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e
s
h
ig
h
er
n
o
n
-
li
n
ea
r
it
y
o
f
th
e
C
SP
Ns
co
n
tai
n
i
n
g
t
h
e
g
i
v
en
n
u
m
b
er
o
f
th
e
C
E
s
an
d
p
o
s
s
ib
ilit
y
to
i
m
p
r
o
v
e
ef
f
icien
c
y
o
f
th
e
h
ar
d
w
ar
e
im
p
le
m
e
n
tat
io
n
o
f
b
lo
ck
c
ip
h
er
s
.
T
h
er
ef
o
r
e
C
E
s
F
2/4
ar
e
p
r
o
v
en
to
b
e
m
o
r
e
p
o
w
er
f
u
l c
r
y
p
to
g
r
ap
h
ic
p
r
i
m
it
iv
es.
T
h
e
y
p
o
ten
tiall
y
s
u
p
p
o
r
t
d
esig
n
in
g
m
o
r
e
e
f
f
icie
n
t
C
E
s
t
h
an
ele
m
en
ts
F2
/1
an
d
F
2/2
.
W
ith
th
e
ap
p
lied
ad
v
an
ce
d
DDO
s
th
e
d
esi
g
n
o
f
cip
h
er
s
w
it
h
less
n
u
m
b
er
o
f
r
o
u
n
d
s
i
s
s
u
p
p
o
r
ted
,
y
ield
in
g
to
h
i
g
h
er
p
er
f
o
r
m
an
c
e/co
s
t r
atio
.
I
n
t
h
is
p
ap
er
w
e
co
n
s
id
er
th
e
p
r
o
b
lem
o
f
d
ev
e
lo
p
in
g
cr
iter
i
a
f
o
r
s
e
lecti
n
g
t
h
e
C
E
s
F
2/4
well
s
u
itab
le
f
o
r
th
eir
u
s
e
w
h
ile
co
n
s
tr
u
cti
n
g
th
e
C
SP
Ns
a
n
d
i
n
t
h
e
d
esi
g
n
o
f
t
h
e
f
ast
b
lo
ck
cip
h
er
s
o
r
ien
ted
t
o
ef
f
icie
n
t
h
ar
d
w
ar
e
i
m
p
le
m
en
ta
tio
n
u
s
i
n
g
th
e
FP
GA
d
e
v
ices
V
ir
tex
-
5
,
Vir
tex
-
6
an
d
Vir
tex
-
7
[
14
].
T
h
e
r
est
o
f
t
h
e
p
ap
er
is
o
r
g
a
n
ized
as
f
o
llo
w
s
:
Secti
o
n
2
i
n
tr
o
d
u
ce
s
t
h
e
cr
iter
ia
to
s
elec
t
C
E
s
F
2/4
an
d
p
r
ese
n
t
s
b
asic
cr
y
p
to
g
r
ap
h
ic
p
r
o
p
er
ties
.
I
n
Sectio
n
3
a
n
e
w
DDO
-
b
ased
cip
h
er
,
is
p
r
o
p
o
s
ed
,
w
ell
s
u
ited
to
FP
G
A
i
m
p
l
e
m
en
tatio
n
s
.
FP
G
A
s
y
n
t
h
esi
s
r
es
u
lts
a
n
d
co
m
p
ar
is
o
n
s
w
it
h
o
t
h
er
k
n
o
w
n
c
ip
h
er
s
ar
e
also
g
i
v
en
.
Fin
a
ll
y
,
i
n
Sec
tio
n
4
co
n
cl
u
s
io
n
s
is
d
is
cu
s
s
ed
.
2.
CRIT
E
R
I
A
T
O
S
E
L
E
C
T
T
H
E
CE
s
F
2
/4
AND
B
ASI
C
CRYP
T
O
G
RAP
H
I
C
P
RO
P
E
RT
I
E
S
2
.
1
.
Crit
er
ia
t
o
s
elec
t
CE
s
F
2/4
C
o
n
tr
o
lled
ele
m
en
t
F
2/4
h
a
s
a
t
w
o
-
b
it
in
p
u
t
a
n
d
o
u
tp
u
t
,
a
n
d
f
o
u
r
-
b
it
co
n
tr
o
lled
i
n
p
u
t
.
Sch
e
m
atic
r
ep
r
esen
tatio
n
o
f
C
E
s
F
2
/4
is
s
h
o
w
n
i
n
F
i
g
u
r
e
1
(
a
)
.
B
y
an
a
l
o
g
y
w
it
h
r
ep
r
esen
tatio
n
o
f
th
e
ele
m
e
n
ts
F
2/1
an
d
F
2
/2
[1
]
th
e
C
E
s
F
2/4
ca
n
b
e
co
n
v
en
ie
n
tl
y
re
p
r
esen
ted
i
n
th
e
f
o
llo
w
i
n
g
v
ar
ia
n
ts
:
-
As
a
p
air
o
f
B
o
o
lean
f
u
n
ctio
n
s
(
B
F)
w
i
th
s
ix
v
ar
iab
les
as
s
h
o
w
n
i
n
Fi
g
u
r
e
1
(
b
)
;
-
As
an
o
r
d
er
ed
s
et
of
s
ix
teen
S
-
b
o
x
e
s
o
f
s
ize
2
2
o
n
e
o
f
w
h
ic
h
is
s
e
lecte
d
d
ep
en
d
in
g
o
n
th
e
v
al
u
e
o
f
th
e
co
n
tr
o
lled
4
-
b
it
v
ec
to
r
to
p
er
f
o
r
m
tr
an
s
f
o
r
m
a
tio
n
o
f
th
e
i
n
p
u
t
2
-
b
it
b
in
ar
y
v
e
cto
r
(
x
1
,
x
2
).
(
T
h
e
co
n
tr
o
lled
4
-
b
it
v
ec
to
r
tak
e
o
n
1
6
d
if
f
er
en
t
v
al
u
es
V
=
(
v
1
,
v
2
,
v
3
,
v
4
)
=
(
0
,
0
,
0
,
1
)
;
(
0
,
0
,
1
,
0
)
;
(
0
,
0
,
1
,
1
)
;
…; (
1
,
1
,
1
,
1
)
,
to
ea
ch
o
f
w
h
ic
h
an
ele
m
e
n
tar
y
S
-
b
o
x
o
p
er
atio
n
is
to
b
e
ass
ig
n
ed
)
.
f
1
f
2
v
x
1
x
2
y
1
y
2
x
1
x
2
y
1
y
2
F
2
/
4
v
a
)
b
)
v
1
3
3
v
1
v
2
2
v
v
4
4
v
Fig
u
r
e
1
.
(
a)
C
o
n
tr
o
lled
elem
e
n
t
F
2/4
,
(
b
)
i
ts
r
ep
r
esen
tatio
n
in
th
e
f
o
r
m
o
f
a
p
air
o
f
b
o
o
lean
f
u
n
ctio
n
s
T
h
e
f
ir
s
t
v
ar
ia
n
t
o
f
re
p
r
esen
t
atio
n
is
u
s
u
all
y
u
s
ed
in
h
ar
d
w
ar
e
i
m
p
le
m
e
n
t
atio
n
o
f
C
SP
Ns
an
d
i
n
th
e
i
n
v
e
s
ti
g
atio
n
o
f
li
n
ea
r
p
r
o
p
er
ties
o
f
C
E
s
a
n
d
C
SP
Ns.
T
h
e
s
ec
o
n
d
v
ar
ian
t
i
s
u
s
ed
w
h
il
e
s
elec
tin
g
t
h
e
C
E
s
b
y
s
p
ec
i
f
ied
cr
iter
ia
[
1
,
3]
.
T
ak
in
g
in
to
ac
co
u
n
t
th
e
r
es
u
lts
o
f
th
e
p
ap
er
[
1
,
2
]
,
th
e
f
o
llo
w
i
n
g
cr
iter
ia
f
o
r
s
elec
ti
n
g
co
n
cr
ete
v
ar
ian
t
s
o
f
t
h
e
C
E
s
F
2/4
h
as
b
ee
n
f
o
r
m
u
lat
ed
in
t
h
e
ca
s
e
o
f
u
s
in
g
t
h
e
C
E
s
F
2/4
as e
le
m
e
n
tar
y
b
u
ild
in
g
b
lo
ck
s
f
o
r
co
n
s
tr
u
c
ti
n
g
t
h
e
C
SP
Ns h
a
v
i
n
g
h
i
g
h
er
n
o
n
-
li
n
ea
r
it
y
an
d
s
tr
o
n
g
er
av
a
la
n
ch
e
e
f
f
ec
t
:
-
C
r
iter
io
n
1
:
E
ac
h
o
f
t
w
o
o
u
tp
u
t
s
o
f
th
e
b
lo
c
k
F
2/4
s
h
o
u
ld
be
a
n
o
n
-
l
in
ea
r
BF
of
s
ix
v
ar
iab
les
:
1
1
1
2
1
2
3
4
(
,
,
,
,
,
)
y
f
x
x
v
v
v
v
an
d
2
2
1
2
1
2
3
4
(
,
,
,
,
,
)
;
y
f
x
x
v
v
v
v
each
o
f
w
h
ic
h
h
as
a
v
alu
e
o
f
n
o
n
-
lin
ea
r
it
y
(
NL
)
,
clo
s
e
to
th
e
m
a
x
i
m
u
m
p
o
s
s
ib
le
v
al
u
e
o
f
NL
f
o
r
b
alan
ce
d
BF
of
s
ix
v
ar
iab
les
.
-
C
r
iter
io
n
2
:
E
ac
h
o
f
th
e
s
i
x
te
en
ele
m
en
tar
y
m
o
d
if
ica
tio
n
s
o
f
th
e
b
lo
ck
F
2/
4
,
n
a
m
el
y
F
(
0)
,
F
(1)
,
F
(2)
,
…,
F
(15)
s
h
o
u
ld
b
e
b
ij
ec
tiv
e
tr
an
s
f
o
r
m
at
io
n
1
2
1
2
(
,
)
(
,
)
.
x
x
y
y
-
C
r
iter
io
n
3
: E
ac
h
o
f
t
h
e
s
i
x
tee
n
m
o
d
i
f
icatio
n
s
C
E
s
F
2/4
s
h
o
u
l
d
b
e
an
in
v
o
lu
tio
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
.
5
,
Octo
b
e
r
2
0
2
0
:
5
4
7
0
-
5478
5472
-
C
r
iter
io
n
4
:
T
h
e
lin
ea
r
co
m
b
in
atio
n
o
f
t
w
o
o
u
tp
u
ts
y
1
an
d
y
2
,
i.e
.
B
F
3
1
2
,
f
y
y
s
h
o
u
ld
h
a
v
e
n
o
n
-
li
n
ea
r
it
y
clo
s
e
to
th
e
n
o
n
-
lin
ea
r
it
y
N
L
(
y
1
)
an
d
NL
(
y
2
).
T
h
ese
cr
iter
ia
u
s
e
th
e
n
o
tio
n
o
f
th
e
n
o
n
-
l
in
ea
r
it
y
(
NL
)
o
f
s
o
m
e
B
F
.
T
h
e
n
o
n
lin
ea
r
is
d
ef
in
ed
as
d
is
tan
ce
f
r
o
m
t
h
e
BF
to
t
h
e
s
et
o
f
all
a
f
f
in
e
BF
in
t
h
e
s
a
m
e
n
u
m
b
er
o
f
v
ar
iab
les
.
Usi
n
g
t
h
ese
cr
iter
ia
,
an
d
s
o
r
tin
g
d
if
f
er
en
t
v
ar
ian
ts
o
f
C
E
s
F
2/4
,
o
n
e
can
f
i
n
d
m
a
n
y
s
p
ec
i
f
ic
ele
m
en
t
s
o
f
C
E
s
F
2/
4
,
th
at
ar
e
o
f
in
ter
est
f
o
r
th
e
u
s
e
in
t
h
e
d
esi
g
n
of
b
l
o
ck
cip
h
er
s
.
T
h
e
co
m
p
u
tat
io
n
al
d
if
f
ic
u
lt
y
o
f
th
e
co
m
p
lete
s
o
r
tin
g
o
f
all
p
o
s
s
ib
le
v
ar
ian
t
s
o
f
th
e
C
E
s
F
2/4
d
ep
en
d
s
o
n
th
e
ap
p
r
o
ac
h
to
i
m
p
le
m
en
t
th
e
s
o
r
tin
g
.
W
e
h
a
v
e
co
n
s
id
er
ed
t
w
o
ap
p
r
o
ac
h
es
to
th
is
p
r
o
b
lem
,
p
r
ev
io
u
s
l
y
u
s
ed
in
t
h
e
p
ap
er
s
[
1
,
2
]
f
o
r
s
o
r
tin
g
th
e
C
E
s
F
2/1
a
n
d
F
2/2
.
A
ct
u
al
l
y
,
th
e
f
o
llo
w
i
n
g
t
w
o
ap
p
r
o
ac
h
es h
as b
ee
n
u
s
ed
:
-
So
r
tin
g
al
l
p
o
s
s
ib
le
p
air
s
o
f
B
o
o
lean
f
u
n
ctio
n
s
1
1
1
2
1
2
3
4
(
,
,
,
,
,
)
y
f
x
x
v
v
v
v
an
d
2
2
1
2
1
2
3
4
(
,
,
,
,
,
)
;
y
f
x
x
v
v
v
v
-
So
r
tin
g
all
p
o
s
s
ib
le
s
et
s
o
f
1
6
ele
m
e
n
tar
y
S
-
b
o
x
o
p
er
atio
n
s
h
a
v
i
n
g
t
h
e
s
ize
2
2
,
w
h
i
ch
ar
e
f
u
r
t
h
er
d
en
o
ted
as
m
o
d
if
icatio
n
s
F
(
0
)
, F
(
1
)
, F
(
2
)
, ..., F
(
15)
r
ea
lized
b
y
t
h
e
ele
m
en
t
F
2/4
.
Fo
r
f
ir
s
t
ap
p
r
o
ac
h
,
th
e
a
m
o
u
n
t
o
f
co
m
p
u
tat
io
n
r
eq
u
ir
ed
f
o
r
t
h
e
e
x
h
a
u
s
ti
v
e
s
ea
r
c
h
o
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I
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8
8
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I
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128
-
B
I
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1
2
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3
.
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Descript
io
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t
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cipher
M
M
-
1
2
8
Fo
u
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d
v
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s
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2/
4
s
ati
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f
y
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g
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r
it
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g
C
SP
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a
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lo
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2/4
r
ela
tin
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t
4
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1
,
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2
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d
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3
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-
128
r
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128
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i
ter
ated
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tr
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o
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MM
-
128
is
s
h
o
w
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F
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g
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4
(
a
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,
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d
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F
ig
u
r
e
4
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b
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.
Fig
u
r
e
4
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(
a)
I
ter
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s
tr
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f
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Desig
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f
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8
is
d
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as f
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1
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1
9
2
3
2
6
4
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F
6
4
/
3
8
4
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4
/
3
8
4
I
1
-
1
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
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8708
N
ew p
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f c
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.
Fig
u
r
e
5
.
(
a)
Sch
e
m
ati
c
r
ep
r
es
en
tatio
n
o
f
C
SP
Ns
F8
/4
8
,
(
b
)
F−1
8
/4
8
T
h
e
k
e
y
s
c
h
ed
u
le
o
f
t
h
e
al
g
o
r
ith
m
MM
-
128
is
p
r
esen
ted
in
T
ab
le
3.
T
h
e
ex
ten
s
io
n
b
o
x
E
is
d
escr
ib
ed
as
f
o
llo
w
s
:
E(
X
)
=
(
X
,
X
<<2
,
X
<
<
4
,
X
<
<
6
,
X
<
<
8
,
X
<
<
1
0
)
,
w
h
er
e
X
<<
b
d
e
n
o
tes
a
c
y
clic
r
o
tatio
n
o
f
th
e
v
ec
to
r
X
= (
x
1
, ...,
x
32
)
to
th
e
lef
t
by
b
b
its
.
T
h
e
p
er
m
u
tati
o
n
in
v
o
lu
tio
n
I
1
is
d
escr
ib
ed
as f
o
llo
w
s
:
(
1
)
(
2
,
9
)
(
3
,
1
7
)
(
4
,
2
5
)
(
5
,
3
3
)
(
6
,
4
1
)
(
7
,
4
9
)
(
8
,
5
7
)
(
1
0
)
(
1
1
,
1
8
)
(
1
2
,
2
6
)
(
1
3
,
3
4
)
(
1
4
,
4
2
)
(
1
5
,
5
0
)
(
1
6
,
5
8
)
(
1
9
)
(
2
0
,
2
7
)
(
2
1
,
3
5
)
(
2
2
,
4
3
)
(
2
3
,
5
1
)
(
2
4
,
5
9
)
(
2
8
)
(
2
9
,
3
6
)
(
3
0
,
4
4
)
(
3
1
,
5
2
)
(
3
2
,
6
0
)
(
3
7
)
(
3
8
,
4
5
)
(
3
9
,
5
3
)
(
4
0
,
6
1
)
(
4
6
)
(
4
7
,
5
4
)
(
4
8
,
6
2
)
(
5
5
)
(
5
6
,
6
3
)
(
6
4
)
.
T
ab
l
e
3
.
Key
s
c
h
ed
u
li
n
g
in
M
M
-
128
j
=
1
2
3
4
5
6
7
8
9
Q
j
(
e
=
0)
K
1
K
2
K
3
K
4
K
4
K
1
K
3
K
4
K
1
U
j
(
e
=
0)
K
3
K
4
K
2
K
1
K
2
K
3
K
2
K
3
K
2
Q
j
(
e
=
1)
K
1
K
3
K
2
K
3
K
2
K
1
K
2
K
4
K
3
U
j
(
e
=
1)
K
2
K
4
K
3
K
1
K
4
K
4
K
3
K
2
K
1
3
.
2
.
Securit
y
esti
m
a
t
io
n
o
f
M
M
-
128
Dif
f
er
en
t
ial
a
n
al
y
s
i
s
o
f
t
h
e
MM
-
128
h
as
s
h
o
w
n
t
h
at
th
e
d
if
f
er
en
tia
l
c
h
ar
ac
ter
is
tic
s
[
1
5
-
2
0
]
w
it
h
a
s
m
al
l
n
u
m
b
er
o
f
ac
ti
v
e
b
its
h
a
v
e
s
ig
n
i
f
ica
n
tl
y
h
ig
h
er
p
r
o
b
a
b
ilit
y
co
m
p
ar
ed
w
it
h
th
e
c
h
ar
ac
ter
is
tics
,
w
h
ic
h
in
cl
u
d
e
th
e
d
if
f
er
en
ce
s
h
av
i
n
g
lar
g
er
w
eig
h
t
.
T
h
e
g
r
ea
test
p
r
o
b
ab
ilit
y
f
r
o
m
t
h
e
i
n
v
e
s
tig
a
ted
d
if
f
er
e
n
tia
l
ch
ar
ac
ter
is
tic
s
r
elate
s
to
th
e
c
ase
o
f
th
e
d
if
f
er
e
n
ce
(
L
1
,
0
)
p
ass
es
th
r
o
u
g
h
t
w
o
r
o
u
n
d
s
.
I
n
d
icate
d
d
if
f
er
e
n
ce
p
ass
es
t
w
o
r
o
u
n
d
s
o
f
MM
-
128
w
ith
t
h
e
p
r
o
b
ab
ilit
y
P
(
2
)
<
2
44
as
s
h
o
w
n
i
n
F
i
g
u
r
e
6
.
E
x
p
er
im
e
n
tal
s
tu
d
ie
s
h
av
e
s
h
o
w
n
t
h
at
t
h
e
p
r
o
b
ab
ilit
y
o
f
a
d
i
f
f
er
en
ce
w
it
h
o
n
e
ac
tiv
e
b
it
af
ter
t
w
o
r
o
u
n
d
s
is
2
-
47
.
I
n
ac
co
r
d
an
ce
F
2
/
4
F
2
/
4
F
2
/
4
F
2
/
4
F
2
/
4
F
2
/
4
F
2
/
4
F
2
/
4
F
2
/
4
F
2
/
4
F
2
/
4
F
2
/
4
V
3
V
2
V
1
F
2
/
4
F
2
/
4
F
2
/
4
F
2
/
4
F
2
/
4
F
2
/
4
F
2
/
4
F
2
/
4
V
2
V
3
F
2
/
4
F
2
/
4
F
2
/
4
F
2
/
4
V
1
-
1
-
1
-
1
-
1
-
1
-
1
-
1
-
1
-
1
-
1
-
1
-
1
a
)
b
)
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
.
5
,
Octo
b
e
r
2
0
2
0
:
5
4
7
0
-
5478
5476
w
it
h
th
e
o
b
tain
ed
r
esu
l
ts
o
n
i
n
v
e
s
ti
g
ati
n
g
t
h
e
d
if
f
er
en
tial
c
h
ar
ac
ter
is
tic
s
o
f
MM
-
128
o
n
e
ca
n
co
n
clu
d
ed
th
at
af
ter
s
i
x
r
o
u
n
d
s
o
f
t
h
e
en
cr
y
p
t
io
n
th
e
MM
-
128
cip
h
er
i
s
i
n
d
is
tin
g
u
is
h
ab
le
f
r
o
m
a
r
an
d
o
m
t
r
an
s
f
o
r
m
atio
n
w
it
h
a
d
if
f
er
e
n
tial
a
n
al
y
s
is
.
F
F
3
2
/
1
9
2
F
F
3
2
/
1
9
2
-
1
F
F
3
2
/
1
9
2
F
F
3
2
/
1
9
2
-
1
p
=
0
.
2
1
1
6
1
0
0
0
1
1
1
0
6
x
1
p
=
(
¾
)
3
0
0
0
0
0
0
0
0
p
=
(
¾
)
3
0
1
F
F
6
4
/
3
8
4
0
0
1
2
x
1
p
=
0
.
2
1
1
1
2
F
F
6
4
/
3
8
4
0
0
F
F
6
4
/
3
8
4
1
1
F
F
6
4
/
3
8
4
1
0
0
-
1
-
1
Fig
u
r
e
6
.
Fo
r
m
a
tio
n
o
f
t
h
e
t
wo
r
o
u
n
d
iter
ativ
e
d
if
f
er
en
ce
(
L
1
,
R
0
)
w
it
h
p
r
o
b
ab
ilit
y
Pr
(
2
)
2
44
3
.
3
.
F
P
G
A
s
y
nthe
s
is
re
s
ults a
nd
co
m
pa
ri
s
o
ns
C
i
p
h
e
r
MM
-
128
h
a
s
a
h
ig
h
ef
f
i
ci
en
cy
o
f
th
e
h
a
r
d
w
a
r
e
im
p
l
em
e
n
t
a
ti
o
n
as
c
o
m
p
a
r
e
d
w
i
th
t
h
e
b
l
o
ck
c
i
p
h
e
r
A
E
S
.
W
e
h
av
e
im
p
l
em
e
n
t
e
d
MM
-
1
2
8
u
s
i
n
g
F
PGA
(
X
i
l
in
x
V
i
r
t
ex
-
5
)
a
n
d
i
t
e
r
a
t
iv
e
lo
o
p
i
n
g
a
r
ch
i
t
e
ct
u
r
e
.
T
h
i
s
a
r
ch
i
t
e
ct
u
r
e
w
as
c
h
o
s
en
f
o
r
c
o
m
p
a
r
a
tiv
e
es
tim
a
t
i
o
n
o
f
th
e
ef
f
e
ct
iv
en
es
s
o
f
th
e
im
p
lem
en
ta
t
i
o
n
of
o
t
h
e
r
w
el
l
-
k
n
o
w
n
c
i
p
h
e
r
s
b
e
c
au
s
e
it
i
s
s
u
i
t
a
b
l
e
f
o
r
p
e
r
f
o
r
m
in
g
en
cr
y
p
t
i
o
n
in
th
e
c
i
p
h
e
r
b
l
o
ck
c
h
a
i
n
i
n
g
m
o
d
e
th
a
t
i
s
t
h
e
m
o
s
t
f
r
e
q
u
en
t
ly
u
s
e
d
o
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.
T
h
e
t
r
a
n
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it
i
o
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r
o
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h
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l
e
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c
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o
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l
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a
s
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c
t
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t
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p
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r
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o
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r
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ti
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p
r
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s
in
th
e
c
as
e
o
f
it
e
r
a
ti
v
e
l
o
o
p
in
g
a
r
c
h
it
e
c
tu
r
e
,
w
h
i
l
e
in
t
h
e
c
as
e
o
f
p
i
p
el
in
e
d
(
o
r
p
a
r
ti
a
l
ly
p
i
p
el
in
e
d
)
a
r
ch
i
t
e
c
tu
r
e
o
f
s
u
ch
t
r
an
s
i
ti
o
n
l
e
a
d
s
t
o
a
n
o
t
a
b
l
e
d
e
c
r
e
as
e
o
f
t
h
e
en
c
r
y
p
ti
o
n
r
at
e
.
Fo
r
ex
ec
u
t
io
n
a
co
m
p
ar
ati
v
e
an
al
y
s
i
s
o
f
th
e
e
f
f
ec
ti
v
en
e
s
s
o
f
t
h
e
h
ar
d
w
ar
e
i
m
p
le
m
e
n
tatio
n
o
f
th
e
cip
h
er
MM
-
128
,
esti
m
ate
d
in
ter
m
s
o
f
''
p
er
f
o
r
m
a
n
ce
/co
s
t
''
[
1
]
th
er
e
w
a
s
p
er
f
o
r
m
ed
s
i
m
u
latio
n
m
o
d
eli
n
g
of
th
e
h
ar
d
w
ar
e
i
m
p
le
m
e
n
tati
o
n
o
f
MM
-
128
an
d
w
e
ll
-
k
n
o
w
n
b
lo
ck
cip
h
er
A
E
S
w
h
ic
h
is
cu
r
r
en
t
l
y
w
id
el
y
u
s
ed
f
o
r
i
n
f
o
r
m
a
tio
n
s
ec
u
r
it
y
.
Fro
m
t
h
e
r
es
u
lt
s
s
h
o
w
n
i
n
T
ab
le
4
o
n
e
ca
n
co
n
clu
d
e
th
a
t
th
e
d
ev
elo
p
ed
cip
h
er
is
m
u
c
h
m
o
r
e
ef
f
icie
n
t
f
o
r
th
e
co
n
s
id
er
ed
h
ar
d
w
ar
e
i
m
p
le
m
en
ta
tio
n
i
n
co
m
p
ar
i
s
o
n
w
it
h
t
h
e
ad
v
an
ce
d
en
cr
y
p
tio
n
s
tan
d
ar
d
(
A
E
S).
T
ab
le
4
.
FP
GA
s
y
n
th
e
s
is
r
es
u
l
ts
an
d
c
o
m
p
ar
is
o
n
s
C
i
p
h
e
r
D
e
si
g
n
F
r
e
q
u
e
n
c
y
(
M
H
z
)
A
r
e
a
(
C
L
B
s)
D
a
t
a
R
a
t
e
(
M
b
p
s)
I
n
t
e
g
r
a
l
e
f
f
i
c
i
e
n
c
y
M
b
p
s
/
#
C
L
B
s
I
n
t
e
g
r
a
l
e
f
f
i
c
i
e
n
c
y
M
b
p
s
/
#
(
C
L
B
*
G
H
z
)
MM
-
1
2
8
(
p
r
o
p
o
se
d
)
X
C
5
V
S
X
2
4
0
T
4
2
0
,
2
95
6
.
7
2
3
7
0
,
7
7
1
6
8
,
0
8
Ea
g
l
e
-
1
2
8
[
3
]
X
C
5
V
S
X
2
4
0
T
92
7
8
1
1
.
1
7
7
1
,
5
1
1
6
,
4
A
ES [
21
]
X
C
5
V
L
X
5
0
3
3
9
,
8
7
2
0
0
4
.
3
5
0
2
1
,
7
5
6
3
,
9
7
A
ES [
22
]
X
C
5
V
S
X
2
4
0
T
2
3
3
7
5
0
1
1
9
.
3
0
0
1
5
9
,
0
7
6
8
1
,
7
1
A
ES [
23
]
X
C
5
V
L
X
1
1
0
T
2
0
2
,
2
6
4
4
4
8
2
5
.
8
9
0
5
,
8
2
2
9
,
1
A
ES [
24
]
V
i
r
t
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20.
RE
F
E
R
E
NC
E
S
[1
]
N.
A
.
M
o
ld
o
v
y
a
n
a
n
d
A.
A
.
M
o
ld
o
v
y
a
n
,
“
Da
ta
-
d
riv
e
n
c
ip
h
e
rs
fo
r
f
a
st
tele
c
o
m
m
u
n
ica
ti
o
n
sy
st
e
m
s,
”
Au
e
rb
a
c
h
Pu
b
li
c
a
ti
o
n
s
,
T
a
l
o
r
&
Fra
n
c
is Gro
u
p
,
Ne
w
Yo
rk
,
L
o
n
d
o
n
,
2
0
0
7
.
[2
]
N.
A
.
M
o
ld
o
v
y
a
n
,
e
t
a
l.
,
“
A
c
las
s
o
f
d
a
ta
-
d
e
p
e
n
d
e
n
t
o
p
e
ra
ti
o
n
s,
”
I
n
ter
n
a
ti
o
n
a
l
J
o
u
rn
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l
o
f
Ne
two
rk
S
e
c
u
rity
,
v
o
l.
2
,
n
o
.
3
,
p
p
.
1
8
7
-
2
0
4
,
2
0
0
6
.
[3
]
N.
A
.
M
o
ld
o
v
y
a
n
,
e
t
a
l.
,
“
N
e
w
c
las
s
o
f
Cr
y
p
to
g
ra
p
h
ic
P
rim
it
i
v
e
s
a
n
d
Cip
h
e
r
De
sig
n
f
o
r
Ne
t
w
o
rk
S
e
c
u
rit
y
,
”
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
Ne
tw
o
rk
S
e
c
u
rity
,
v
o
l.
2
,
n
o
.
2
,
p
p
.
1
1
4
-
1
2
5
,
2
0
0
6
.
[4
]
N.
A
.
M
o
ld
o
v
y
a
n
,
“
On
Cip
h
e
r
De
sig
n
Ba
se
d
o
n
S
w
it
c
h
a
b
le
C
o
n
tr
o
ll
e
d
O
p
e
ra
ti
o
n
s,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Ne
two
rk
S
e
c
u
rity
,
v
o
l.
7
,
n
o
3
,
p
p
.
4
0
4
-
4
1
5
,
2
0
0
8
.
[5
]
N.
H.
M
in
h
,
e
t
a
l.
,
“
De
sig
n
a
n
d
e
stim
a
te
o
f
a
n
e
w
f
a
st
b
lo
c
k
c
ip
h
e
r
f
o
r
w
irele
s
s
c
o
m
m
u
n
ica
ti
o
n
d
e
v
ice
s,
”
in
2
0
0
8
In
ter
n
a
t
io
n
a
l
C
o
n
fer
e
n
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n
A
d
v
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n
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e
d
T
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c
h
n
o
lo
g
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fo
r C
o
mm
u
n
i
c
a
ti
o
n
s,
p
p
.
4
0
9
-
4
1
2
,
2
0
0
8
.
[6
]
N.
H.
M
in
h
,
e
t
a
l.
,
“
KT
-
6
4
:
A
Ne
w
Blo
c
k
Cip
h
e
r
S
u
it
a
b
le
to
Eff
icie
n
t
F
P
G
A
I
m
p
le
m
e
n
tatio
n
,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Co
m
p
u
ter
S
c
ien
c
e
a
n
d
Ne
two
rk
S
e
c
u
rity,
v
o
l.
1
0
,
n
o
.
1
,
p
p
.
1
0
-
1
8
,
2
0
1
0
.
[7
]
B.
D.
T
h
i
,
e
t
a
l.
,
“
A
n
Ef
f
e
c
ti
v
e
a
n
d
S
e
c
u
re
Cip
h
e
r
Ba
se
d
o
n
S
DD
O,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
r
n
a
l
o
f
Co
mp
u
ter
Ne
two
rk
a
n
d
In
f
o
rm
a
ti
o
n
S
e
c
u
rity,
v
o
l.
1
1
,
p
p
.
1
-
1
0
,
2
0
1
2
.
[8
]
N.
H.
M
i
n
h
,
e
t
a
l
.
,
“
Ne
w
S
DD
O
-
Ba
se
d
Blo
c
k
Cip
h
e
r
f
o
r
W
irele
ss
S
e
n
so
r
Ne
tw
o
rk
S
e
c
u
rit
y
,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Co
m
p
u
ter
S
c
ien
c
e
a
n
d
Ne
two
r
k
S
e
c
u
rity
,
v
o
l.
10
,
n
o
.
3
,
p
p
.
5
4
-
6
0
,
2
0
1
0
.
[9
]
B.
D.
T
h
i
a
n
d
N.
H.
M
in
h
,
“
Hi
g
h
-
S
p
e
e
d
Blo
c
k
Cip
h
e
r
A
l
g
o
rit
h
m
B
a
se
d
o
n
Hy
b
rid
M
e
th
o
d
,
”
i
n
Pro
c
e
e
d
in
g
s
Ub
iq
u
it
o
u
s
In
f
o
rm
a
ti
o
n
T
e
c
h
n
o
l
o
g
ies
a
n
d
Ap
p
li
c
a
ti
o
n
s,
L
e
c
tu
re
No
tes
in
El
e
c
trica
l
En
g
i
n
e
e
rin
g
,
p
p
.
2
8
5
-
2
9
1
,
2
0
1
4
.
[1
0
]
P.
M
.
T
u
a
n
,
e
t
a
l.
,
“
Ne
w
Blo
c
k
Cip
h
e
r
s
f
o
r
W
irele
ss
M
o
b
li
le
Ne
t
w
o
k
s,
”
in
Pro
c
e
e
d
in
g
s
o
f
t
h
e
In
ter
n
a
ti
o
n
a
l
Ad
v
a
n
c
e
s i
n
In
f
o
rm
a
ti
o
n
a
n
d
C
o
mm
u
n
ica
ti
o
n
T
e
c
h
n
o
lo
g
y
(
ICT
A
2
0
1
6
)
,
p
p
.
3
9
3
-
4
0
2
,
2
0
1
7
.
[1
1
]
A
.
A
.
M
o
ld
o
v
y
a
n
,
e
t
a
l.
,
“
Co
n
tr
o
ll
e
d
El
e
m
e
n
ts
f
o
r
De
si
g
n
in
g
Cip
h
e
rs
S
u
it
a
b
le
to
Ef
f
icie
n
t
V
L
S
I
Im
p
lem
e
n
tatio
n
,
”
T
e
lec
o
mm
u
n
ica
ti
o
n
S
y
ste
ms
,
v
o
l.
3
2
,
p
p
.
1
4
9
-
1
6
3
,
2
0
0
6
.
[1
2
]
N.
A
.
M
o
ld
o
v
y
a
n
,
“
On
Cip
h
e
r
De
sig
n
Ba
se
d
o
n
S
w
it
c
h
a
b
l
e
Co
n
tr
o
ll
e
d
O
p
e
ra
ti
o
n
s
,
”
in
Pro
c
e
e
d
in
g
s
o
f
th
e
In
ter
n
a
ti
o
n
a
l
w
o
rk
sh
o
p
o
n
m
a
th
e
ma
t
ica
l
M
e
th
o
d
s,
M
o
d
e
ls,
a
n
d
Arc
h
it
e
c
t
u
re
s
fo
r
C
o
mp
u
ter
Ne
two
rk
S
e
c
u
rity,
Be
rli
n
.
S
p
rin
g
e
r
-
V
e
rlag
,
p
p
.
3
1
6
-
3
2
7
,
2
0
0
3
.
[1
3
]
N.
M
o
l
d
o
v
y
a
n
a
n
d
A
.
M
o
ld
o
v
y
a
n
,
“
In
n
o
v
a
ti
v
e
Cr
y
p
to
g
ra
p
h
y
,
”
2
e
d
it
io
n
,
C
h
a
rle
s R
ive
r M
e
d
ia
,
2
0
0
6
.
[1
4
]
X
il
i
n
x
,
“
Xil
in
x
S
o
l
u
ti
o
n
s
,
”
[
On
l
in
e
]
,
A
v
a
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[1
5
]
E.
Bih
a
m
a
n
d
A
.
S
h
a
m
ir,
“
Diffe
r
e
n
ti
a
l
Cry
p
tan
a
l
y
sis
o
f
DES
-
li
k
e
Cr
y
p
to
sy
ste
m
s,
”
J
o
u
rn
a
l
o
f
Cry
p
to
lo
g
y
,
v
o
l.
4
,
n
o
.
1
,
p
p
.
3
-
7
2
,
1
9
9
1
.
[1
6
]
E.
B
ih
a
m
a
n
d
A
.
S
h
a
m
ir,
“
Di
ff
e
re
n
ti
a
l
Cry
p
tan
a
l
y
sis
o
f
th
e
Da
ta
En
c
ry
p
ti
o
n
S
tan
d
a
rd
,
”
S
p
rin
g
e
r
,
V
e
rlag
Be
rli
n
,
He
id
e
lb
e
rg
,
1
9
9
3
.
[1
7
]
L.
R.
Kn
u
d
se
n
,
“
T
ru
n
c
a
ted
a
n
d
Hig
h
e
r
Ord
e
r
Di
ff
e
r
e
n
ti
a
ls,
”
In
ter
n
a
ti
o
n
a
l
W
o
rk
sh
o
p
o
n
Fa
st
S
o
ft
wa
re
En
c
ry
p
ti
o
n
,
p
p
.
1
9
6
-
2
1
1
,
1
9
9
5
.
[1
8
]
F
.
Ch
a
b
a
u
d
a
n
d
S
.
V
a
u
d
e
n
a
y
,
“
L
i
n
k
s Be
t
w
e
e
n
Di
ff
e
re
n
ti
a
l
a
n
d
L
in
e
a
r
Cr
y
p
tan
a
l
y
sis,
”
W
o
rk
sh
o
p
o
n
th
e
T
h
e
o
ry
a
n
d
Ap
p
li
c
a
ti
o
n
o
f
Cry
p
t
o
g
r
a
p
h
ic T
e
c
h
n
i
g
u
e
s,
A
d
v
a
n
c
e
s in
Cry
p
t
o
lo
g
y
-
EUROCRY
PT
’
9
4
,
p
p
.
3
5
6
-
3
6
5
,
1
9
9
4
.
[1
9
]
Z.
P
e
i
a
n
d
Z
.
W
e
n
y
in
g
,
“
Di
ff
e
re
n
ti
a
l
Cry
p
tan
a
ly
sis
o
n
Blo
c
k
Cip
h
e
r
S
k
in
n
y
w
it
h
M
IL
P
P
ro
g
ra
m
,
”
S
e
c
u
rity
a
n
d
Co
mm
u
n
ica
ti
o
n
Ne
two
rk
s,
S
p
e
c
ia
l
Iss
u
e
:
M
a
c
h
in
e
L
e
a
rn
i
n
g
fo
r W
i
re
les
s M
u
lt
ime
d
ia
Da
t
a
S
e
c
u
rity
,
2
0
1
8
.
[2
0
]
M
.
El
S
h
e
ik
h
a
n
d
A
.
M
.
Yo
u
ss
e
f
,
“
Re
late
d
-
k
e
y
Di
ff
e
r
e
n
ti
a
l
Cry
p
t
a
n
a
ly
sis
o
f
F
u
ll
Ro
u
n
d
CRA
F
T
,
”
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
S
e
c
u
rity,
Priva
c
y
,
a
n
d
Ap
p
li
e
d
Cry
p
to
g
ra
p
h
y
E
n
g
i
n
e
e
rin
g
,
p
p
.
5
0
-
6
6
,
2
0
1
9
.
Evaluation Warning : The document was created with Spire.PDF for Python.
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5
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Octo
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r
2
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5478
[2
1
]
M.
H.
R
a
is
a
n
d
S.
M.
Q
a
si
m
,
“
E
ff
icie
n
t
Ha
rd
w
a
r
e
Re
a
li
z
a
ti
o
n
o
f
A
d
v
a
n
c
e
d
En
c
ry
p
ti
o
n
S
tan
d
a
rd
A
l
g
o
rit
h
m
u
sin
g
V
irt
e
x
-
5
F
P
G
A
,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Co
mp
u
te
r S
c
ien
c
e
a
n
d
N
e
two
rk
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e
c
u
rity,
v
o
l.
9
,
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o
.
9
,
p
p
.
5
9
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3
,
2
0
0
9
.
[2
2
]
L.
He
n
z
e
n
a
n
d
W.
F
ich
t
n
e
r,
“
F
P
G
A
p
a
ra
ll
e
l
-
p
ip
e
li
n
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d
A
ES
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GCM
c
o
re
f
o
r
1
0
0
G
e
th
e
rn
e
t
a
p
p
li
c
a
ti
o
n
s,
”
in
Pro
c
e
e
d
i
n
g
s
o
f
E
S
S
CIRC
,
p
p
.
202
-
2
0
5
,
2
0
1
0
.
[2
3
]
R.
S.
S.
K.
Re
d
d
y
a
n
d
P.
P
ra
n
e
e
th
,
“
V
L
S
I
im
p
le
m
e
n
tatio
n
o
f
A
ES
c
r
y
p
to
p
ro
c
e
ss
o
r
f
o
r
h
ig
h
th
r
o
u
g
h
p
u
t,
”
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
A
d
v
a
n
c
e
s in
E
n
g
i
n
e
e
rin
g
,
S
c
ien
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e
a
n
d
T
e
c
h
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o
lo
g
y
,
v
o
l.
6
,
p
p
.
22
-
2
6
,
2
0
1
1
.
[2
4
]
U.
Hu
ss
a
in
a
n
d
H.
Ja
m
a
l,
“
A
n
e
ff
ici
e
n
t
h
ig
h
th
r
o
u
g
h
p
u
t
F
P
G
A
i
m
p
le
m
e
n
tatio
n
o
f
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ES
f
o
r
m
u
lt
i
-
g
ig
a
b
it
pr
o
t
o
c
o
ls,
”
i
n
1
0
t
h
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
Fro
n
ti
e
rs
o
f
In
f
o
r
ma
ti
o
n
T
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c
h
n
o
l
o
g
y
,
p
p
.
2
1
5
-
2
1
8
,
2
0
1
2
.
[2
5
]
Y.
W
a
n
g
a
n
d
Y.
Ha
,
“
F
P
G
A
-
b
a
s
e
d
4
0
.
9
-
g
b
i
ts/s
m
a
s
k
e
d
A
ES
w
it
h
a
re
a
o
p
ti
m
iza
ti
o
n
f
o
r
sto
ra
g
e
a
re
a
n
e
tw
o
rk
,
”
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
Circ
u
it
s
a
n
d
S
y
ste
ms
II:
Exp
re
ss
Briefs
,
v
o
l.
6
0
,
n
o
.
1
,
p
p
.
36
-
4
0
,
2
0
1
3
.
[2
6
]
Q.
L
iu
,
e
t
a
l.
,
“
Hig
h
th
ro
u
g
h
p
u
t
a
n
d
se
c
u
re
a
d
v
a
n
c
e
d
e
n
c
r
y
p
ti
o
n
sta
n
d
a
rd
o
n
f
ield
p
ro
g
ra
m
m
a
b
le
g
a
te
a
rr
a
y
w
it
h
f
in
e
p
ip
e
li
n
i
n
g
a
n
d
e
n
h
a
n
c
e
d
k
e
y
e
x
p
a
n
sio
n
,
”
IE
T
Co
m
p
u
ter
s Dig
it
a
l
T
e
c
h
n
iq
u
e
s
,
v
o
l.
9
,
n
o
.
3
,
p
p
.
1
7
5
-
1
8
4
,
2
0
1
5
.
[2
7
]
H
.
Zo
d
p
e
a
n
d
A
.
S
a
p
k
a
l
,
“
A
n
e
ff
i
c
ien
t
A
ES
im
p
le
m
e
n
tatio
n
u
sin
g
F
P
GA
w
it
h
e
n
h
a
n
c
e
d
s
e
c
u
rit
y
f
e
a
tu
re
s,
”
J
o
u
rn
a
l
o
f
Ki
n
g
S
a
u
d
Un
ive
rs
it
y
-
En
g
in
e
e
rin
g
S
c
ien
c
e
s
,
v
o
l
.
3
2
,
n
o
.
2
,
pp
.
1
1
5
-
1
2
2
,
2
0
20
.
B
I
O
G
RAP
H
I
E
S
O
F
AUTH
O
RS
M
in
h
Ng
u
y
e
n
H
ieu
is
a
V
ice
d
e
a
n
w
it
h
th
e
In
stit
u
te
o
f
Cry
p
to
g
r
a
p
h
ic
S
c
ien
c
e
a
n
d
T
e
c
h
n
o
lo
g
y
,
Ha
n
o
i,
V
i
e
t
n
a
m
.
He
re
c
e
iv
e
d
h
is
P
h
.
D.
f
ro
m
th
e
S
a
in
t
P
e
ters
b
u
rg
El
e
c
tri
c
a
l
E
n
g
in
e
e
rin
g
Un
iv
e
rsit
y
(2
0
0
6
).
His
re
se
a
rc
h
in
tere
sts
in
c
lu
d
e
c
ry
p
to
g
ra
p
h
y
,
c
o
m
m
u
n
ica
ti
o
n
a
n
d
n
e
tw
o
rk
se
c
u
rit
y
.
He
h
a
s
a
u
th
o
re
d
o
r
c
o
-
a
u
th
o
re
d
m
o
re
th
a
n
8
5
sc
ien
ti
f
ic
a
rti
c
les
,
b
o
o
k
s
c
h
a
p
ter
s,
re
p
o
rts
a
n
d
p
a
te
n
ts,
i
n
t
h
e
a
re
a
s o
f
h
is r
e
se
a
rc
h
.
Du
y
H
o
Ng
o
c
is
a
n
e
x
p
e
rt
o
f
Cy
b
e
r
Co
m
m
a
n
d
8
6
,
V
ietn
a
m
M
in
istry
o
f
De
fe
n
c
e
,
Da
n
a
n
g
,
V
ietn
a
m
.
His
re
se
a
rc
h
in
tere
sts
in
c
lu
d
e
c
ry
p
to
g
ra
p
h
y
,
c
o
m
m
u
n
ica
ti
o
n
a
n
d
n
e
tw
o
rk
se
c
u
rit
y
.
He
r
e
c
e
iv
e
d
h
is
P
h
.
D.
f
ro
m
th
e
S
a
in
t
P
e
ters
b
u
rg
E
lec
tri
c
a
l
En
g
in
e
e
rin
g
Un
iv
e
rsity
(2
0
0
9
).
Ca
n
h
H
o
a
n
g
Ng
o
c
is
a
Lec
tu
re
r
w
it
h
th
e
T
h
u
o
n
g
m
a
i
Un
iv
e
rsit
y
,
Ha
n
o
i,
V
ietn
a
m
.
He
re
c
e
iv
e
d
h
is
m
a
ste
r
-
d
e
g
re
e
in
in
f
o
rm
a
ti
o
n
sy
st
e
m
s
f
ro
m
L
e
Qu
y
Do
n
T
e
c
h
n
ica
l
Un
iv
e
rsit
y
o
f
V
ietn
a
m
in
2
0
1
2
.
His
re
se
a
rc
h
in
tere
sts
in
c
lu
d
e
c
r
y
p
to
g
ra
p
h
y
,
d
a
tab
a
se
,
m
a
c
h
in
e
lea
rn
in
g
.
Cu
rre
n
tl
y
,
b
e
sid
e
s
tea
c
h
in
g
,
h
e
w
o
rk
s
a
s
a
n
e
t
wo
rk
a
d
m
in
istrato
r
a
n
d
d
a
tab
a
se
a
d
m
in
istrato
r
a
t
T
h
u
o
n
g
m
a
i
Un
iv
e
rsit
y
.
Tr
u
n
g
Din
h
Ph
u
o
n
g
is
a
R
e
se
a
r
c
h
e
r
a
t
th
e
V
ietn
a
m
G
o
v
e
rn
m
e
n
t
In
f
o
rm
a
ti
o
n
S
e
c
u
rit
y
Co
m
m
it
te
e
(V
G
IS
C),
Ha
n
o
i,
V
ietn
a
m
.
His res
e
a
rc
h
in
tere
sts in
c
lu
d
e
n
e
tw
o
rk
se
c
u
rit
y
a
n
d
c
r
y
p
to
g
ra
p
h
y
.
M
a
n
h
Tr
a
n
C
o
n
g
g
o
t
h
is
m
a
s
ter
-
d
e
g
re
e
in
c
o
m
p
u
ter
sc
ien
c
e
f
ro
m
Le
Qu
y
Do
n
T
e
c
h
n
ica
l
Un
iv
e
rsit
y
o
f
V
ietn
a
m
in
2
0
0
7
.
In
2
0
1
7
M
a
n
h
g
o
t
h
is
P
h
D
d
e
g
re
e
f
ro
m
D
e
p
a
rt
m
e
n
t
o
f
Co
m
p
u
ter
S
c
ien
c
e
,
Na
ti
o
n
a
l
De
f
e
n
se
Ac
a
d
e
m
y
,
Ja
p
a
n
.
His
c
u
rre
n
t
re
se
a
rc
h
in
tere
sts
in
c
lu
d
e
n
e
tw
o
rk
traff
ic
c
la
ss
i
f
ica
ti
o
n
/an
a
ly
sis
a
n
d
a
n
o
m
a
l
y
/
m
a
li
c
io
u
s
d
e
tec
ti
o
n
.
Cu
rre
n
tl
y
,
Dr.
M
a
n
h
w
o
rk
s
a
s
a
re
se
a
rc
h
e
r
in
L
e
Qu
y
Do
n
T
e
c
h
n
ica
l
Un
iv
e
rsity
,
Ha
n
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