s
ize
of(b
i
n
(
DC
c
oe
ff
)
)
)
n
=0
x
= 3.
9 *
x
*
(
1.
0
-
x);
n
<l
e
n
fot
=x
*
10
dd=f
ot%
2
jj=jj
<<1
jj=jj
|
dd
n
++
e
n
c
r
y
pt
e
d
DC
c
oe
ff
=s
ig
n
*
X
OR
(
DC
c
oe
ff
,
jj)
No
Yes
No
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
I
C
T
I
SS
N:
2252
-
8776
E
fficien
t E
n
cryp
tio
n
Tech
n
iq
u
e
fo
r
H.
2
6
4
/AV
C
V
id
eo
s
B
a
s
e
d
o
n
C
A
B
A
C
…
(
F
a
tma
K
.
Ta
b
a
s
h
)
43
Step
2
: D
o
1
5
0
tim
e
s
iter
atio
n
u
s
i
n
g
f
o
r
m
u
l
a[
1
]
(
x
1
.
.
.
.
.
x
101
)
.
I
n
ea
ch
iter
atio
n
o
n
e
f
lo
atin
g
p
o
in
t n
u
m
b
er
w
il
l b
e
g
en
er
ated
.
E
ac
h
n
u
m
b
er
co
n
s
i
s
ts
o
f
1
5
d
ig
it
s
af
ter
t
h
e
d
ec
i
m
al
p
o
in
t.
3
.
2
.
E
ncry
ptio
n
P
ro
ce
s
s
o
f
I
P
M
Sin
ce
prev
_
intr
a
4
x
4
_
pred_
m
o
de_
f
la
g
an
d
prev
_
intr
a
8
x
8
_
pred_
m
o
de_
f
la
g
s
y
n
tax
el
e
m
e
n
ts
ar
e
co
n
tr
o
l
p
ar
am
eter
s
,
th
e
y
ca
n
'
t
b
e
en
cr
y
p
ted
b
ec
au
s
e
th
at
w
ill
in
tr
o
d
u
ce
in
co
r
r
ec
t
e
n
co
d
in
g
r
es
u
lt
s
.
SE
intr
a
_
chro
m
a
_
pred_
m
o
de
also
w
i
ll
n
o
t
b
e
en
cr
y
p
ted
to
s
im
p
li
f
y
th
e
e
n
cr
y
p
tio
n
p
r
o
ce
s
s
.
re
m
_
i
ntr
a
4
x
4
_
pred_
m
o
de
a
n
d
re
m
_
intr
a
8
x
8
_
pred_
m
o
d
e
ar
e
h
o
ld
i
n
g
t
h
e
v
alu
e
s
o
f
t
h
e
s
elec
ted
b
est
m
o
d
es,
th
u
s
th
e
y
w
ill
b
e
s
elec
ted
f
o
r
th
e
en
cr
y
p
tio
n
p
r
o
ce
s
s
.
Nex
t
is
th
e
p
s
eu
d
o
co
d
e
o
f
th
e
en
cr
y
p
tio
n
p
r
o
ce
s
s
:
I
f
(
Up
_
Ma
cr
o
b
lo
ck
!
=N
UL
L
&
&
L
e
f
t_
Ma
cr
o
b
lo
ck
!
=
NU
L
L
)
{x
=
r
*
x
*
(
1
.
0
-
x)
d
ec
=
x
*
1
0
0
r
n
d
=d
ec
%8
cu
r
r
en
t_
I
P
M=
X
OR
(
cu
r
r
en
t_
I
P
M,
r
n
d
)
}
First,
th
e
a
v
ailab
ili
t
y
o
f
n
ei
g
h
b
o
r
in
g
m
ac
r
o
b
lo
ck
is
c
h
ec
k
ed
,
to
en
s
u
r
e
t
h
e
v
al
id
it
y
o
f
n
e
w
cip
h
er
ed
p
r
ed
ictio
n
m
o
d
es.
Ne
x
t
t
h
e
r
a
n
d
o
m
f
lo
ati
n
g
p
o
in
t n
u
m
b
er
(
c
h
ao
tic
n
u
m
b
er
)
is
o
b
tai
n
ed
b
y
u
s
i
n
g
e
x
p
r
ess
io
n
in
(
1
)
an
d
it
is
m
u
lt
ip
lied
b
y
1
0
0
.
Mo
d
8
o
f
th
is
n
u
m
b
er
is
XORed
w
it
h
th
e
o
r
ig
i
n
a
l
I
P
M
to
g
et
th
e
en
cr
y
p
ted
I
P
M.
3
.
3
.
E
ncry
ptio
n
P
ro
ce
s
s
o
f
M
VD
T
o
r
ed
u
ce
th
e
tim
e
a
n
d
co
m
p
u
tatio
n
a
l
co
m
p
lex
it
y
o
n
l
y
th
e
s
ig
n
o
f
MV
D
w
ill
b
e
en
cr
y
p
ted
.
I
f
th
e
r
an
d
o
m
v
alu
e
g
en
er
ated
u
s
i
n
g
f
o
r
m
u
la
(
1
)
is
g
r
ea
ter
th
an
0
.
5
,
th
en
th
e
s
i
g
n
o
f
MV
D
w
ill b
e
f
lip
p
ed
else it
w
i
ll
r
e
m
ain
t
h
e
s
a
m
e.
x
=
r
*
x
*
(
1
.
0
-
x)
if
(
x
>0
.
5
)
r
n
d
=1
else r
n
d
=0
m
v
_
s
ig
n
=X
O
R
(
m
v
_
s
ig
n
,
r
n
d
)
3
.
4
.
E
ncry
ptio
n
P
ro
ce
s
s
o
f
R
esid
ue
Co
ef
f
icient
s
T
h
e
en
cr
y
p
tio
n
p
r
o
ce
s
s
f
o
r
r
es
id
u
e
co
ef
f
ic
ien
ts
is
d
o
n
e
b
ased
o
n
th
r
ee
s
ta
g
e
as f
o
llo
w
:
Sta
g
e
1
:
E
n
cr
y
p
ti
n
g
t
h
e
s
ig
n
o
f
co
ef
f
ici
en
ts
.
if
t
h
e
r
an
d
o
m
n
u
m
b
er
b
y
f
o
r
m
u
la
(
1
)
is
g
r
ea
ter
0
.
5
th
en
s
et
th
e
v
al
u
e
o
f
SE
co
ef
f
_
s
ig
n_
f
la
g
as 1
,
else set a
s
0
.
Sta
g
e
2
:
I
n
th
i
s
s
ta
g
e,
w
e
e
n
cr
y
p
t
o
n
l
y
th
e
s
u
f
f
i
x
p
ar
t
o
f
th
e
b
in
-
s
tr
i
n
g
o
f
r
esid
u
e
co
ef
f
icie
n
t
s
to
av
o
id
f
o
r
m
at
in
co
m
p
atib
ili
t
y
a
n
d
in
cr
ea
s
i
n
g
i
n
b
itra
te.
T
h
e
s
u
f
f
i
x
p
ar
t
is
XORed
w
ith
a
r
an
d
o
m
b
in
ar
y
s
tr
in
g
o
f
s
a
m
e
le
n
g
th
.
Sta
g
e
3
:
T
o
g
ain
m
o
r
e
a
m
b
ig
u
it
y
,
t
h
e
f
ir
s
t
DC
co
e
f
f
icie
n
t
i
n
ea
c
h
b
lo
ck
is
e
n
cr
y
p
ted
.
F
ig
.
1
s
h
o
w
s
t
h
e
f
lo
w
ch
ar
t
o
f
en
cr
y
p
tio
n
p
r
o
ce
s
s
f
o
r
th
e
f
ir
s
t
DC
co
ef
f
icie
n
t a
n
d
n
e
x
t i
s
th
e
p
r
o
ce
d
u
r
e:
1
-
Set
s
ig
n
=th
e
s
ig
n
o
f
D
C
co
ef
f
.
2
-
Set
va
l
=
th
e
ab
s
o
lu
te
v
al
u
e
o
f
DC
co
ef
f
.
3
-
Set
len
=le
n
g
t
h
o
f
b
in
ar
y
r
ep
r
esen
tatio
n
o
f
DC
co
ef
f
u
s
i
n
g
m
at
h
e
m
atica
l
f
o
r
m
u
la
(
2
)
4
-
Gen
er
ate
r
an
d
o
m
s
eq
u
e
n
ce
o
f
len
g
t
h
len
-
1
as f
o
llo
w
:
f
o
r
(
n
=0
;n
<
len
-
1
;n
++
)
{
Set
x
u
s
i
n
g
f
o
r
m
u
la[
1
]
f
o
t=
x
*
1
0
;
d
d
=m
o
d
(
f
o
t,2
)
;
jj
=Sh
if
t_
le
f
t(
j
j
,
1
)
;
jj
=o
r
(
jj
,
d
d
)
;}
jj
is
t
h
e
r
an
d
o
m
n
u
m
b
er
o
f
l
en
g
t
h
len
-
1
(
No
t
o
f
le
n
g
th
le
n
;
t
o
k
ee
p
f
o
r
m
at
co
m
p
atib
ili
t
y
a
n
d
n
o
t
in
cr
ea
s
e
t
h
e
b
itra
te)
.
5
-
Set
n
C
o
eff
=
XO
R
(
va
l,
th
e
r
an
d
o
m
n
u
m
b
er
jj
).
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8776
IJ
-
I
C
T
Vo
l.
7
,
No
.
1
,
A
p
r
il
2
0
1
8
:
39
–
48
44
6
-
Set th
e
D
C
co
ef
f
=
s
i
g
n
*
n
C
o
eff
.
=
(
2
(
+
1
)
)
,
ℎ
(
2
)
4.
E
XP
E
R
I
M
E
NT
A
L
ANA
L
Y
SI
S
Fo
r
an
al
y
zi
n
g
t
h
e
r
esu
lt
s
o
f
th
e
p
r
o
p
o
s
ed
en
cr
y
p
tio
n
tech
n
iq
u
e,
w
e
u
s
ed
H.
2
6
4
/1
4
4
9
6
-
1
0
A
V
C
r
ef
er
en
ce
s
o
f
t
w
ar
e
J
M
1
9
an
d
r
a
w
v
id
eo
s
eq
u
e
n
ce
s
i
n
QC
I
F
f
o
r
m
at.
T
h
e
v
id
eo
s
eq
u
en
ce
s
ar
e:
“Bu
s
”,
“C
ity
”,
“C
r
e
w
”,
“Fo
o
tb
a
ll”
,
“Fo
r
ema
n
”,
“Ha
r
b
o
u
r
”,
“M
o
b
ile”
,
“Ic
e”,
a
n
d
“S
o
cc
er”
.
E
ac
h
o
f
th
e
m
r
ep
r
esen
ts
d
if
f
er
e
n
t
co
m
b
i
n
atio
n
s
o
f
m
o
tio
n
s
,
co
lo
r
s
,
co
n
tr
ast
an
d
o
b
jects.
T
h
e
f
ir
s
t
1
0
0
f
r
a
m
es
i
n
ea
ch
s
eq
u
e
n
ce
ar
e
s
elec
ted
f
o
r
ex
p
er
i
m
e
n
t
s
.
T
h
e
r
esu
lt
s
ar
e
co
m
p
ar
ed
w
it
h
th
e
tech
n
iq
u
es i
n
[
1
]
an
d
[
8
]
in
s
ec
tio
n
I
.
4
.
1
.
P
er
ce
pti
o
n
Securit
y
W
h
en
e
v
er
it
is
p
o
s
s
ib
le
to
co
n
ce
al
th
e
i
n
f
o
r
m
atio
n
o
f
t
h
e
p
lain
-
tex
t
f
o
r
m
th
e
h
u
m
a
n
p
er
ce
p
tio
n
,
it
in
cr
ea
s
es
t
h
e
p
r
o
tectio
n
ag
ain
s
t
th
e
in
ter
f
er
e
n
ce
o
f
u
n
a
u
t
h
o
r
ized
u
s
er
s
.
Fig
.
2
s
h
o
w
s
t
h
e
en
cr
y
p
t
io
n
r
esu
l
ts
u
s
in
g
th
e
p
r
o
p
o
s
ed
tec
h
n
iq
u
e
f
o
r
t
h
e
d
if
f
er
en
t
v
id
eo
s
a
m
p
les.
T
h
e
r
esu
lt
s
s
h
o
w
s
th
a
t t
h
e
e
n
cr
y
p
t
ed
s
a
m
p
les
ar
e
v
er
y
ch
ao
tic
an
d
h
ar
d
l
y
to
u
n
d
er
s
to
o
d
.
T
ab
le.
1
p
r
esen
ts
t
h
e
P
SNR
v
al
u
es
f
o
r
m
ea
s
u
r
i
n
g
t
h
e
q
u
ali
t
y
o
f
th
e
e
n
cr
y
p
te
d
v
id
eo
co
m
p
ar
ed
to
th
e
o
r
ig
i
n
a
l
o
n
e
i
n
t
h
e
th
r
ee
co
lo
r
p
lan
e
s
(
Y
U
V)
.
As
w
e
s
ee
,
t
h
e
P
SN
R
v
alu
e
s
i
n
m
o
s
t
o
f
th
e
s
elec
ted
s
a
m
p
les
ar
e
s
o
m
e
w
h
at
s
m
all
w
h
ich
i
n
d
icate
s
t
h
at
th
e
en
cr
y
p
ted
s
i
g
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al
i
s
h
i
g
h
l
y
o
p
aq
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e.
I
n
s
a
m
e
tab
le,
th
e
r
esu
lts
o
f
o
u
r
p
r
o
p
o
s
ed
tech
n
iq
u
e
ar
e
co
m
p
ar
ed
w
i
th
Selecte
d
E
n
cr
y
p
tio
n
(
SE)
te
ch
n
iq
u
e
i
n
[
1
]
.
T
h
e
r
esu
lt
s
s
h
o
w
th
a
t
o
u
r
p
r
o
p
o
s
ed
tech
n
iq
u
e
g
i
v
es
lo
w
er
r
ea
d
in
g
s
o
f
P
SNR
co
m
p
ar
ed
w
it
h
[
1
]
i
n
all
th
e
th
r
ee
co
lo
r
p
lan
es.
T
ab
le
2
g
iv
es
a
co
m
p
ar
is
o
n
b
et
w
ee
n
t
h
e
p
r
o
p
o
s
ed
te
ch
n
iq
u
e
an
d
e
n
cr
y
p
tio
n
tec
h
n
i
q
u
e
in
[
8
]
f
o
r
P
SNR
m
ea
s
u
r
e
m
e
n
t
s
.
Fi
g
u
r
e
3
s
h
o
w
s
a
co
m
p
ar
is
o
n
o
f
th
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f
ir
s
t
e
n
cr
y
p
ted
f
r
a
m
e
o
f
f
o
r
e
m
a
n
v
id
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b
et
w
ee
n
t
h
e
o
u
r
p
r
o
p
o
s
ed
tech
n
iq
u
e
an
d
SE
tech
n
iq
u
e
in
[
1
]
at
d
if
f
er
en
t
QP
v
alu
e
s
.
As
it
is
s
h
o
w
n
,
t
h
e
p
r
o
p
o
s
ed
tech
n
iq
u
e
is
h
id
in
g
th
e
in
f
o
r
m
a
tio
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o
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th
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p
ictu
r
e
m
o
r
e
ef
f
icie
n
tl
y
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h
a
n
[
1
]
,
w
h
er
e
in
[
1
]
th
e
tex
tu
r
e
an
d
f
ac
ial
f
ea
tu
r
es
o
f
th
e
p
ictu
r
e
ca
n
b
e
ea
s
il
y
r
ec
o
g
n
ized
.
T
ab
le
3
s
h
o
w
s
t
h
e
v
a
lu
e
s
o
f
P
SNR
o
f
f
o
r
e
m
an
v
id
eo
at
d
if
f
er
e
n
t
QP
v
al
u
es
an
d
co
m
p
ar
ed
w
it
h
th
e
v
alu
e
s
p
r
esen
ted
in
[
1
]
.
I
t
is
s
h
o
w
n
t
h
at
th
e
p
r
o
p
o
s
ed
tech
n
iq
u
e
h
a
s
less
P
SNR
v
al
u
es
w
h
ic
h
m
ea
n
s
t
h
at
it
m
o
r
e
ef
f
ic
ien
tl
y
co
n
ce
al
t
h
e
in
f
o
r
m
a
tio
n
o
f
th
e
v
id
eo
.
4
.
2
.
Cry
pt
o
g
ra
ph
ic
Securit
y
C
r
y
p
to
g
r
ap
h
ic
s
ec
u
r
it
y
d
ep
en
d
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o
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th
e
cip
h
er
s
ad
o
p
ted
b
y
t
h
e
en
cr
y
p
t
io
n
s
ch
e
m
e.
I
n
th
e
p
r
o
p
o
s
ed
tech
n
iq
u
e,
th
e
ad
o
p
ted
cip
h
er
is
b
ased
o
n
c
h
ao
tic
lo
g
i
s
tic
m
ap
w
h
er
e
i
ts
s
ec
u
r
it
y
an
al
y
s
is
i
s
clea
r
l
y
p
r
o
v
ed
in
[
6
]
.
Or
ig
i
n
al
Fra
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E
n
cr
y
p
ted
1
s
t
Fra
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e
Or
ig
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n
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Fra
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n
cr
y
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ted
1
s
t
Fra
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e
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
I
C
T
I
SS
N:
2252
-
8776
E
fficien
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cryp
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Tech
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6
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Fig
u
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n
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Fra
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
:
2
2
5
2
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8776
IJ
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I
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T
Vo
l.
7
,
No
.
1
,
A
p
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1
8
:
39
–
48
46
4
.
2
.
1
.
K
ey
Sp
a
ce
I
n
th
e
p
r
o
p
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s
ed
tech
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iq
u
e,
th
e
s
ec
r
ete
k
e
y
i
s
co
m
b
in
a
tio
n
o
f
t
h
e
in
i
tial
p
ar
a
m
eter
s
o
f
lo
g
is
t
i
c
m
ap
:
th
e
in
itial
co
n
d
itio
n
an
d
th
e
co
n
tr
o
l
p
ar
am
eter
,
w
h
er
e
is
an
y
f
lo
atin
g
p
o
in
t
n
u
m
b
er
[
0
,
1
)
an
d
[
3
.
5
,
4
)
.
Sin
ce
is
d
o
u
b
le
-
p
r
ec
is
io
n
f
lo
ati
n
g
p
o
in
t
n
u
m
b
er
t
h
en
6
4
b
its
ar
e
u
s
ed
to
p
r
esen
t
th
is
n
u
m
b
er
i
n
b
in
ar
y
.
T
h
u
s
,
t
h
e
k
e
y
s
p
ac
e
at
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64
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m
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at
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to
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ec
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y
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t
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er
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tex
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I
n
t
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s
e,
B
r
u
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r
ce
A
ttac
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ils
to
d
ec
r
y
p
t
th
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ter
ested
p
lain
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x
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4
.
2
.
2
.
Repla
ce
m
ent
At
t
a
c
k
On
e
o
f
th
e
co
m
m
o
n
attac
k
s
in
v
id
eo
en
cr
y
p
tio
n
ar
ea
is
th
e
r
e
p
lace
m
en
t a
ttac
k
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h
is
t
y
p
e
o
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attac
k
s
is
tr
y
in
g
all
th
e
p
o
s
s
ib
le
co
m
b
in
a
tio
n
s
o
f
th
e
p
ar
a
m
eter
s
(
I
n
tr
a
-
P
r
ed
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m
o
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es,
MV
D
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d
r
esid
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e
co
ef
f
icien
ts
)
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at
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r
e
u
s
ed
i
n
t
h
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e
n
cr
y
p
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n
p
r
o
ce
s
s
,
to
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ev
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l m
o
r
e
i
n
f
o
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atio
n
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o
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t
t
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er
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te
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t.
A
c
co
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g
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y
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w
e
w
il
l
co
u
n
t
t
h
e
n
u
m
b
er
o
f
tr
ia
ls
t
h
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th
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attac
k
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ca
n
d
o
to
g
e
t
m
o
r
e
clea
r
d
ec
r
y
p
ted
f
r
a
m
es.
T
o
b
r
ea
k
o
n
m
ac
r
o
b
lo
ck
,
T
h
e
attac
k
er
n
ee
d
s
to
b
r
ea
k
1
6
s
u
b
-
b
lo
ck
o
f
4
x
4
s
ize.
T
h
u
s
to
g
u
e
s
s
o
n
e
s
u
b
-
b
lo
ck
h
e
n
ee
d
s
2
3
∗
2
3
∗
2
2
∗
2
∗
(
16
,
16
)
tr
ials
to
d
ec
r
y
p
t
o
n
e
4
x
4
s
u
b
b
l
o
ck
.
T
o
d
ec
r
y
p
t
t
h
e
en
tire
m
ac
r
o
b
lo
ck
h
e
n
ee
d
s
to
m
u
ltip
l
y
t
h
e
n
u
m
b
er
b
y
1
6
.
T
h
u
s
,
to
attac
k
o
n
e
m
ac
r
o
b
lo
ck
u
s
in
g
r
ep
lace
m
en
t
atta
ck
,
a
h
u
g
e
n
u
m
b
er
o
f
tr
ials
n
ee
d
to
b
e
a
p
p
lied
,
s
o
d
ec
r
y
p
ti
n
g
t
h
e
e
n
tire
f
r
a
m
e
w
i
ll b
e
al
m
o
s
t
i
m
p
o
s
s
ib
le.
T
ab
le
1
.
P
SNR
Valu
e
s
o
f
t
h
e
E
n
cr
y
p
ted
Vid
eo
s
Usi
n
g
P
r
o
p
o
s
ed
T
ec
h
n
iq
u
e
C
o
m
p
ar
ed
W
ith
SE
i
n
[
1
]
T
ab
le
2
.
C
o
m
p
ar
is
o
n
o
f
P
SNR
B
et
w
ee
n
t
h
e
P
r
o
p
o
s
ed
T
ec
h
n
iq
u
e
C
o
m
p
ar
e
d
an
d
T
ec
h
n
iq
u
e
in
[
8
]
P
S
N
R
(
Y
)
P
r
o
p
o
se
d
T
e
c
h
n
i
q
u
e
[
8
]
O
r
i
g
.
En
c
.
O
r
i
g
.
En
c
.
S
a
l
e
sm
a
n
4
4
.
8
6
.
4
3
6
.
2
9
.
5
Fo
rem
a
n
4
5
.
0
8
.
1
3
6
.
7
1
1
.
4
Mo
b
i
l
e
4
4
.
3
8
.
5
3
3
.
7
7
.
4
T
ab
le
3
.
C
o
m
p
ar
is
o
n
o
f
P
SNR
B
et
w
ee
n
t
h
e
n
P
r
o
p
o
s
ed
T
ec
h
n
iq
u
e
a
n
d
SE
in
[
1
]
Fo
r
Fo
r
e
m
a
n
Vid
eo
s
in
Di
f
f
er
en
t Q
P
Valu
e
s
P
S
N
R
(
Y
)
P
S
N
R
(
U
)
P
S
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R
(
V
)
P
r
o
p
o
se
d
SE
P
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o
p
o
se
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SE
P
r
o
p
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se
d
SE
18
8
.
1
1
0
.
4
2
2
.
8
2
3
.
9
2
2
.
6
2
3
.
2
24
8
.
9
9
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7
2
2
.
1
2
4
.
9
2
4
.
3
2
5
.
0
30
8
.
9
9
.
2
2
2
.
8
2
4
.
9
2
4
.
1
2
4
.
0
36
8
.
0
8
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2
2
3
.
7
2
4
.
3
2
3
.
0
2
3
.
3
42
7
.
3
8
.
6
2
4
.
9
2
6
.
8
2
5
.
0
2
4
.
6
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
I
C
T
I
SS
N:
2252
-
8776
E
fficien
t E
n
cryp
tio
n
Tech
n
iq
u
e
fo
r
H.
2
6
4
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C
V
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s
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d
o
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C
A
B
A
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…
(
F
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tma
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.
Ta
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a
s
h
)
47
Q
P
=
1
8
Q
P
=
3
0
Q
P
=
4
2
P
r
o
p
o
se
d
S
E[
1
]
Fig
u
r
e
3
.
C
o
m
p
ar
is
o
n
o
f
E
n
cr
y
p
ted
Fo
r
e
m
an
Fra
m
e
B
et
w
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n
th
e
P
r
o
p
o
s
ed
T
ec
h
n
iq
u
e
an
d
SE
in
[
1
]
4
.
3
.
Co
m
p
uta
t
io
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Co
st
4
.
3
.
1
.
Co
m
pu
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a
t
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Co
m
pl
ex
it
y
T
h
e
p
r
o
p
o
s
ed
tech
n
iq
u
e
is
b
ased
o
n
ch
a
o
tic
s
y
s
te
m
s
w
h
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ar
e
v
er
y
s
i
m
p
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an
d
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n
s
u
m
e
s
v
er
y
s
m
al
l
co
m
p
u
tatio
n
al
p
o
w
er
.
I
n
[
1
]
t
h
e
en
cr
y
p
tio
n
p
r
o
ce
s
s
is
b
ased
o
n
A
E
S
tech
n
iq
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e
w
h
ich
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er
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m
u
c
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co
m
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u
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al
p
o
w
er
.
I
n
[
8
]
,
tech
n
iq
u
e
is
b
ase
d
o
n
en
cr
y
p
ti
n
g
th
e
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n
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.
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ab
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.
R
ate
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n
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in
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g
T
i
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in
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e
P
r
o
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e
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T
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iq
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e
a
n
d
SE
[
1
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S
e
q
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e
n
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%
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s
0
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y
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/
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r
ith
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C
A
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A
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MV
D,
a
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d
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an
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f
o
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m
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tal
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RE
F
E
R
E
NC
E
S
[1
]
Zaf
a
r
S
h
a
h
id
,
M
a
rc
Ch
a
u
m
o
n
t,
W
il
li
a
m
P
u
e
c
h
.
“
F
a
st
P
ro
tec
ti
o
n
o
f
H
.
2
6
4
/A
V
C
b
y
S
e
lec
ti
v
e
En
c
ry
p
ti
o
n
o
f
CA
V
L
C
a
n
d
CA
BA
C
f
o
r
I
a
n
d
P
f
ra
m
e
s,”
IEE
E
T
ra
n
s.
Circ
u
it
s S
y
st.
Vi
d
e
o
T
e
c
h
n
o
l
.
2
0
1
1
;
2
1
(
5
)
M
a
y
:
5
6
5
-
5
7
6
.
[2
]
P.
-
C.
S
u
,
C.
-
W
.
Hs
u
,
C.
-
Y.
W
u
.
“
A
p
ra
c
ti
c
a
l
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e
sig
n
o
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o
n
ten
t
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r
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6
4
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C
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o
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f
in
g
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rp
ri
n
ti
n
g
,
”
M
u
lt
ime
d
ia
T
o
o
ls A
p
p
li
c
a
t
.
2
0
1
1
;
5
2
(
2
–
3
)
Ja
n
:
5
2
9
–
5
4
9
.
[3
]
S.
-
K.
A
.
Ye
u
n
g
,
S
.
Z
h
u
,
a
n
d
B.
Zen
g
,
“
P
a
rti
a
l
v
id
e
o
e
n
c
ry
p
ti
o
n
b
a
se
d
o
n
a
lt
e
rn
a
t
in
g
tran
sf
o
rm
s
,
”
IEE
E
S
ig
n
a
l
Pro
c
e
ss
.
L
e
tt
.
,
2
0
0
9
;
1
6
(
1
0
)
Oc
t
:
8
9
3
–
8
9
6
.
[4
]
D.
M
a
rp
e
,
H.
S
c
h
w
a
rz
,
T
.
W
i
e
g
a
n
d
.
“
Co
n
tex
t
-
b
a
se
d
a
d
a
p
ti
v
e
b
i
n
a
ry
a
rit
h
m
e
ti
c
c
o
d
in
g
in
th
e
H.
2
6
4
/A
V
C
v
id
e
o
c
o
m
p
re
ss
io
n
sta
n
d
a
rd
,
”
IE
EE
T
r
a
n
s.
Circ
u
it
s
S
y
st.
Vi
d
e
o
T
e
c
h
n
o
l
.,
2
0
0
3
;
1
3
(
7
)
Ju
l
:
6
2
0
–
6
3
6
.
[5
]
M.
P
o
d
e
ss
e
r
,
H.
S
c
h
m
id
t,
a
n
d
A
.
Uh
l,
“
S
e
lec
ti
v
e
b
it
p
l
a
n
e
e
n
c
ry
p
ti
o
n
fo
r
se
c
u
re
tra
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sm
issio
n
o
f
ima
g
e
d
a
ta
in
mo
b
il
e
e
n
v
iro
n
me
n
ts,”
In
CD
-
ROM
P
ro
c
e
e
d
in
g
s
o
f
th
e
5
th
IE
EE
No
r
d
ic
S
ig
n
a
l
P
ro
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ss
in
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S
y
m
p
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m
(N
ORSIG
2
0
0
2
)
,
T
ro
m
so
-
T
ro
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d
h
e
im
,
No
rw
a
y
,
O
c
to
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e
r
2
0
0
2
.
[6
]
S
.
L
ian
,
J.
S
u
n
,
Z.
W
a
n
g
,
e
t
a
l.
,
“
S
e
c
u
rit
y
a
n
a
ly
sis
o
f
a
c
h
a
o
s
-
b
a
se
d
im
a
g
e
e
n
c
r
y
p
ti
o
n
a
lg
o
rit
h
m
,
”
Ph
y
sic
a
A:
S
ta
ti
st
ica
l
M
e
c
h
a
n
ics
a
n
d
i
ts A
p
p
li
c
a
ti
o
n
s
,
2
0
0
5
;
3
5
1
(
2
–
4
)
:
6
4
5
–
6
6
1
,
.
[7
]
IT
U
-
T
Re
c
o
m
m
e
n
d
a
ti
o
n
H.2
6
4
.
S
e
ries
H:
A
u
d
io
v
isu
a
l
A
n
d
M
u
lt
im
e
d
ia
S
y
ste
m
s
.
In
f
ra
stru
c
tu
re
o
f
a
u
d
io
v
isu
a
l
se
rv
ice
s
-
Co
d
i
n
g
o
f
m
o
v
in
g
v
id
e
o
.
A
d
v
a
n
c
e
d
v
id
e
o
c
o
d
in
g
f
o
r
g
e
n
e
ric au
d
io
v
isu
a
l
se
rv
ice
s.
2
0
1
2
.
[8
]
S
.
L
ian
,
Z
.
L
iu
,
Z.
Re
n
,
H.
W
a
n
g
.
“
S
e
c
u
re
a
d
v
a
n
c
e
d
v
id
e
o
c
o
d
i
n
g
b
a
se
d
o
n
se
lec
ti
v
e
e
n
c
ry
p
ti
o
n
a
lg
o
rit
h
m
s,”
IEE
E
T
ra
n
s.
C
o
n
s
u
me
r E
lec
tro
n
.
,
2
0
0
6
;
5
2
(
2
)
M
a
y
:
6
2
1
–
6
2
9
.
[9
]
Y.
L
iu
,
C.
Yu
a
n
,
Y.
Z
h
o
n
g
.
“
A
n
e
w
d
i
g
it
a
l
ri
g
h
ts
ma
n
a
g
e
me
n
t
sy
ste
m
in
mo
b
il
e
a
p
p
li
c
a
t
io
n
s
u
sin
g
H.
2
6
4
e
n
c
ry
p
ti
o
n
,
”
i
n
P
r
o
c
.
9
th
I
n
t.
Co
n
f
.
A
d
v
.
Co
m
m
u
n
.
T
e
c
h
n
o
l.
,
2
0
0
7
;
(
1
)
F
e
b
:
5
8
3
–
5
8
6
.
[1
0
]
L
.
T
o
n
g
,
F
.
Da
i,
Y.
Z
h
a
n
g
,
J.
L
i.
“
P
re
d
ictio
n
re
stricte
d
H.
2
6
4
/
A
V
C
v
id
e
o
sc
ra
m
b
li
n
g
f
o
r
p
r
iv
a
c
y
p
ro
tec
ti
o
n
,
”
El
e
c
tro
n
.
L
e
tt
.,
2
0
1
0
;
4
6
(
1
)
Ja
n
:
4
7
–
4
9
.
[1
1
]
Y.
L
i,
L
.
L
ian
g
,
Z.
S
u
,
J.
Jia
n
g
.
“
A
n
e
w
v
id
e
o
e
n
c
ry
p
ti
o
n
a
lg
o
rit
h
m
fo
r
H.
2
6
4
,
”
i
n
P
r
o
c
.
5
t
h
ICI
CS
,
De
c
.
2
0
0
5
:
1
1
2
1
–
1
1
2
4
.
[1
2
]
E.
M
a
g
li
,
M
.
G
ra
n
g
e
tt
o
,
G
.
Ol
m
o
.
“
Co
n
d
i
ti
o
n
a
l
a
c
c
e
ss
to
H.2
6
4
/A
V
C
v
id
e
o
wit
h
d
rift
c
o
n
tro
l
,
”
in
P
r
o
c
.
IEE
E
ICM
E
,
Ju
l.
2
0
0
6
:
1
3
5
3
–
1
3
5
6
.
[1
3
]
Y.
W
a
n
g
,
M
.
O’N
e
il
l,
F
.
Ku
ru
g
o
ll
u
.
“
T
h
e
Imp
ro
v
e
d
sig
n
b
i
t
En
c
ry
p
ti
o
n
o
f
M
o
ti
o
n
Vec
to
rs
fo
r
H.2
6
4
/A
VC
“
,
EURA
S
IP
,
2
0
t
h
E
u
ro
p
e
a
n
S
ig
n
a
l
P
ro
c
e
ss
in
g
Co
n
f
e
re
n
c
e
(EUS
IP
CO
2
0
1
2
),
Bu
c
h
a
re
st,
Ro
m
a
n
ia,
A
u
g
u
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