I
AE
S In
t
er
na
t
io
na
l J
o
urna
l o
f
Art
if
icia
l In
t
ellig
ence
(
I
J
-
AI
)
Vo
l.
14
,
No
.
4
,
A
u
g
u
s
t 2
0
2
5
,
p
p
.
2
6
6
7
~
2
6
7
5
I
SS
N:
2
2
5
2
-
8
9
3
8
,
DOI
: 1
0
.
1
1
5
9
1
/ijai.v
14
.i
4
.
p
p
2
6
6
7
-
2
6
7
5
2667
J
o
ur
na
l ho
m
ep
a
g
e
:
h
ttp
:
//ij
a
i
.
ia
esco
r
e.
co
m
O
ptimi
zed da
ta security a
nd s
tora
g
e using
impro
v
ed blowfish
a
nd mo
dula
r encr
y
ption in clou
d
-
b
a
sed intern
et
o
f
t
hing
s
Sa
rit
ha
I
ba
k
k
a
na
v
a
r
G
ud
da
pp
a
1
,
So
wm
y
a
s
hree
M
a
llig
eha
lli Sh
iv
a
k
um
a
ra
s
wa
my
1
,
Na
v
ee
n
I
ba
k
k
a
na
v
a
r
G
ud
da
pp
a
2
1
D
e
p
a
r
t
me
n
t
o
f
El
e
c
t
r
o
n
i
c
s a
n
d
C
o
m
mu
n
i
c
a
t
i
o
n
En
g
i
n
e
e
r
i
n
g
,
B
M
S
I
n
st
i
t
u
t
e
o
f
Te
c
h
n
o
l
o
g
y
a
n
d
M
a
n
a
g
e
me
n
t
,
B
e
n
g
a
l
u
r
u
,
I
n
d
i
a
2
D
e
p
a
r
t
me
n
t
o
f
El
e
c
t
r
o
n
i
c
s a
n
d
C
o
m
mu
n
i
c
a
t
i
o
n
En
g
i
n
e
e
r
i
n
g
,
N
i
t
t
e
M
e
e
n
a
k
sh
i
I
n
st
i
t
u
t
e
o
f
Te
c
h
n
o
l
o
g
y
,
B
e
n
g
a
l
u
r
u
,
I
n
d
i
a
Art
icle
I
nfo
AB
S
T
RAC
T
A
r
ticle
his
to
r
y:
R
ec
eiv
ed
Oct
1
7
,
2
0
2
4
R
ev
is
ed
J
u
n
1
7
,
2
0
2
5
Acc
ep
ted
J
u
l 1
0
,
2
0
2
5
Th
e
in
c
re
a
sin
g
d
e
v
e
lo
p
m
e
n
t
o
f
t
h
e
in
tern
e
t
o
f
th
in
g
s
(Io
T)
h
a
s
m
a
d
e
c
lo
u
d
-
b
a
se
d
sto
ra
g
e
sy
ste
m
s
e
ss
e
n
ti
a
l
fo
r
sto
ri
n
g
,
p
r
o
c
e
ss
in
g
,
a
n
d
sh
a
ri
n
g
Io
T
d
a
ta.
En
su
ri
n
g
c
l
o
u
d
se
c
u
rit
y
is
c
ru
c
ia
l
a
s
it
m
a
n
a
g
e
s
a
larg
e
v
o
lu
m
e
o
f
se
n
siti
v
e
a
n
d
o
u
tso
u
rc
e
d
d
a
ta
v
u
ln
e
ra
b
l
e
to
u
n
a
u
t
h
o
rize
d
a
c
c
e
ss
.
Th
i
s
re
se
a
rc
h
p
ro
p
o
se
s
a
n
imp
ro
v
e
d
b
lo
wf
ish
a
lg
o
rit
h
m
a
n
d
m
o
d
u
lar
e
n
c
ry
p
ti
o
n
sta
n
d
a
rd
(IBA
-
M
ES
)
f
o
r
se
c
u
re
a
n
d
e
fficie
n
t
d
a
ta
sto
ra
g
e
in
c
lo
u
d
-
b
a
se
d
I
o
T
sy
ste
m
s.
Th
e
b
lo
c
k
c
ip
h
e
r
str
u
c
tu
re
in
i
m
p
ro
v
e
d
b
lo
wfis
h
a
lg
o
rit
h
m
(
IB
A
)
e
n
a
b
les
sc
a
li
n
g
fo
r
d
if
fe
re
n
t
d
a
ta
siz
e
s,
e
n
su
rin
g
se
c
u
re
d
a
ta
h
a
n
d
l
in
g
a
c
ro
ss
a
wid
e
ra
n
g
e
o
f
I
o
T
d
e
v
ice
s.
Ad
d
it
io
n
a
ll
y
,
IBA
-
M
ES
a
d
a
p
tab
il
it
y
h
e
lp
s
m
a
in
tain
d
a
ta
in
teg
rit
y
,
e
n
h
a
n
c
in
g
b
o
t
h
th
e
se
c
u
rit
y
a
n
d
e
fficie
n
c
y
o
f
d
a
ta
sto
ra
g
e
i
n
c
lo
u
d
-
b
a
se
d
Io
T
e
n
v
iro
n
m
e
n
ts.
M
o
d
u
lar
e
n
c
ry
p
ti
o
n
sta
n
d
a
rd
(
M
ES
)
re
d
u
c
e
s
late
n
c
y
d
u
ri
n
g
e
n
c
r
y
p
ti
o
n
o
p
e
r
a
ti
o
n
s,
e
n
su
r
in
g
q
u
ick
d
a
ta
tr
a
n
sa
c
ti
o
n
s
b
e
twe
e
n
th
e
c
lo
u
d
se
rv
e
r
a
n
d
Io
T
d
e
v
ice
s.
By
c
o
m
b
in
i
n
g
b
l
o
wfi
sh
’s
sp
e
e
d
a
n
d
stre
n
g
t
h
wit
h
m
o
d
u
lar
e
n
c
r
y
p
ti
o
n
’s
a
d
a
p
tab
il
it
y
,
IBA
-
M
ES
p
r
o
v
i
d
e
s
ro
b
u
st
d
a
ta
p
ro
tec
ti
o
n
.
M
e
tri
c
s
s
u
c
h
a
s
e
x
e
c
u
t
io
n
ti
m
e
,
c
e
n
tral
p
ro
c
e
ss
in
g
u
n
it
(
C
P
U
)
u
sa
g
e
,
e
n
c
ry
p
ti
o
n
ti
m
e
,
d
e
c
ry
p
ti
o
n
ti
m
e
,
ru
n
ti
m
e
,
a
n
d
l
a
ten
c
y
a
re
c
a
lcu
late
d
fo
r
th
e
p
ro
p
o
se
d
IB
A
-
M
ES
.
F
o
r
7
0
0
b
l
o
c
k
s,
th
e
I
BA
-
M
ES
a
c
h
iev
e
s
e
n
c
ry
p
ti
o
n
a
n
d
d
e
c
ry
p
ti
o
n
ti
m
e
s
o
f
2
7
0
a
n
d
4
1
5
m
s,
re
s
p
e
c
ti
v
e
ly
,
o
u
t
p
e
rfo
rm
in
g
t
h
e
tri
p
le d
a
ta en
c
r
y
p
ti
o
n
sta
n
d
a
rd
(TDE
S
).
K
ey
w
o
r
d
s
:
C
lo
u
d
-
b
ased
s
to
r
ag
e
s
y
s
tem
E
f
f
icien
t d
ata
s
to
r
ag
e
I
m
p
r
o
v
ed
b
l
o
wf
is
h
alg
o
r
ith
m
I
n
ter
n
et
o
f
th
in
g
s
Mo
d
u
lar
en
cr
y
p
tio
n
s
tan
d
ar
d
T
h
is i
s
a
n
o
p
e
n
a
c
c
e
ss
a
rticle
u
n
d
e
r th
e
CC B
Y
-
SA
li
c
e
n
se
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
Sar
ith
a
I
b
ak
k
a
n
av
ar
G
u
d
d
a
p
p
a
Dep
ar
tm
en
t o
f
E
lectr
o
n
ics an
d
C
o
m
m
u
n
icatio
n
E
n
g
in
ee
r
i
n
g
B
MS
I
n
s
titu
te
o
f
T
ec
h
n
o
lo
g
y
an
d
Ma
n
ag
e
m
en
t
Do
d
d
ab
allap
u
r
Ma
in
R
o
ad
,
Av
alah
alli,
Yela
h
an
k
a,
B
en
g
alu
r
u
-
5
6
0
1
1
9
,
I
n
d
ia
E
m
ail:
s
ar
ith
a.
i.g
@
b
m
s
it.in
1.
I
NT
RO
D
UCT
I
O
N
C
lo
u
d
co
m
p
u
tin
g
(
C
C
)
is
wi
d
ely
im
p
lem
en
ted
in
m
a
n
y
o
r
g
an
izatio
n
s
to
s
to
r
e
an
d
p
r
o
ce
s
s
d
ata
ef
f
ec
tiv
ely
.
Or
g
an
izatio
n
s
p
r
e
f
er
C
C
d
u
e
to
its
ad
v
an
tag
es
o
f
f
lex
ib
ilit
y
,
s
ca
lab
ilit
y
,
an
d
r
e
liab
ilit
y
[
1
]
.
C
lo
u
d
s
er
v
er
s
ar
e
o
p
tim
al
o
p
tio
n
s
f
o
r
o
r
g
an
izatio
n
s
s
ee
k
in
g
f
aster
r
esp
o
n
s
e
tim
es
an
d
g
r
ea
ter
f
l
ex
ib
ilit
y
[
2
]
.
User
s
d
eleg
ate
d
ata
s
to
r
a
g
e
an
d
p
r
o
c
ess
in
g
to
th
e
clo
u
d
b
ec
au
s
e
o
f
its
f
lex
ib
ilit
y
an
d
s
ca
lab
ilit
y
,
wh
ile
clo
u
d
s
er
v
ice
p
r
o
v
id
e
r
s
(
C
SP
s
)
en
s
u
r
e
s
ec
u
r
ity
o
f
s
en
s
itiv
e
d
ata.
Ad
d
iti
o
n
ally
,
u
s
er
s
h
av
e
an
o
p
tio
n
to
en
cr
y
p
t
t
h
eir
d
ata
b
ef
o
r
e
u
p
lo
a
d
in
g
it
to
th
e
clo
u
d
[
3
]
,
[
4
]
.
C
C
o
f
f
er
s
v
ir
t
u
al
co
m
p
u
tin
g
s
er
v
ices
to
s
m
all,
m
ed
iu
m
,
a
n
d
la
r
g
e
in
d
u
s
tr
ies,
s
u
ch
as
p
latf
o
r
m
a
s
a
s
er
v
ice
(
PaaS)
,
in
f
r
astru
ct
u
r
e
as
a
s
er
v
ice
(
I
aa
S),
a
n
d
s
o
f
twar
e
as
a
s
er
v
ice
(
SaaS)
[
5
]
.
Qu
ality
o
f
s
er
v
ice
(
Qo
S),
co
s
t
-
ef
f
ec
tiv
en
ess
,
an
d
s
tab
ilit
y
h
av
e
m
ad
e
CC
a
b
etter
ch
o
ice
f
o
r
h
an
d
lin
g
co
m
p
u
tatio
n
ally
in
t
en
s
iv
e
task
s
[
6
]
,
[
7
]
.
Ho
we
v
er
,
s
ec
u
r
ity
r
em
ain
s
a
k
ey
i
s
s
u
e
in
C
C
,
an
d
a
r
ev
is
io
n
o
f
e
x
is
tin
g
ap
p
r
o
ac
h
e
s
is
ess
en
tia
l
f
o
r
ad
v
a
n
cin
g
c
u
r
r
en
t
tech
n
i
q
u
es
[
8
]
.
C
lo
u
d
d
a
ta
s
ec
u
r
ity
an
d
u
s
er
ac
ce
s
s
co
n
tr
o
ls
ar
e
cu
r
r
en
t
s
ec
u
r
ity
co
n
ce
r
n
s
[
9
]
.
A
tr
u
s
ted
t
h
ir
d
-
p
a
r
ty
au
d
ito
r
(
T
PA)
ca
n
v
er
if
y
clo
u
d
d
ata
to
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
9
3
8
I
n
t J Ar
tif
I
n
tell
,
Vo
l.
14
,
No
.
4
,
Au
g
u
s
t 2
0
2
5
:
2
6
6
7
-
2
6
7
5
2668
m
in
im
ize
th
e
u
s
er
’
s
b
u
r
d
e
n
,
a
p
r
o
ce
s
s
k
n
o
wn
as
p
u
b
lic
a
u
d
itin
g
[
1
0
]
.
I
n
h
ea
lth
ca
r
e
,
in
f
o
r
m
atio
n
is
ty
p
ically
tr
an
s
f
er
r
ed
to
d
o
cto
r
s
th
r
o
u
g
h
p
er
s
o
n
al
c
o
m
m
u
n
icatio
n
i
n
r
ec
en
t
m
eth
o
d
o
l
o
g
ies,
wh
i
ch
en
h
a
n
ce
s
h
ea
lth
o
u
tco
m
es
[
1
1
]
.
E
-
h
ea
lth
ca
r
e
a
llo
ws
f
o
r
th
e
r
ete
n
tio
n
o
f
m
e
d
ical
r
ec
o
r
d
s
,
w
h
ich
ca
n
b
e
a
cc
ess
ed
b
y
d
o
cto
r
s
with
th
e
p
atien
t'
s
p
er
m
is
s
io
n
d
u
r
in
g
v
is
its
[
1
2
]
.
T
h
is
s
er
v
ic
e
f
ac
ilit
ates
ef
f
icien
t
h
ea
lth
r
e
co
r
d
m
an
ag
em
en
t,
an
d
in
ter
n
et
o
f
th
in
g
s
(
I
o
T
)
s
y
s
tem
s
ar
e
u
s
ed
to
g
en
er
ate
r
ea
l
-
tim
e
d
ata
[
1
3
]
.
E
lectr
o
n
ic
h
ea
lth
r
ec
o
r
d
s
(
E
HR
)
,
lev
er
ag
e
clo
u
d
s
er
v
er
s
to
e
n
s
u
r
e
h
ig
h
er
-
q
u
ality
in
f
r
astru
ct
u
r
e
[
1
4
]
–
[
1
7
]
.
T
h
is
elec
tr
o
n
ic
s
to
r
ag
e
m
in
im
izes
th
e
n
ee
d
f
o
r
p
h
y
s
ical
r
ec
o
r
d
s
an
d
en
ab
les
u
n
if
ied
s
h
ar
in
g
with
co
m
p
an
ies,
th
ir
d
-
p
a
r
ty
a
d
m
in
is
tr
ato
r
s
,
an
d
m
ed
ical
p
r
o
f
ess
io
n
als
[
1
8
]
.
E
n
s
u
r
in
g
p
atien
t
p
r
iv
ac
y
is
cr
u
cial
in
ad
d
r
ess
in
g
th
e
s
ec
u
r
it
y
co
n
ce
r
n
s
o
f
E
HR
s
y
s
tem
s
[
1
9
]
.
C
SP
s
m
an
ag
e
an
d
m
ain
tain
clo
u
d
s
er
v
e
r
s
,
cr
ea
tin
g
a
r
eliab
le
en
v
ir
o
n
m
en
t
wh
er
e
s
ec
u
r
ity
is
a
to
p
p
r
io
r
ity
[
2
0
]
.
T
h
e
ex
is
tin
g
r
esear
ch
b
ased
o
n
s
ec
u
r
e
a
n
d
ef
f
icien
t
d
at
a
s
to
r
ag
e
in
C
C
is
an
aly
ze
d
with
its
d
r
awb
ac
k
s
in
th
is
s
ec
tio
n
.
R
a
h
m
an
et
a
l
.
[
2
1
]
s
u
g
g
ested
a
b
lo
ck
c
h
ain
-
b
ased
s
ec
u
r
e
a
r
c
h
itectu
r
e
f
o
r
C
C
in
I
o
T
.
T
h
e
s
u
g
g
ested
m
o
d
el
is
n
am
ed
as
d
is
tr
ib
u
ted
b
lo
c
k
ch
ain
-
s
o
f
twar
e
-
d
ef
in
e
d
clo
u
d
(
Dis
tB
-
SD
C
lo
u
d
)
wh
ich
en
h
a
n
ce
d
clo
u
d
s
ec
u
r
i
ty
f
o
r
I
o
T
a
p
p
licatio
n
s
.
I
t
u
ti
lized
d
is
tr
ib
u
ted
b
lo
c
k
ch
ain
t
o
p
r
o
v
id
e
s
ec
u
r
ity
,
p
r
iv
ac
y
,
an
d
in
teg
r
ity
wh
en
e
n
d
u
r
in
g
s
ca
lab
le
a
n
d
f
lex
ib
le
s
ec
u
r
ity
.
T
h
e
in
d
u
s
tr
ial
s
ec
to
r
cu
s
to
m
er
s
b
e
n
ef
it
f
r
o
m
a
d
ec
en
tr
alize
d
,
d
is
tr
ib
u
t
ed
an
d
e
f
f
ec
tiv
e
b
lo
ck
c
h
ain
e
n
v
ir
o
n
m
en
t.
Ho
wev
er
,
it
r
eq
u
ir
ed
h
u
g
e
o
v
e
r
h
ea
d
an
d
r
eso
u
r
ce
s
d
u
e
to
ad
d
itio
n
al
co
m
p
u
tatio
n
al
task
s
th
at
e
n
h
an
ce
e
x
ec
u
tio
n
tim
e.
R
am
ac
h
an
d
r
a
et
a
l
.
[
2
2
]
d
ev
elo
p
e
d
an
ef
f
ec
tiv
e
s
ec
u
r
e
d
ata
s
to
r
ag
e
u
s
in
g
tr
ip
le
d
ata
en
cr
y
p
tio
n
s
tan
d
ar
d
(
T
DE
S
)
in
CC
.
I
t
p
r
o
v
id
ed
a
s
im
p
le
tech
n
iq
u
e
th
r
o
u
g
h
en
h
an
cin
g
k
e
y
s
ize
in
d
ata
e
n
cr
y
p
tio
n
s
tan
d
ar
d
(
DE
S
)
to
s
ec
u
r
e
f
r
o
m
attac
k
s
an
d
p
r
o
tect
d
ata
p
r
iv
ac
y
.
T
h
e
m
an
ag
in
g
o
f
s
y
m
m
etr
ic
k
ey
an
d
p
ar
titi
o
n
ass
is
t
in
d
ata
s
tr
u
ctu
r
i
n
g
wh
ich
en
h
a
n
ce
d
n
etwo
r
k
ef
f
ec
tiv
e
n
ess
.
T
h
e
th
r
ee
k
ey
p
ad
d
i
n
g
an
d
s
u
b
k
ey
h
elp
ed
to
m
an
ag
e
th
e
d
ata
s
tr
u
ctu
r
e.
I
t
s
u
f
f
er
e
d
f
r
o
m
less
s
ca
lab
ilit
y
an
d
ad
ap
tab
ilit
y
b
ec
au
s
e
o
f
its
co
m
p
le
x
s
tr
u
ctu
r
e
th
at
af
f
ec
ts
th
e
o
v
er
all
p
er
f
o
r
m
an
ce
.
Ulla
h
e
t
a
l
.
[
2
3
]
p
r
es
en
te
d
a
n
I
o
T
C
h
a
in
m
o
d
el
f
o
r
s
ec
u
r
e
s
t
o
r
ag
e
a
n
d
t
r
u
s
te
d
d
at
a
s
h
a
r
i
n
g
in
C
C
.
T
h
e
I
o
T
C
h
ai
n
m
o
d
el
f
in
e
-
g
r
a
in
ed
p
er
m
is
s
i
o
n
m
ec
h
an
is
m
w
as
i
n
te
g
r
at
e
d
wi
th
a
tt
r
i
b
u
te
-
b
ase
d
a
cc
ess
c
o
n
tr
o
l
(A
-
B
AC
)
u
s
in
g
eth
er
eu
m
b
lo
ck
c
h
ain
.
T
h
e
ad
v
an
ce
d
e
n
cr
y
p
tio
n
s
tan
d
ar
d
(
A
E
S)
was
ap
p
lied
f
o
r
e
n
cr
y
p
tio
n
an
d
ellip
tic
c
u
r
v
e
d
if
f
ie
-
h
ellm
an
k
ey
e
x
ch
an
g
e
(
E
C
DHKE
)
p
r
o
to
co
l
was
ap
p
li
ed
f
o
r
s
ec
r
et
k
ey
s
h
ar
in
g
am
o
n
g
u
s
er
s
an
d
d
ata
o
wn
er
s
.
Ho
wev
er
,
it h
as lac
k
e
d
f
r
o
m
tim
e
co
m
p
lex
ity
wh
ich
lead
s
to
h
ig
h
e
r
ex
ec
u
tio
n
tim
e.
Kash
if
an
d
Kalk
an
[
2
4
]
im
p
lem
en
ted
a
d
if
f
er
en
tial
p
r
i
v
a
cy
p
r
eser
v
in
g
b
ased
f
r
am
ew
o
r
k
u
s
in
g
b
lo
ck
ch
ain
f
o
r
I
o
T
.
I
n
itially
,
th
e
d
ev
el
o
p
ed
m
o
d
el
class
if
ied
tr
an
s
ac
tio
n
as
p
r
i
v
ate
an
d
p
u
b
lic
s
tr
ea
m
lev
e
l
th
r
o
u
g
h
I
o
T
.
T
h
is
p
r
o
v
i
d
es
two
s
ep
ar
ate
d
atab
ase
in
b
lo
ck
ch
ain
n
o
d
e
an
d
v
alid
atio
n
lo
g
ic
was
m
o
d
if
ied
f
o
r
p
r
o
ce
s
s
in
g
p
r
iv
ate
an
d
p
u
b
lic
tr
an
s
ac
tio
n
s
.
T
h
e
d
ev
elo
p
ed
m
o
d
el
u
tili
ze
d
to
id
en
tify
p
r
i
v
ac
y
lev
el
s
u
ch
as
lo
w,
m
ed
iu
m
an
d
h
ig
h
th
r
o
u
g
h
d
ata
o
wn
e
r
th
er
e
b
y
d
ef
i
n
in
g
tr
a
d
e
-
o
f
f
am
o
n
g
p
r
iv
ac
y
an
d
u
tili
ty
.
T
h
is
p
r
o
v
id
es
p
r
i
v
ac
y
m
o
n
ito
r
ity
t
h
er
eb
y
en
s
u
r
in
g
is
lev
el
ar
e
m
ain
tain
ed
o
v
e
r
tim
e.
Ho
wev
er
,
th
e
m
o
d
el
was
af
f
ec
ted
t
h
r
o
u
g
h
en
cr
y
p
tio
n
ti
m
e
an
d
laten
c
y
b
ec
au
s
e
o
f
in
s
u
f
f
icien
t
c
o
m
p
u
tatio
n
al
o
p
tim
izatio
n
an
d
lack
o
f
s
ca
lab
ilit
y
to
p
r
o
ce
s
s
h
ig
h
v
o
lu
m
n
o
f
I
o
T
tr
an
s
atio
n
s
.
A
h
a
m
ad
et
a
l
.
[
2
5
]
in
tr
o
d
u
ce
d
a
h
y
b
r
id
ja
y
a
-
b
ased
s
h
ar
k
s
m
ell
o
p
tim
izatio
n
(J
-
SS
O)
f
o
r
m
u
lti
-
o
b
jectiv
e
p
r
iv
ac
y
p
r
eser
v
atio
n
in
clo
u
d
s
ec
u
r
it
y
.
T
h
e
o
p
tim
al
k
ey
g
en
er
atio
n
was
ac
co
m
p
lis
h
e
d
th
r
o
u
g
h
d
er
i
v
in
g
m
u
lti
-
o
b
j
ec
tiv
e
f
u
n
ctio
n
wh
ich
in
clu
d
es
p
ar
am
eter
s
lik
e
h
id
in
g
r
atio
,
in
f
o
r
m
atio
n
r
a
tio
p
r
eser
v
atio
n
a
n
d
d
eg
r
ee
o
f
m
o
d
if
icatio
n
.
T
h
e
J
-
SS
O
in
v
o
lv
e
b
etter
ef
f
ec
tiv
en
ess
in
r
eso
lv
in
g
r
ea
l
-
wo
r
ld
is
s
u
es
an
d
p
r
o
v
id
es a
n
ef
f
ec
tiv
e
ch
o
ice
o
f
p
ar
am
eter
s
th
er
eb
y
g
e
n
er
atin
g
o
p
tim
al
ex
p
l
o
r
at
io
n
ca
p
ab
ilit
y
at
in
itial
s
ea
r
ch
p
r
o
gr
ess
.
Ho
wev
er
,
wh
en
d
ea
lin
g
with
h
ig
h
d
ata
i
n
th
e
clo
u
d
,
th
e
m
o
d
el
en
h
an
ce
d
t
h
e
m
e
m
o
r
y
u
s
ag
e
d
u
r
i
n
g
th
e
e
n
cr
y
p
tio
n
an
d
d
ec
r
y
p
tio
n
p
r
o
ce
s
s
.
Fro
m
th
e
o
v
er
all
an
aly
s
is
,
th
e
ex
is
tin
g
m
eth
o
d
s
h
av
e
d
r
awb
ac
k
s
s
u
ch
as
r
eq
u
ir
in
g
h
u
g
e
o
v
er
h
ea
d
a
n
d
r
eso
u
r
ce
co
n
s
u
m
p
tio
n
d
u
e
to
ad
d
itio
n
al
co
m
p
u
tatio
n
al
task
s
th
at
en
h
an
ce
ex
ec
u
t
io
n
tim
e.
L
ac
k
o
f
co
o
r
d
in
atio
n
b
etwe
en
m
u
ltip
le
p
o
in
ts
im
p
ac
ts
th
e
en
cr
y
p
tio
n
p
r
o
ce
s
s
an
d
o
v
e
r
h
ea
d
.
I
t
lack
s
tim
e
co
m
p
lex
ity
w
h
ich
lead
s
to
h
ig
h
er
e
x
ec
u
tio
n
ti
m
e.
W
h
en
d
ea
lin
g
with
h
ig
h
d
ata
in
th
e
clo
u
d
,
th
e
m
o
d
el
e
n
h
an
ce
d
th
e
m
em
o
r
y
u
s
ag
e
d
u
r
in
g
th
e
e
n
cr
y
p
tio
n
an
d
d
ec
r
y
p
tio
n
p
r
o
ce
s
s
.
T
o
o
v
er
c
o
m
e
th
ese
d
r
awb
ac
k
s
,
th
is
r
esear
ch
p
r
o
p
o
s
es
an
im
p
r
o
v
e
d
b
lo
wf
is
h
alg
o
r
ith
m
a
n
d
m
o
d
u
lar
e
n
cr
y
p
tio
n
s
tan
d
ar
d
(
I
B
A
-
MES
)
f
o
r
en
cr
y
p
tio
n
an
d
d
e
cr
y
p
tio
n
p
r
o
ce
s
s
to
s
ec
u
r
e
d
at
a
s
to
r
ag
e
in
th
e
clo
u
d
.
T
h
e
co
n
tr
ib
u
tio
n
o
f
th
e
r
esear
c
h
is
as f
o
llo
ws:
−
T
h
e
im
p
r
o
v
e
d
b
lo
wf
is
h
alg
o
r
i
th
m
(
I
B
A
)
r
ap
id
ly
p
er
f
o
r
m
s
e
n
cr
y
p
tio
n
an
d
d
ec
r
y
p
tio
n
,
th
e
r
eb
y
r
ed
u
cin
g
laten
cy
.
Du
e
to
its
s
tr
o
n
g
en
cr
y
p
tio
n
,
it
o
f
f
er
s
im
p
r
o
v
e
d
p
r
o
tectio
n
ag
ain
s
t
attac
k
s
,
en
s
u
r
in
g
th
e
s
af
ety
o
f
s
en
s
itiv
e
I
o
T
d
ata
s
to
r
ed
in
th
e
clo
u
d
.
I
t
is
o
p
tim
ized
f
o
r
m
in
im
al
r
eso
u
r
ce
c
o
n
s
u
m
p
t
io
n
,
m
ak
i
n
g
it
id
ea
l f
o
r
I
o
T
d
e
v
ices,
an
d
h
as a
s
h
o
r
ter
ex
ec
u
tio
n
tim
e.
−
T
h
e
m
o
d
u
lar
e
n
cr
y
p
tio
n
s
tan
d
ar
d
(
MES
)
s
ca
lab
ilit
y
an
d
f
l
ex
ib
ilit
y
en
ab
le
th
e
ad
o
p
tio
n
o
f
v
ar
i
o
u
s
I
o
T
d
ev
ices
with
d
if
f
er
in
g
co
m
p
u
tatio
n
al
ca
p
ab
ilit
ies
in
clo
u
d
s
y
s
tem
s
.
I
ts
ef
f
ec
tiv
e
e
n
cr
y
p
tio
n
an
d
d
ec
r
y
p
tio
n
r
ed
u
ce
th
e
c
o
m
p
u
t
atio
n
al
o
v
er
h
ea
d
r
e
q
u
ir
ed
to
h
an
d
le
lar
g
e
v
o
lu
m
es o
f
d
ata.
T
h
e
r
esear
ch
p
ap
er
is
ar
r
a
n
g
ed
i
n
th
e
f
o
llo
win
g
m
an
n
er
.
Sectio
n
2
ex
p
lain
s
th
e
p
r
o
p
o
s
ed
m
eth
o
d
o
l
o
g
y
an
d
s
ec
tio
n
3
p
r
o
v
id
es
r
esu
lt
an
al
y
s
is
with
d
is
cu
s
s
io
n
.
T
h
e
c
o
n
clu
s
io
n
o
f
th
i
s
r
esear
ch
is
g
iv
e
n
in
s
ec
tio
n
4.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ar
tif
I
n
tell
I
SS
N:
2252
-
8
9
3
8
Op
timiz
ed
d
a
ta
s
ec
u
r
ity
a
n
d
s
to
r
a
g
e
u
s
in
g
imp
r
o
ve
d
b
lo
w
fis
h
…
(
S
a
r
ith
a
I
b
a
kk
a
n
a
v
a
r
Gu
d
d
a
p
p
a
)
2669
2.
P
RO
P
O
SE
D
M
E
T
H
O
D
Fig
u
r
e
1
illu
s
tr
ates
th
e
en
cr
y
p
tio
n
an
d
d
ec
r
y
p
tio
n
p
r
o
ce
s
s
u
s
in
g
th
e
p
r
o
p
o
s
ed
I
B
A
-
ME
S
f
o
r
s
ec
u
r
e
clo
u
d
s
to
r
ag
e.
I
n
itially
,
th
e
i
n
p
u
t
d
ata
is
en
cr
y
p
ted
u
s
in
g
I
B
A
-
ME
S
to
s
ec
u
r
e
d
ata
d
u
r
in
g
tr
an
s
m
is
s
io
n
.
T
h
e
en
cr
y
p
ted
d
ata
is
th
en
s
to
r
ed
in
th
e
clo
u
d
t
o
en
s
u
r
e
its
s
ec
u
r
ity
.
W
h
en
th
e
d
ata
is
r
etr
iev
ed
,
it is
d
ec
r
y
p
ted
u
s
in
g
I
B
A
-
ME
S to
r
ec
o
v
er
th
e
o
r
ig
in
al
in
f
o
r
m
atio
n
.
T
h
is
p
r
o
ce
s
s
en
s
u
r
es th
at
d
ata
r
em
ain
s
s
ec
u
r
e
th
r
o
u
g
h
o
u
t
its
s
to
r
ag
e
in
th
e
clo
u
d
.
On
ly
au
th
o
r
ized
u
s
er
s
ca
n
ac
ce
s
s
th
e
ac
tu
al
d
ata
v
ia
d
ec
r
y
p
tio
n
.
I
B
A
-
ME
S
p
r
o
v
id
es
b
o
th
en
c
r
y
p
tio
n
an
d
d
ec
r
y
p
tio
n
ef
f
icien
tly
,
t
h
er
eb
y
en
h
a
n
cin
g
th
e
s
ec
u
r
ity
o
f
clo
u
d
s
to
r
ag
e
.
Fig
u
r
e
1
.
B
lo
ck
d
iag
r
am
f
o
r
s
e
cu
r
e
d
ata
s
to
r
ag
e
2.
1
.
I
np
ut
da
t
a
I
n
th
is
r
esear
ch
,
th
e
h
ea
lth
ca
r
e
d
ataset
[
2
2
]
with
3
0
2
4
in
s
tan
ce
s
is
u
s
ed
as
in
p
u
t
wh
ich
co
n
tain
s
1
7
attr
ib
u
tes
s
u
ch
as
p
atie
n
t
n
am
e,
m
o
n
th
,
ag
e,
g
en
d
er
,
d
is
ea
s
e
,
h
is
to
r
y
,
s
y
m
p
t
o
m
s
,
an
d
m
e
d
ical
m
ea
s
u
r
em
en
ts
.
T
h
e
k
ey
attr
i
b
u
tes
in
clu
d
es
b
lo
o
d
p
r
ess
u
r
e,
elec
tr
o
ca
r
d
io
g
r
ap
h
ic
r
esu
lt,
b
o
d
y
m
ass
in
d
ex
,
s
er
u
m
ch
o
lest
er
o
l,
co
n
s
u
ltan
t n
am
e,
m
ax
im
u
m
h
ea
r
t
r
ate,
b
o
d
y
weig
h
t
,
a
n
d
h
ei
g
h
t.
Fro
m
th
e
p
atien
t
attr
ib
u
te,
th
e
ess
en
t
ial
d
etails ar
e
s
elec
te
d
an
d
ta
k
en
f
o
r
th
e
e
n
cr
y
p
tio
n
p
r
o
ce
s
s
.
2
.
2
.
I
m
pro
v
ed
blo
wf
is
h a
lg
o
rit
h
m
f
o
r
encr
y
ptio
n a
nd
de
cr
y
ptio
n
T
h
e
d
if
f
e
r
en
ce
f
r
o
m
ac
tu
al
al
g
o
r
ith
m
is
a
s
ize
o
f
in
p
u
t
b
l
o
c
k
.
Fro
m
p
r
ev
i
o
u
s
6
4
-
b
it
b
l
o
ck
,
th
e
in
p
u
t
s
ize
is
en
h
an
ce
d
to
1
2
8
-
b
it
wh
ich
is
s
ep
ar
ated
to
d
u
al
id
en
tical
6
4
-
b
it
b
lo
ck
s
o
n
th
e
l
ef
t
(
L
E
0
)
an
d
r
i
g
h
t
(
R
E
0
)
.
L
E
0
was
f
ir
s
t
XORed
with
P1
an
d
P1
1
f
r
o
m
a
P
-
ar
r
a
y
,
wh
er
e
ea
ch
co
n
tain
s
3
2
b
its
.
T
h
en
6
4
-
b
it
XOR
r
esu
lt
b
y
P1
an
d
P1
1
wh
ich
is
g
iv
en
to
F
-
f
u
n
ctio
n
.
T
h
en
,
F
-
f
u
n
ctio
n
r
esu
lt
is
XO
R
ed
b
y
th
e
R
E
0
in
p
u
t
b
lo
ck
.
Af
ter
eig
h
th
r
o
u
n
d
,
L
E
8
an
d
R
E
8
ar
e
s
wap
p
ed
with
R
E
8
wh
ich
is
XORed
with
P9
an
d
P1
9
.
Su
b
s
eq
u
en
tly
,
P1
0
is
XORed
with
P2
0
wh
ich
r
esu
lts
in
a
f
in
al
1
2
8
-
b
it c
ip
h
er
tex
t c
r
ea
ted
b
y
co
m
b
in
in
g
L
E
9
an
d
R
E
9
.
T
h
er
e
ar
e
two
m
o
d
if
i
ca
tio
n
s
wh
er
e
F
-
f
u
n
ctio
n
s
n
o
w
ac
ce
p
t
a
6
4
-
b
it
d
ata
s
tr
ea
m
as
in
p
u
t,
wh
ich
is
d
iv
id
ed
in
to
eig
h
t
8
-
b
it
b
lo
c
k
s
(
,
,
,
,
,
,
,
an
d
ℎ
)
with
th
e
f
ir
s
t
b
l
o
ck
co
n
t
ain
in
g
a
n
in
itial
8
b
its
.
T
h
e
is
th
e
n
ex
t
8
b
its
,
r
ep
ea
ted
ly
u
n
til
ℎ
.
E
ac
h
8
-
b
it
b
lo
c
k
is
p
r
o
ce
s
s
ed
th
r
o
u
g
h
an
S
-
b
o
x
a
n
d
co
n
v
er
ted
to
a
s
ec
o
n
d
3
2
-
b
it
S
-
b
o
x
v
al
u
e
d
u
r
in
g
th
e
p
r
e
v
io
u
s
ac
q
u
is
itio
n
.
As
ce
r
tain
v
ar
iab
les
ar
e
in
s
er
ted
in
to
th
e
S
-
b
o
x
,
th
ey
ar
e
m
o
v
e
d
to
th
e
lef
t
o
r
r
ig
h
t
wh
il
e
o
th
er
v
ar
iab
les
will
b
e
m
o
v
ed
af
ter
S
-
b
o
x
.
I
t
is
th
en
XORed
with
th
e
o
u
tp
u
t
o
f
,
an
d
af
ter
th
eir
v
alu
es
h
av
e
b
ee
n
p
r
o
ce
s
s
ed
b
y
S
-
b
o
x
1
.
T
h
is
r
etu
r
n
s
f
in
al
3
2
-
b
i
t
v
alu
e
f
o
r
t
h
e
S
-
b
o
x
.
Fo
llo
win
g
th
is
s
tep
s
f
o
r
S
-
b
o
x
2
with
,
,
an
d
ℎ
.
T
h
e
f
i
n
a
l
6
4
-
b
i
t
o
u
t
p
u
t
i
s
p
r
o
d
u
c
e
d
w
h
i
c
h
c
o
m
b
i
n
e
s
t
h
e
r
e
s
u
l
ts
o
f
S
-
b
o
x
1
a
n
d
S
-
b
o
x
2
.
T
h
e
c
o
n
s
t
r
u
c
t
i
o
n
o
f
t
h
is
m
o
d
i
f
i
e
d
F
-
f
u
n
c
t
i
o
n
is
d
e
t
a
il
e
d
in
(
1
)
a
n
d
(
2
)
.
(
0
)
=
(
(
1
(
)
+
1
(
)
≪
1
2
^
32
)
1
(
)
≫
1
)
+
1
(
≪
1
)
2
^
32
|
(
(
2
(
)
+
2
(
)
≪
1
2
^
32
)
2
(
)
≫
1
)
+
2
(
ℎ
≪
1
)
2
^
32
(
1
)
(
0
)
=
(
(
1
(
)
+
1
(
)
≪
1
2
^
32
)
1
(
)
≪
1
)
+
1
(
≫
1
)
2
^
32
|
(
(
2
(
)
+
2
(
)
≪
1
2
^
32
)
2
(
)
≪
1
)
+
2
(
ℎ
≫
1
)
2
^
32
(
2
)
W
ith
it
s
ef
f
ec
tiv
e
d
esig
n
,
it
ac
co
m
p
lis
h
es
en
cr
y
p
tio
n
an
d
d
ec
r
y
p
tio
n
r
ap
id
ly
th
er
e
b
y
r
ed
u
cin
g
laten
cy
.
B
ec
au
s
e
o
f
its
s
tr
o
n
g
en
cr
y
p
ti
o
n
,
it
p
r
o
v
id
es
im
p
r
o
v
ed
p
r
o
t
ec
tio
n
ag
ain
s
t
attac
k
s
th
er
eb
y
allo
win
g
th
e
s
af
ety
o
f
s
en
s
itiv
e
I
o
T
d
ata
s
to
r
e
d
in
clo
u
d
.
I
t
is
o
p
tim
ized
with
le
s
s
r
eso
u
r
ce
co
n
s
u
m
p
tio
n
m
ak
i
n
g
it
id
ea
l
f
o
r
I
o
T
d
ev
ices
wh
ich
h
as less
ex
ec
u
tio
n
tim
e.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
9
3
8
I
n
t J Ar
tif
I
n
tell
,
Vo
l.
14
,
No
.
4
,
Au
g
u
s
t 2
0
2
5
:
2
6
6
7
-
2
6
7
5
2670
2
.
2
.
1
.
K
ey
e
x
pa
ns
io
n
I
n
th
e
I
B
A,
th
e
k
ey
ex
p
an
s
io
n
p
r
o
ce
d
u
r
e
co
n
v
er
ts
a
1
2
8
-
b
i
t
k
ey
in
to
an
ar
r
ay
o
f
m
u
ltip
l
e
s
u
b
k
ey
s
.
T
h
e
tr
an
s
f
o
r
m
atio
n
r
ed
u
ce
s
t
o
tal
m
em
o
r
y
u
s
ag
e
f
r
o
m
4
1
6
8
to
2
1
2
8
b
y
tes.
T
h
is
P
-
ar
r
ay
(
1
,
2
,
.
.
.
20
)
wh
er
e
ea
ch
elem
en
t
is
a
3
2
-
b
it
s
u
b
k
e
y
,
also
u
s
es
two
S
-
b
o
x
es.
E
v
er
y
en
tr
y
h
as
2
5
6
-
e
n
tr
ies
(
1
[
0
.
.
.
255
]
,
2
[
0
.
.
.
255
]
)
o
f
3
2
-
b
it
v
alu
es.
I
n
I
B
A,
a
n
u
m
b
er
o
f
iter
atio
n
s
is
r
eq
u
ir
ed
to
p
r
o
d
u
ce
ea
c
h
ess
en
tial
s
u
b
k
ey
s
wh
ich
is
r
e
d
u
ce
d
f
r
o
m
5
2
1
to
2
6
6
.
I
t
d
e
n
o
tes
f
ewe
r
s
to
r
ag
e
c
o
n
s
tr
ain
ts
f
o
r
S
-
b
o
x
es
a
n
d
P
-
ar
r
ay
.
T
h
e
esti
m
atio
n
o
f
s
u
b
k
ey
s
is
d
o
n
e
u
s
in
g
d
u
al
S
-
b
o
x
es a
n
d
ch
an
g
es in
th
e
r
ec
eiv
i
n
g
p
r
o
ce
s
s
.
2
.
3
.
M
o
du
la
r
encr
y
ptio
n sta
nd
a
rd
T
h
e
ME
S
h
as
t
h
r
ee
c
r
u
ci
al
m
ea
s
u
r
es
I
d
e
n
tific
atio
n
,
class
if
icatio
n
an
d
s
ec
u
r
in
g
in
wh
ich
th
e
id
en
tific
atio
n
an
d
class
if
icatio
n
ar
e
p
er
f
o
r
m
ed
at
th
e
C
C
u
s
er
en
d
.
W
h
ile
s
ec
u
r
in
g
is
h
an
d
led
b
y
th
e
cr
y
p
to
-
cl
o
u
d
wh
ich
s
er
v
es
as
an
in
ter
m
ed
iate
f
o
r
cr
y
p
to
g
r
a
p
h
y
m
ea
s
u
r
es.
T
h
e
ME
S
s
ca
lab
ilit
y
an
d
f
lex
i
b
ilit
y
en
ab
le
to
ad
o
p
tio
n
o
f
v
ar
io
u
s
I
o
T
d
ev
ices
w
ith
d
if
f
er
i
n
g
co
m
p
u
tatio
n
al
ca
p
ab
ilit
ies
in
clo
u
d
s
y
s
tem
s
.
I
ts
ef
f
ec
tiv
en
ess
in
en
cr
y
p
tio
n
an
d
d
ec
r
y
p
tio
n
r
ed
u
ce
s
th
e
c
o
m
p
u
tatio
n
al
o
v
er
h
ea
d
th
at
is
r
eq
u
ir
ed
to
h
a
n
d
le
h
ig
h
d
ata
v
o
lu
m
es.
I
t
r
ed
u
ce
s
th
e
laten
cy
t
h
r
o
u
g
h
en
cr
y
p
tio
n
o
p
e
r
atio
n
s
wh
ich
e
n
s
u
r
es
q
u
ick
d
ata
tr
an
s
ac
tio
n
s
am
o
n
g
cl
o
u
d
s
er
v
er
s
an
d
I
o
T
d
ev
ices.
2
.
3
.
1
.
I
dentif
ica
t
io
n a
nd
cla
s
s
if
ica
t
io
n
T
h
e
co
n
s
tr
ain
t
f
o
r
s
ec
u
r
in
g
c
lo
u
d
d
ata
is
f
o
cu
s
ed
o
n
th
e
i
d
en
tific
atio
n
an
d
class
if
icatio
n
o
f
d
ata
b
ased
o
n
its
co
n
f
id
e
n
tiality
lev
el.
T
h
e
id
en
tific
atio
n
aim
s
to
d
if
f
e
r
en
tiate
th
e
im
p
o
r
ta
n
ce
an
d
s
en
s
itiv
ity
o
f
clo
u
d
d
ata.
Gen
er
ally
,
it
h
as
d
u
al
co
m
m
o
n
class
if
icatio
n
s
b
y
f
o
llo
win
g
s
u
b
-
class
if
icatio
n
s
s
u
ch
as
co
n
f
id
en
tial
(
with
h
ig
h
er
s
ec
u
r
ity
)
a
n
d
p
u
b
lic
(
wh
ich
d
o
es
n
o
t
n
ec
ess
itate
s
ec
u
r
ity
)
h
ea
l
th
ca
r
e
in
f
o
r
m
atio
n
.
I
n
h
ea
lth
ca
r
e
in
f
o
r
m
atio
n
,
cla
s
s
if
icatio
n
s
elec
ts
th
e
d
eg
r
ee
o
f
co
n
f
id
en
tiality
ac
co
r
d
i
n
g
t
o
th
e
r
ec
o
r
d
n
at
u
r
e
.
I
t
is
h
elp
f
u
l
to
p
r
io
r
itize
h
ea
lth
ca
r
e
in
f
o
r
m
atio
n
th
at
n
ee
d
s
to
b
e
s
ec
u
r
e
d
an
d
it
s
u
b
s
eq
u
en
tly
r
ed
u
ce
s
s
ec
u
r
it
y
ex
p
en
s
es.
T
h
ese
d
u
al
class
if
icatio
n
s
ar
e
class
if
ied
in
to
f
i
v
e
in
d
iv
id
u
al
s
u
b
-
class
if
icatio
n
s
ac
co
r
d
i
n
g
to
a
d
eg
r
ee
o
f
co
n
f
id
en
tiality
.
T
h
e
s
ec
u
r
in
g
m
ea
s
u
r
e
c
o
n
tain
s
f
iv
e
ex
clu
s
iv
e
u
n
iq
u
e
k
ey
ty
p
es
f
o
r
th
e
f
iv
e
in
d
iv
id
u
al
s
u
b
-
class
if
icatio
n
s
.
2
.
3
.
2
.
Securing
a
nd
m
o
du
la
r
inte
ra
ct
io
n
T
h
e
s
ec
u
r
in
g
in
clu
d
es
r
em
ain
i
n
g
cr
y
p
to
g
r
ap
h
ic
s
tep
s
wh
ich
ar
e
p
er
f
o
r
m
e
d
in
cr
y
p
to
-
clo
u
d
.
T
h
is
s
tep
in
clu
d
es
9
r
o
u
n
d
s
th
r
o
u
g
h
1
0
k
ey
s
in
wh
ich
th
e
k
ey
-
0
is
u
s
ed
f
o
r
k
ey
wh
iten
in
g
an
d
th
e
r
e
m
ain
in
g
9
k
ey
s
ar
e
u
s
ed
f
o
r
9
r
o
u
n
d
s
.
T
h
r
ee
m
o
d
u
les
f
r
o
m
th
e
u
s
er
en
d
g
en
er
a
te
th
e
co
n
s
tr
u
ctio
n
o
f
p
atien
ts
to
s
m
ar
t
d
ev
ices.
T
h
en
,
s
m
ar
t
d
e
v
ice
c
o
n
n
ec
tio
n
in
to
th
e
cr
y
p
to
clo
u
d
is
p
e
r
f
o
r
m
ed
b
y
ap
p
ly
in
g
s
ec
u
r
e
m
e
asu
r
es
in
th
e
s
ec
o
n
d
lay
er
th
at
h
as
8
s
u
b
-
m
ea
s
u
r
e
s
.
Fin
ally
,
cr
y
p
to
-
cl
o
u
d
i
n
to
m
u
lti
-
clo
u
d
c
o
n
n
ec
tio
n
is
p
e
r
f
o
r
m
e
d
in
wh
ich
en
cr
y
p
ted
cip
h
er
tex
t i
s
tr
an
s
f
o
r
m
ed
in
t
o
m
u
lti
-
clo
u
d
.
2
.
3
.
3
.
M
a
t
hem
a
t
ica
l
mo
del
T
h
e
m
ath
em
atica
l
m
o
d
el
d
ef
in
ess
th
e
en
cr
y
p
tio
n
an
d
d
ec
r
y
p
tio
n
p
r
o
ce
s
s
o
f
p
r
p
o
s
ed
I
B
A
-
ME
S
wh
ich
en
s
u
r
es
s
ec
u
r
e
d
ata
s
t
o
r
ag
e
in
clo
u
d
-
b
ased
I
o
T
en
v
ir
o
n
m
e
n
ts
.
I
t
u
s
es
a
b
lo
ck
cip
h
er
ap
p
r
o
ac
h
t
o
ch
an
g
e
p
lain
tex
t
to
cip
h
er
tex
t w
h
en
m
ain
tain
in
g
d
ata
in
teg
r
i
ty
.
T
h
e
b
lo
ck
cip
h
er
ap
p
r
o
ac
h
in
an
in
s
tan
ce
o
f
b
it
b
lo
ck
an
d
b
it
k
ey
is
s
p
ec
if
ied
in
(
3
)
an
d
(
4
)
wh
ic
h
in
v
o
lv
ed
th
e
en
cr
y
p
tio
n
a
n
d
d
ec
r
y
p
tio
n
p
r
o
ce
s
s
es.
W
h
er
e,
is
a
k
ey
,
an
d
ar
e
p
lain
an
d
cip
h
er
tex
t
wh
ich
s
h
o
ws
en
cr
y
p
tio
n
s
tan
d
ar
d
s
o
n
u
s
in
g
th
e
p
r
iv
ate
k
ey
.
(
,
)
⟶
(
3
)
=
(
,
)
(
4
)
i)
E
n
cr
y
p
tio
n
at
th
e
p
atien
t
s
id
e
:
th
e
ex
ten
s
io
n
f
r
o
m
5
6
to
6
4
b
its
is
d
ef
in
ed
in
(
5
)
a
n
d
(
6
)
.
T
h
e
o
u
t
p
u
t
d
ata
is
co
n
s
id
er
ed
as
lig
h
tly
e
n
cr
y
p
ted
(
)
.
W
h
er
e,
an
d
ar
e
e
x
ten
s
io
n
a
n
d
ex
p
a
n
s
io
n
,
0
is
a
k
ey
u
tili
ze
d
f
o
r
k
ey
w
h
iten
in
g
.
T
o
ac
c
o
m
p
lis
h
k
ey
w
h
iten
in
g
,
L
E
PT
is
p
r
o
lo
n
g
e
d
p
r
o
v
is
io
n
ally
f
r
o
m
6
4
to
1
2
8
b
its
.
T
h
e
0
is
an
in
d
iv
id
u
al
k
ey
w
h
ich
tr
an
s
f
o
r
m
s
in
s
in
g
le
tim
e.
=
(
)
(
5
)
=
⊕
̅
̅
̅
0
(
6
)
T
h
er
ef
o
r
e,
th
e
r
em
ain
i
n
g
k
e
y
s
s
u
ch
as
k
ey
-
1
to
k
ey
-
9
tr
an
s
f
o
r
m
s
twice
th
e
.
T
o
r
em
o
v
e
th
e
p
r
o
v
is
io
n
al
co
n
tr
ac
tio
n
,
is
u
s
ed
to
m
in
im
ize
th
e
to
6
4
b
it
th
at
is
s
p
ec
if
ied
in
(
7
)
.
T
h
e
p
er
m
u
tatio
n
o
f
ev
er
y
th
r
o
u
n
d
is
ac
co
m
p
lis
h
ed
as
s
p
ec
if
ied
in
(
8
)
.
Af
ter
ac
co
m
p
lis
h
in
g
t
h
e
s
u
b
s
titu
tio
n
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ar
tif
I
n
tell
I
SS
N:
2252
-
8
9
3
8
Op
timiz
ed
d
a
ta
s
ec
u
r
ity
a
n
d
s
to
r
a
g
e
u
s
in
g
imp
r
o
ve
d
b
lo
w
fis
h
…
(
S
a
r
ith
a
I
b
a
kk
a
n
a
v
a
r
Gu
d
d
a
p
p
a
)
2671
f
o
r
th
r
o
u
n
d
,
th
e
lef
t
h
alf
k
e
y
is
in
clu
d
ed
f
o
r
k
ey
ad
d
itio
n
wh
ile
k
ey
s
u
b
tr
ac
tio
n
is
p
er
f
o
r
m
ed
th
r
o
u
g
h
th
e
r
ig
h
t
h
alf
k
ey
as
(
9
)
.
W
h
er
e,
is
a
d
is
ca
r
d
ex
p
a
n
s
io
n
.
is
a
s
u
b
s
titu
tio
n
o
f
th
r
o
u
n
d
,
an
d
ar
e
lef
t a
n
d
r
ig
h
t h
alf
k
ey
o
f
th
r
o
u
n
d
.
(
(
)
)
⊕
̅
̅
̅
0
(
7
)
(
⊕
̅
̅
̅
0
)
(
8
)
(
(
(
⊕
̅
̅
̅
0
)
)
⊕
̅
̅
̅
)
⊕
̅
̅
̅
(
9
)
ii)
Dec
r
y
p
tio
n
o
n
p
h
y
s
ician
s
id
e:
d
ec
r
y
p
tio
n
is
p
er
f
o
r
m
e
d
wh
e
n
th
e
C
C
u
s
er
,
d
o
cto
r
an
d
p
at
ien
t
attem
p
t
to
ac
ce
s
s
h
ea
lth
ca
r
e
in
f
o
r
m
atio
n
f
r
o
m
t
h
e
clo
u
d
.
Du
r
in
g
th
is
s
id
e,
th
e
is
s
u
b
tr
ac
ted
to
s
to
p
th
e
k
e
y
s
u
b
tr
ac
tio
n
ef
f
ec
t
th
at
is
d
o
n
e
at
en
cr
y
p
tio
n
s
id
e
as
(
1
0
)
.
T
h
en
,
is
ap
p
lied
to
p
er
f
o
r
m
k
e
y
ad
d
itio
n
to
r
em
o
v
e
k
ey
a
d
d
itio
n
ef
f
ec
t
at
en
cr
y
p
tio
n
e
n
d
as
(
1
1
)
.
T
h
e
in
v
er
s
e
s
u
b
tr
ac
tio
n
is
p
er
f
o
r
m
ed
in
ev
e
r
y
r
th
r
o
u
n
d
to
elim
in
ate
th
e
s
u
b
s
titu
tio
n
ef
f
ec
t
o
n
e
n
cr
y
p
tio
n
s
i
d
e
as
d
e
f
in
ed
in
(
1
2
)
.
Similar
ly
,
th
e
in
v
e
r
s
e
p
er
m
u
tatio
n
is
ap
p
lied
in
r
th
r
o
u
n
d
to
r
e
m
o
v
e
p
r
e
m
atu
r
e
ef
f
ec
t
at
en
cr
y
p
tio
n
s
id
e
as
(
1
3
)
.
T
h
e
k
ey
wh
iten
in
g
o
n
t
h
e
d
ec
r
y
p
tio
n
en
d
wh
ic
h
r
e
m
o
v
e
k
ey
wh
ite
n
in
g
e
f
f
ec
t
o
n
en
cr
y
p
tio
n
en
d
as
(
1
4
)
.
Af
ter
ac
co
m
p
lis
h
in
g
r
e
d
u
ctio
n
a
t d
e
cr
y
p
tio
n
e
n
d
,
L
E
PT
is
tr
an
s
f
o
r
m
ed
in
to
n
o
r
m
al
PT
as (
1
5
)
.
(
(
(
⊕
̅
̅
̅
0
)
)
⊕
̅
̅
̅
)
⊕
̅
̅
̅
⊕
̅
̅
̅
(
1
0
)
⊕
̅
̅
̅
⊕
̅
̅
̅
(
(
⊕
̅
̅
̅
0
)
)
⊕
̅
̅
̅
⊕
̅
̅
̅
(
1
1
)
′
(
(
(
⊕
̅
̅
̅
0
)
)
)
(
1
2
)
′
(
(
⊕
̅
̅
̅
0
)
)
(
1
3
)
0
⊕
̅
̅
̅
0
(
1
4
)
=
(
)
(
1
5
)
W
h
er
e
is
a
co
n
tr
ac
tio
n
.
T
h
e
r
e
f
o
r
e,
th
e
r
esu
lt
o
f
p
lain
tex
t
is
attain
ed
at
th
e
d
ec
r
y
p
tio
n
s
id
e
.
T
h
e
I
B
A
-
ME
S
en
s
u
r
es
r
o
b
u
s
t
d
ata
p
r
o
tectio
n
b
y
c
o
m
b
in
in
g
b
l
o
wf
is
h
’
s
s
tr
en
g
th
s
p
ee
d
an
d
m
o
d
u
lar
e
n
cr
y
p
tio
n
a
d
ap
tab
ilit
y
.
T
h
is
d
u
al
a
p
p
r
o
ac
h
i
m
p
r
o
v
es
th
e
s
ec
u
r
ity
an
d
o
v
er
all
p
er
f
o
r
m
an
ce
o
f
b
o
t
h
d
ata
en
cr
y
p
t
io
n
an
d
d
ec
r
y
p
tio
n
p
r
o
ce
s
s
es in
th
e
clo
u
d
en
v
ir
o
n
m
en
t.
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
T
h
e
I
B
A
-
ME
S
is
s
im
u
lated
b
y
Py
th
o
n
with
s
y
s
tem
d
esig
n
o
f
8
GB
R
AM
,
win
d
o
ws
1
0
OS
an
d
i5
p
r
o
ce
s
s
o
r
.
T
h
e
m
etr
ics s
u
ch
as e
x
ec
u
tio
n
tim
e,
C
PU u
s
ag
e,
en
cr
y
p
tio
n
tim
e,
d
ec
r
y
p
tio
n
t
im
e,
r
u
n
n
i
n
g
tim
e
,
an
d
laten
cy
ar
e
ca
lcu
late
d
f
o
r
th
e
p
r
o
p
o
s
ed
I
B
A
-
ME
S
as
d
is
cu
s
s
ed
in
th
is
s
ec
tio
n
.
Ad
d
itio
n
ally
,
th
e
co
m
p
ar
is
o
n
o
f
p
r
o
p
o
s
ed
I
B
A
-
ME
S f
o
r
all
p
er
f
o
r
m
a
n
ce
m
etr
ics is
d
escr
ib
ed
in
th
is
s
ec
tio
n
.
I
n
Fig
u
r
e
2
,
th
e
e
x
ec
u
tio
n
tim
e
o
f
th
e
p
r
o
p
o
s
ed
I
B
A
-
ME
S
is
g
iv
en
f
o
r
v
ar
i
o
u
s
d
ata
s
izes
o
f
1
0
0
-
500
with
ex
is
tin
g
m
eth
o
d
s
.
T
h
e
A
E
S,
I
B
A
,
an
d
ME
S
ar
e
co
n
s
id
er
ed
ex
is
tin
g
m
eth
o
d
s
to
c
o
m
p
ar
e
th
e
ef
f
icien
cy
o
f
th
e
p
r
o
p
o
s
ed
I
B
A
-
ME
S.
T
h
e
I
B
A
-
ME
S
ac
h
iev
es
1
5
,
2
0
,
2
5
,
3
5
,
an
d
4
5
m
in
u
tes
f
o
r
d
ata
s
ize
o
f
1
0
0
-
5
0
0
r
esp
ec
tiv
ely
.
I
n
Fig
u
r
e
3
,
th
e
C
PU
u
s
ag
e
o
f
th
e
p
r
o
p
o
s
ed
I
B
A
-
ME
S
is
p
r
esen
ted
f
o
r
v
ar
io
u
s
d
ata
s
izes
r
an
g
in
g
f
r
o
m
1
0
0
-
5
0
0
with
ex
is
tin
g
m
et
h
o
d
s
.
T
h
e
AE
S,
I
B
A
an
d
ME
S
ar
e
co
n
s
id
er
ed
as
ex
is
tin
g
m
eth
o
d
s
to
ev
alu
ate
th
e
ef
f
icien
c
y
o
f
th
e
p
r
o
p
o
s
ed
I
B
A
-
ME
S.
T
h
e
I
B
A
-
ME
S
ac
h
iev
es
2
0
,
2
0
,
2
3
,
2
5
,
an
d
2
9
%
f
o
r
d
at
a
s
ize
o
f
1
0
0
-
5
0
0
r
esp
ec
tiv
ely
.
I
n
Fig
u
r
e
4
,
th
e
en
cr
y
p
tio
n
ti
m
e
o
f
th
e
p
r
o
p
o
s
ed
I
B
A
-
ME
S
i
s
g
iv
en
f
o
r
v
ar
i
o
u
s
n
o
.
o
f
b
lo
ck
s
o
f
1
0
0
,
3
0
0
,
5
0
0
,
7
0
0
,
an
d
9
0
0
with
e
x
is
tin
g
m
eth
o
d
s
.
T
h
e
AE
S,
I
B
A
,
an
d
ME
S
a
r
e
co
n
s
id
er
ed
as
ex
is
tin
g
m
eth
o
d
to
ev
alu
ate
th
e
ef
f
icie
n
cy
o
f
p
r
o
p
o
s
ed
I
B
A
-
ME
S.
T
h
e
I
B
A
-
M
E
S
ac
h
iev
es
1
8
5
,
2
1
0
,
2
4
5
,
2
7
0
,
an
d
2
8
5
m
s
f
o
r
1
0
0
,
3
0
0
,
5
0
0
,
7
0
0
,
an
d
9
0
0
b
lo
ck
s
r
esp
ec
tiv
ely
.
I
n
Fig
u
r
e
5
,
th
e
d
ec
r
y
p
tio
n
tim
e
o
f
th
e
p
r
o
p
o
s
ed
I
B
A
-
ME
S
is
g
iv
en
f
o
r
1
0
0
,
3
0
0
,
5
0
0
,
7
0
0
,
a
n
d
9
0
0
b
lo
c
k
s
with
e
x
is
tin
g
m
eth
o
d
s
.
T
h
e
AE
S,
I
B
A
,
an
d
ME
S
ar
e
co
n
s
id
er
ed
as
ex
is
tin
g
m
eth
o
d
s
to
ev
alu
ate
th
e
ef
f
icien
cy
o
f
th
e
p
r
o
p
o
s
ed
I
B
A
-
ME
S.
T
h
e
I
B
A
-
ME
S
ac
h
iev
e
s
3
9
5
,
3
8
0
,
3
9
0
,
4
1
5
,
a
n
d
4
3
0
m
s
f
o
r
1
0
0
,
3
0
0
,
5
0
0
,
7
0
0
,
an
d
9
0
0
b
lo
c
k
s
r
esp
ec
tiv
ely
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
9
3
8
I
n
t J Ar
tif
I
n
tell
,
Vo
l.
14
,
No
.
4
,
Au
g
u
s
t 2
0
2
5
:
2
6
6
7
-
2
6
7
5
2672
Fig
u
r
e
2
.
E
x
ec
u
tio
n
tim
e
(
m
in
)
o
f
I
B
A
-
MES
Fig
u
r
e
3
.
C
PU u
s
ag
e
(
%)
o
f
I
B
A
-
MES
Fig
u
r
e
4
.
E
n
cr
y
p
tio
n
tim
e
(
m
s
)
o
f
I
B
A
-
MES
Fig
u
r
e
5
.
Dec
r
y
p
tio
n
tim
e
(
m
s
)
o
f
I
B
A
-
MES
I
n
Fig
u
r
e
6
,
th
e
r
u
n
n
in
g
tim
e
o
f
th
e
p
r
o
p
o
s
ed
I
B
A
-
ME
S
is
g
iv
en
f
o
r
n
o
.
o
f
b
lo
c
k
s
o
f
1
0
0
,
3
0
0
,
5
0
0
,
700
,
a
n
d
9
0
0
with
e
x
is
tin
g
m
e
th
o
d
s
.
T
h
e
AE
S,
I
B
A
,
an
d
M
E
S
ar
e
co
n
s
id
er
ed
as
ex
is
tin
g
m
eth
o
d
s
to
ev
alu
ate
th
e
ef
f
icien
cy
o
f
th
e
p
r
o
p
o
s
ed
I
B
A
-
ME
S.
T
h
e
I
B
A
-
ME
S
ac
h
iev
es
5
9
5
,
5
7
0
,
6
1
5
,
6
4
0
,
an
d
6
8
5
m
s
f
o
r
1
0
0
,
3
0
0
,
5
0
0
,
7
0
0
,
an
d
9
0
0
b
lo
ck
s
r
esp
ec
tiv
ely
.
I
n
Fig
u
r
e
7
,
th
e
laten
cy
o
f
th
e
p
r
o
p
o
s
ed
I
B
A
-
ME
S
is
g
iv
en
f
o
r
v
ar
io
u
s
n
u
m
b
er
o
f
b
l
o
ck
s
o
f
1
0
0
,
3
0
0
,
5
0
0
,
7
0
0
,
an
d
9
0
0
with
ex
is
tin
g
m
eth
o
d
s
.
T
h
e
AE
S,
I
B
A
,
an
d
ME
S a
r
e
co
n
s
id
er
ed
as
ex
is
tin
g
m
eth
o
d
s
to
co
m
p
ar
e
th
e
ef
f
icien
cy
o
f
th
e
p
r
o
p
o
s
ed
I
B
A
-
ME
S.
T
h
e
I
B
A
-
ME
S
ac
h
iev
es
1
0
,
3
5
,
5
0
,
6
5
,
a
n
d
8
0
m
s
f
o
r
1
0
0
,
3
0
0
,
5
0
0
,
7
0
0
,
an
d
9
0
0
b
lo
ck
s
r
esp
ec
tiv
ely
.
I
t
r
e
d
u
ce
s
t
h
e
laten
cy
th
r
o
u
g
h
en
cr
y
p
tio
n
o
p
e
r
atio
n
s
wh
ich
e
n
s
u
r
es q
u
ick
d
ata
tr
an
s
ac
tio
n
s
am
o
n
g
cl
o
u
d
s
er
v
er
s
an
d
I
o
T
d
ev
ices.
Fig
u
r
e
6
.
R
u
n
n
in
g
tim
e
(
m
s
)
o
f
I
B
A
-
MES
Fig
u
r
e
7
.
L
ate
n
cy
(
m
s
)
o
f
I
B
A
-
MES
3.
1
.
Co
m
pa
ra
t
iv
e
a
na
ly
s
is
T
h
e
co
m
p
ar
is
o
n
o
f
p
r
o
p
o
s
ed
I
B
A
-
ME
S
f
o
r
ex
ec
u
tio
n
tim
e
an
d
C
PU
u
s
ag
e
is
d
e
s
cr
ib
ed
in
T
ab
le
1
.
T
h
e
en
cr
y
p
tio
n
,
d
ec
r
y
p
tio
n
,
r
u
n
n
in
g
,
an
d
laten
c
y
ar
e
d
esc
r
ib
ed
in
T
ab
le
2
.
T
h
e
e
x
is
tin
g
m
eth
o
d
s
u
c
h
as
T
DE
S
[
2
2
]
is
co
m
p
a
r
ed
to
s
h
o
w
th
e
p
r
o
p
o
s
ed
I
B
A
-
ME
S'
s
ef
f
icien
cy
.
T
h
e
I
B
A
-
ME
S
ac
h
iev
es
less
ex
ec
u
tio
n
tim
e
o
f
1
5
,
2
0
,
2
5
,
3
5
,
an
d
4
5
m
in
u
tes
f
o
r
d
ata
s
izes
o
f
1
0
0
-
5
0
0
r
esp
ec
tiv
ely
.
T
h
e
I
BA
-
ME
S
ac
h
iev
es
less
C
PU
u
s
ag
e
b
y
2
0
,
2
0
,
2
3
,
2
5
,
an
d
2
9
%
f
o
r
d
ata
s
ize
o
f
1
0
0
-
5
0
0
r
esp
ec
tiv
ely
.
T
h
e
I
B
A
-
ME
S
ac
h
iev
es
less
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ar
tif
I
n
tell
I
SS
N:
2252
-
8
9
3
8
Op
timiz
ed
d
a
ta
s
ec
u
r
ity
a
n
d
s
to
r
a
g
e
u
s
in
g
imp
r
o
ve
d
b
lo
w
fis
h
…
(
S
a
r
ith
a
I
b
a
kk
a
n
a
v
a
r
Gu
d
d
a
p
p
a
)
2673
en
cr
y
p
tio
n
tim
e
o
f
1
8
5
,
2
1
0
,
2
4
5
,
a
n
d
2
7
0
m
s
f
o
r
n
u
m
b
er
o
f
b
lo
ck
s
o
f
1
0
0
,
3
0
0
,
5
0
0
,
a
n
d
7
0
0
r
esp
ec
tiv
ely
.
T
h
e
I
B
A
-
ME
S
ac
h
iev
es
less
d
ec
r
y
p
tio
n
tim
e
o
f
3
9
5
,
3
8
0
,
3
9
0
,
an
d
4
1
5
m
s
f
o
r
1
0
0
,
3
0
0
,
5
0
0
,
a
n
d
7
0
0
b
lo
ck
s
r
esp
ec
tiv
ely
.
T
h
e
I
B
A
-
ME
S
a
ch
iev
es
less
r
u
n
n
in
g
tim
e
o
f
5
9
5
,
5
7
0
,
6
1
5
,
a
n
d
6
4
0
m
s
f
o
r
1
0
0
,
3
0
0
,
5
0
0
,
an
d
7
0
0
b
lo
ck
s
r
esp
ec
tiv
ely
.
T
h
e
I
B
A
-
ME
S
ac
h
iev
es
a
lo
wer
laten
cy
o
f
1
0
,
3
5
,
5
0
,
an
d
6
5
m
s
f
o
r
1
0
0
,
3
0
0
,
5
0
0
,
an
d
7
0
0
b
lo
ck
s
,
r
esp
ec
tiv
ely
.
T
ab
le
1
.
E
x
ec
u
tio
n
tim
e
a
n
d
C
PU u
s
ag
e
o
f
p
r
o
p
o
s
ed
I
B
A
-
MES
M
e
t
r
i
c
s
M
e
t
h
o
d
s
D
a
t
a
si
z
e
1
0
0
2
0
0
3
0
0
4
0
0
5
0
0
Ex
e
c
u
t
i
o
n
t
i
m
e
(
mi
n
)
TD
ES
[
2
2
]
20
25
30
40
55
I
B
A
-
M
ES
15
20
25
35
45
C
P
U
u
s
a
g
e
(
%)
TD
ES
[
2
2
]
24
24
28
30
33
I
B
A
-
M
ES
20
20
23
25
29
T
ab
le
2
.
E
n
cr
y
p
tio
n
,
d
ec
r
y
p
tio
n
,
r
u
n
n
in
g
tim
e
,
an
d
laten
cy
o
f
p
r
o
p
o
s
ed
I
B
A
-
MES
M
e
t
r
i
c
s
M
e
t
h
o
d
N
u
mb
e
r
o
f
b
l
o
c
k
s
1
0
0
3
0
0
5
0
0
7
0
0
En
c
r
y
p
t
i
o
n
t
i
m
e
(
ms)
TD
ES
[
2
2
]
2
0
4
2
6
6
3
2
7
3
3
4
I
B
A
-
M
ES
1
8
5
2
1
0
2
4
5
2
7
0
D
e
c
r
y
p
t
i
o
n
t
i
m
e
(
ms)
TD
ES
[
2
2
]
4
2
8
4
1
5
4
2
5
5
2
2
I
B
A
-
M
ES
3
9
5
3
8
0
3
9
0
4
1
5
R
u
n
n
i
n
g
t
i
me
(
ms)
TD
ES
[
2
2
]
8
3
3
8
1
6
8
8
7
9
4
6
I
B
A
-
M
ES
5
9
5
5
7
0
6
1
5
6
4
0
La
t
e
n
c
y
(
ms)
TD
ES
[
2
2
]
14
56
61
72
I
B
A
-
M
ES
10
35
50
65
3
.
2
.
Dis
cus
s
io
n
T
h
e
r
esu
lts
ar
e
co
m
p
ar
ed
with
ex
is
tin
g
r
esear
ch
an
d
s
tate
-
of
-
th
e
-
a
r
t
m
eth
o
d
s
,
wh
e
r
e
th
e
p
r
o
p
o
s
e
d
I
B
A
-
ME
S
d
em
o
n
s
tr
ates
b
etter
p
er
f
o
r
m
an
c
e.
Me
tr
ics
s
u
ch
as
ex
ec
u
tio
n
tim
e,
C
PU
u
s
ag
e,
en
cr
y
p
tio
n
tim
e,
d
ec
r
y
p
tio
n
tim
e,
r
u
n
n
in
g
tim
e
,
an
d
laten
cy
a
r
e
ca
lcu
lated
i
n
th
e
r
esu
lts
s
ec
tio
n
f
o
r
th
e
p
r
o
p
o
s
ed
I
B
A
-
ME
S.
E
x
is
tin
g
m
eth
o
d
s
,
s
u
ch
as
T
DE
S
[
2
2
]
,
s
u
f
f
e
r
f
r
o
m
lo
wer
s
ca
lab
ilit
y
an
d
ad
ap
tab
ilit
y
d
u
e
to
th
eir
co
m
p
le
x
s
tr
u
ctu
r
e,
wh
ich
n
e
g
ativ
ely
i
m
p
ac
ts
o
v
er
all
p
er
f
o
r
m
an
ce
.
I
n
co
n
tr
ast,
th
e
I
B
A'
s
b
lo
ck
cip
h
e
r
s
tr
u
ctu
r
e
ef
f
icien
tly
s
ca
les
f
o
r
v
ar
io
u
s
d
ata
s
izes,
en
s
u
r
in
g
s
ec
u
r
e
d
a
ta
h
an
d
lin
g
ac
r
o
s
s
a
wid
e
r
a
n
g
e
o
f
I
o
T
d
e
v
ices.
Ad
d
itio
n
ally
,
its
ad
ap
tab
ilit
y
h
elp
s
m
ain
tain
d
ata
in
teg
r
ity
,
th
er
eb
y
im
p
r
o
v
in
g
b
o
th
t
h
e
s
ec
u
r
ity
an
d
ef
f
icien
c
y
o
f
d
ata
s
to
r
a
g
e
in
clo
u
d
-
b
ased
I
o
T
s
y
s
tem
s
.
ME
S
r
ed
u
ce
s
laten
cy
th
r
o
u
g
h
ef
f
icien
t
en
c
r
y
p
tio
n
o
p
er
atio
n
s
,
en
s
u
r
in
g
q
u
ick
d
ata
tr
an
s
ac
ti
o
n
s
b
etwe
en
clo
u
d
s
er
v
er
s
a
n
d
I
o
T
d
e
v
ices.
I
B
A
-
ME
S
en
s
u
r
es
r
o
b
u
s
t
d
ata
pr
o
tectio
n
b
y
i
n
teg
r
atin
g
th
e
s
p
ee
d
an
d
s
tr
en
g
th
o
f
B
lo
wf
is
h
with
m
o
d
u
lar
en
c
r
y
p
tio
n
ad
a
p
tab
ilit
y
.
T
h
e
m
ajo
r
g
o
al
o
f
th
is
r
esear
ch
is
to
d
ev
elo
p
a
s
ec
u
r
e
an
d
ef
f
ec
tiv
e
d
ata
s
to
r
ag
e
m
ec
h
an
is
m
f
o
r
clo
u
d
b
ased
I
o
T
s
y
s
tem
.
T
h
e
p
e
r
f
o
r
m
an
ce
m
etr
ics
in
c
lu
d
es
ex
ec
u
t
io
n
tim
e,
C
PU
u
s
ag
e,
en
cr
y
p
tio
n
tim
e,
d
ec
r
y
p
tio
n
tim
e,
r
u
n
n
in
g
tim
e
,
an
d
laten
cy
ar
e
v
alid
ate
th
e
ef
f
ec
tiv
en
ess
o
f
I
B
A
-
ME
S
in
s
ec
u
r
in
g
clo
u
d
-
b
ased
I
o
T
d
ata
to
en
s
u
r
e
less
p
r
o
ce
s
s
in
g
d
elay
s
.
T
h
e
r
esu
lts
attain
ed
f
r
o
m
I
B
A
-
ME
S
d
e
n
o
tes
a
b
etter
p
er
f
o
r
m
an
ce
in
d
ata
s
ec
u
r
ity
an
d
ef
f
ec
tiv
en
ess
in
clo
u
d
-
b
ased
I
o
T
s
y
s
tem
.
T
h
e
en
cr
y
p
tio
n
an
d
d
ec
r
y
p
tio
n
tim
es
(
2
7
0
an
d
4
1
5
m
s
f
o
r
7
0
0
b
lo
ck
s
)
o
u
tp
er
f
o
r
m
s
ex
i
s
tin
g
tech
n
iq
u
es
s
u
ch
as
T
DE
S.
Fu
r
th
er
m
o
r
e,
I
B
A
-
ME
S
o
p
tim
izes
r
eso
u
r
ce
co
n
s
u
m
p
tio
n
wh
ich
m
ak
es
it
b
etter
f
o
r
I
o
T
d
ev
ice
with
less
p
r
o
ce
s
s
in
g
ab
ilit
ies.
T
h
e
f
in
d
in
g
o
f
th
is
r
esear
c
h
is
v
alu
ab
le
f
o
r
d
if
f
er
e
n
t
s
tak
eh
o
ld
er
s
an
d
th
e
p
o
licy
m
ak
er
s
u
tili
ze
th
is
to
p
r
o
v
id
e
im
p
r
o
v
ed
s
ec
u
r
ity
f
o
r
I
o
T
b
ased
clo
u
d
s
to
r
ag
e
.
Ad
d
itio
n
ally
,
th
e
b
u
s
in
ess
ex
ec
u
tiv
es
in
f
in
an
ce
,
h
ea
lth
c
ar
e
an
d
in
d
u
s
tr
ial
s
ec
to
r
s
u
tili
ze
th
is
to
en
s
u
r
e
d
ata
s
ec
u
r
ity
a
n
d
in
teg
r
ity
a
g
ain
s
t c
y
b
er
t
h
r
ea
t
s
.
4.
CO
NCLU
SI
O
N
I
n
th
is
r
esear
ch
,
I
B
A
-
ME
S
i
s
p
r
o
p
o
s
ed
f
o
r
s
ec
u
r
e
an
d
ef
f
icien
t
d
ata
s
to
r
ag
e
in
clo
u
d
-
b
ased
I
o
T
en
v
ir
o
n
m
en
ts
.
T
h
is
d
u
al
ap
p
r
o
ac
h
e
n
h
an
ce
s
b
o
th
th
e
s
ec
u
r
ity
an
d
p
er
f
o
r
m
a
n
ce
o
f
t
h
e
en
cr
y
p
tio
n
a
n
d
d
ec
r
y
p
tio
n
p
r
o
ce
s
s
es
in
th
e
clo
u
d
.
I
B
A
r
ap
i
d
ly
co
m
p
letes
en
cr
y
p
tio
n
an
d
d
ec
r
y
p
tio
n
,
th
u
s
r
ed
u
cin
g
laten
c
y
.
W
ith
it
s
s
tr
o
n
g
en
cr
y
p
tio
n
ca
p
ab
ilit
ies,
it
o
f
f
er
s
im
p
r
o
v
ed
p
r
o
tectio
n
ag
ai
n
s
t
attac
k
s
,
en
s
u
r
in
g
t
h
e
s
af
ety
o
f
s
en
s
itiv
e
I
o
T
d
ata
s
to
r
ed
in
th
e
clo
u
d
.
I
t
is
o
p
tim
ized
f
o
r
lo
wer
r
eso
u
r
ce
c
o
n
s
u
m
p
tio
n
,
m
ak
in
g
it
s
u
itab
le
f
o
r
I
o
T
d
e
v
ices
th
at
r
eq
u
ir
e
m
i
n
im
al
ex
ec
u
tio
n
tim
e.
T
h
e
s
ca
lab
ilit
y
an
d
f
lex
ib
ilit
y
o
f
ME
S
en
ab
le
it
to
ac
co
m
m
o
d
ate
v
ar
io
u
s
I
o
T
d
e
v
ices
with
lim
ited
p
r
o
ce
s
s
in
g
p
o
wer
an
d
lo
w
ex
ec
u
tio
n
tim
es.
I
ts
ef
f
ec
tiv
en
ess
in
en
cr
y
p
tio
n
a
n
d
d
ec
r
y
p
tio
n
r
ed
u
ce
s
th
e
c
o
m
p
u
tatio
n
al
o
v
er
h
ea
d
r
eq
u
ir
e
d
to
h
an
d
le
l
ar
g
e
d
ata
v
o
lu
m
es.
I
B
A
-
ME
S
ac
h
iev
es
en
cr
y
p
tio
n
an
d
d
ec
r
y
p
tio
n
tim
es
o
f
2
7
0
an
d
4
1
5
m
s
,
r
esp
ec
tiv
el
y
,
f
o
r
7
0
0
b
lo
c
k
s
,
o
u
tp
er
f
o
r
m
in
g
ex
is
tin
g
tec
h
n
i
q
u
es.
I
n
th
e
f
u
tu
r
e,
d
if
f
e
r
en
t
d
ata
s
izes
will
b
e
co
n
s
id
er
ed
to
f
u
r
th
er
en
h
a
n
ce
th
e
m
o
d
el'
s
p
er
f
o
r
m
an
ce
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
9
3
8
I
n
t J Ar
tif
I
n
tell
,
Vo
l.
14
,
No
.
4
,
Au
g
u
s
t 2
0
2
5
:
2
6
6
7
-
2
6
7
5
2674
F
UNDING
I
NF
O
R
M
A
T
I
O
N
Au
th
o
r
s
s
tate
n
o
f
u
n
d
in
g
in
v
o
lv
ed
.
AUTHO
R
CO
NT
RI
B
UT
I
O
NS
ST
A
T
E
M
E
N
T
T
h
is
jo
u
r
n
al
u
s
es
th
e
C
o
n
tr
ib
u
to
r
R
o
les
T
ax
o
n
o
m
y
(
C
R
ed
iT)
to
r
ec
o
g
n
ize
in
d
iv
id
u
al
au
th
o
r
co
n
tr
ib
u
tio
n
s
,
r
ed
u
ce
au
th
o
r
s
h
ip
d
is
p
u
tes,
an
d
f
ac
ilit
ate
co
llab
o
r
atio
n
.
Na
m
e
o
f
Aut
ho
r
C
M
So
Va
Fo
I
R
D
O
E
Vi
Su
P
Fu
Sar
ith
a
I
b
ak
k
a
n
av
ar
Gu
d
d
ap
p
a
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
Ma
llig
eh
alli
Sh
iv
ak
u
m
ar
aswam
y
So
wm
y
ash
r
ee
✓
✓
✓
✓
✓
✓
✓
I
b
ak
k
a
n
av
ar
Gu
d
d
ap
p
a
Nav
ee
n
✓
✓
✓
✓
✓
✓
✓
✓
C
:
C
o
n
c
e
p
t
u
a
l
i
z
a
t
i
o
n
M
:
M
e
t
h
o
d
o
l
o
g
y
So
:
So
f
t
w
a
r
e
Va
:
Va
l
i
d
a
t
i
o
n
Fo
:
Fo
r
mal
a
n
a
l
y
s
i
s
I
:
I
n
v
e
s
t
i
g
a
t
i
o
n
R
:
R
e
so
u
r
c
e
s
D
:
D
a
t
a
C
u
r
a
t
i
o
n
O
:
W
r
i
t
i
n
g
-
O
r
i
g
i
n
a
l
D
r
a
f
t
E
:
W
r
i
t
i
n
g
-
R
e
v
i
e
w
&
E
d
i
t
i
n
g
Vi
:
Vi
su
a
l
i
z
a
t
i
o
n
Su
:
Su
p
e
r
v
i
s
i
o
n
P
:
P
r
o
j
e
c
t
a
d
mi
n
i
st
r
a
t
i
o
n
Fu
:
Fu
n
d
i
n
g
a
c
q
u
i
si
t
i
o
n
CO
NF
L
I
C
T
O
F
I
N
T
E
R
E
S
T
ST
A
T
E
M
E
NT
Au
th
o
r
s
s
tate
n
o
co
n
f
lict o
f
in
t
er
est.
DATA AV
AI
L
AB
I
L
I
T
Y
Data
av
ailab
ilit
y
is
n
o
t
ap
p
li
ca
b
le
to
th
is
p
ap
er
as
n
o
n
e
w
d
ata
wer
e
cr
ea
ted
o
r
an
aly
ze
d
in
th
is
s
tu
d
y
.
RE
F
E
R
E
NC
E
S
[
1
]
S
.
D
h
a
r
,
A
.
K
h
a
r
e
,
a
n
d
R
.
S
i
n
g
h
,
“
A
d
v
a
n
c
e
d
sec
u
r
i
t
y
m
o
d
e
l
f
o
r
m
u
l
t
i
me
d
i
a
d
a
t
a
s
h
a
r
i
n
g
i
n
i
n
t
e
r
n
e
t
o
f
t
h
i
n
g
s,”
T
ra
n
s
a
c
t
i
o
n
s
o
n
Em
e
rg
i
n
g
T
e
l
e
c
o
m
m
u
n
i
c
a
t
i
o
n
s Te
c
h
n
o
l
o
g
i
e
s
,
v
o
l
.
3
4
,
n
o
.
1
1
,
N
o
v
.
2
0
2
3
,
d
o
i
:
1
0
.
1
0
0
2
/
e
t
t
.
4
6
2
1
.
[
2
]
J.
W
a
n
g
,
J.
C
h
e
n
,
Y
.
R
e
n
,
P
.
K
.
S
h
a
r
ma,
O
.
A
l
f
a
r
r
a
j
,
a
n
d
A
.
T
o
l
b
a
,
“
D
a
t
a
s
e
c
u
r
i
t
y
s
t
o
r
a
g
e
me
c
h
a
n
i
sm
b
a
s
e
d
o
n
b
l
o
c
k
c
h
a
i
n
i
n
d
u
st
r
i
a
l
i
n
t
e
r
n
e
t
o
f
t
h
i
n
g
s,
”
C
o
m
p
u
t
e
rs &
I
n
d
u
s
t
ri
a
l
E
n
g
i
n
e
e
r
i
n
g
,
v
o
l
.
1
6
4
,
F
e
b
.
2
0
2
2
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
c
i
e
.
2
0
2
1
.
1
0
7
9
0
3
.
[
3
]
A
.
A
h
m
e
d
,
S
.
A
b
d
u
l
l
a
h
,
S
.
I
f
t
i
k
h
a
r
,
I
.
A
h
ma
d
,
S
.
A
j
ma
l
,
a
n
d
Q
.
H
u
ss
a
i
n
,
“
A
n
o
v
e
l
b
l
o
c
k
c
h
a
i
n
b
a
s
e
d
se
c
u
r
e
d
a
n
d
Q
o
S
a
w
a
r
e
I
o
T
v
e
h
i
c
u
l
a
r
n
e
t
w
o
r
k
i
n
e
d
g
e
c
l
o
u
d
c
o
m
p
u
t
i
n
g
,
”
I
EEE
A
c
c
e
s
s
,
v
o
l
.
1
0
,
p
p
.
7
7
7
0
7
–
7
7
7
2
2
,
2
0
2
2
,
d
o
i
:
1
0
.
1
1
0
9
/
A
C
C
ESS
.
2
0
2
2
.
3
1
9
2
1
1
1
.
[
4
]
G
.
R
a
mes
h
,
J.
Lo
g
e
sh
w
a
r
a
n
,
a
n
d
V
.
A
r
a
v
i
n
d
a
r
a
j
a
n
,
“
A
s
e
c
u
r
e
d
d
a
t
a
b
a
s
e
mo
n
i
t
o
r
i
n
g
m
e
t
h
o
d
t
o
i
m
p
r
o
v
e
d
a
t
a
b
a
c
k
u
p
a
n
d
r
e
c
o
v
e
r
y
o
p
e
r
a
t
i
o
n
s
i
n
c
l
o
u
d
c
o
mp
u
t
i
n
g
,
”
BO
H
R
I
n
t
e
rn
a
t
i
o
n
a
l
J
o
u
r
n
a
l
o
f
S
m
a
r
t
C
o
m
p
u
t
i
n
g
a
n
d
I
n
f
o
rm
a
t
i
o
n
T
e
c
h
n
o
l
o
g
y
,
v
o
l
.
4
,
n
o
.
1
,
p
p
.
1
7
–
2
3
,
2
0
2
3
,
d
o
i
:
1
0
.
5
4
6
4
6
/
b
i
j
sc
i
t
.
2
0
2
3
.
3
3
.
[
5
]
U
.
N
a
r
a
y
a
n
a
n
,
V
.
P
a
u
l
,
a
n
d
S
.
J
o
se
p
h
,
“
A
n
o
v
e
l
s
y
s
t
e
m
a
r
c
h
i
t
e
c
t
u
r
e
f
o
r
s
e
c
u
r
e
a
u
t
h
e
n
t
i
c
a
t
i
o
n
a
n
d
d
a
t
a
sh
a
r
i
n
g
i
n
c
l
o
u
d
e
n
a
b
l
e
d
b
i
g
d
a
t
a
e
n
v
i
r
o
n
m
e
n
t
,
”
J
o
u
r
n
a
l
o
f
K
i
n
g
S
a
u
d
U
n
i
v
e
rs
i
t
y
-
C
o
m
p
u
t
e
r a
n
d
I
n
f
o
rm
a
t
i
o
n
S
c
i
e
n
c
e
s
,
v
o
l
.
3
4
,
n
o
.
6
,
p
p
.
3
1
2
1
–
3
1
3
5
,
J
u
n
.
2
0
2
2
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
j
k
su
c
i
.
2
0
2
0
.
0
5
.
0
0
5
.
[
6
]
Y
.
Z
h
a
o
,
Q
.
L
i
,
W
.
Y
i
,
a
n
d
H
.
X
i
o
n
g
,
“
A
g
r
i
c
u
l
t
u
r
a
l
I
o
T
d
a
t
a
s
t
o
r
a
g
e
o
p
t
i
mi
z
a
t
i
o
n
a
n
d
i
n
f
o
r
m
a
t
i
o
n
sec
u
r
i
t
y
met
h
o
d
b
a
se
d
o
n
b
l
o
c
k
c
h
a
i
n
,
”
A
g
ri
c
u
l
t
u
re
,
v
o
l
.
1
3
,
n
o
.
2
,
J
a
n
.
2
0
2
3
,
d
o
i
:
1
0
.
3
3
9
0
/
a
g
r
i
c
u
l
t
u
r
e
1
3
0
2
0
2
7
4
.
[
7
]
U
.
P
a
n
a
h
i
a
n
d
C
.
B
a
y
ı
l
mı
ş
,
“
E
n
a
b
l
i
n
g
se
c
u
r
e
d
a
t
a
t
r
a
n
smiss
i
o
n
f
o
r
w
i
r
e
l
e
s
s
sen
s
o
r
n
e
t
w
o
r
k
s
b
a
s
e
d
I
o
T
a
p
p
l
i
c
a
t
i
o
n
s
,
”
A
i
n
S
h
a
m
s
En
g
i
n
e
e
ri
n
g
J
o
u
rn
a
l
,
v
o
l
.
1
4
,
n
o
.
2
,
M
a
r
.
2
0
2
3
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
a
sej
.
2
0
2
2
.
1
0
1
8
6
6
.
[
8
]
S
.
G
o
u
s
t
e
r
i
s,
Y
.
C
.
S
t
a
m
a
t
i
o
u
,
C
.
H
a
l
k
i
o
p
o
u
l
o
s,
H
.
A
n
t
o
n
o
p
o
u
l
o
u
,
a
n
d
N
.
K
o
st
o
p
o
u
l
o
s,
“
S
e
c
u
r
e
d
i
s
t
r
i
b
u
t
e
d
c
l
o
u
d
s
t
o
r
a
g
e
b
a
se
d
o
n
t
h
e
b
l
o
c
k
c
h
a
i
n
t
e
c
h
n
o
l
o
g
y
a
n
d
s
mart
c
o
n
t
r
a
c
t
s
,
”
Em
e
r
g
i
n
g
S
c
i
e
n
c
e
J
o
u
rn
a
l
,
v
o
l
.
7
,
n
o
.
2
,
p
p
.
4
6
9
–
4
7
9
,
F
e
b
.
2
0
2
3
,
d
o
i
:
1
0
.
2
8
9
9
1
/
ESJ
-
2
0
2
3
-
07
-
02
-
0
1
2
.
[
9
]
Z.
A
.
H
u
ssi
e
n
e
t
a
l
.
,
“
L
i
g
h
t
w
e
i
g
h
t
i
n
t
e
g
r
i
t
y
p
r
e
ser
v
i
n
g
sc
h
e
me
f
o
r
sec
u
r
e
d
a
t
a
e
x
c
h
a
n
g
e
i
n
c
l
o
u
d
-
b
a
se
d
I
o
T
sy
st
e
ms,
”
A
p
p
l
i
e
d
S
c
i
e
n
c
e
s
,
v
o
l
.
1
3
,
n
o
.
2
,
Ja
n
.
2
0
2
3
,
d
o
i
:
1
0
.
3
3
9
0
/
a
p
p
1
3
0
2
0
6
9
1
.
[
1
0
]
J.
S
.
Ja
y
a
p
r
a
k
a
sh
,
K
.
B
a
l
a
s
u
b
r
a
ma
n
i
a
n
,
R
.
S
u
l
a
i
ma
n
,
M
.
K
a
mr
u
l
H
a
sa
n
,
B
.
D
.
P
a
r
a
mes
h
a
c
h
a
r
i
,
a
n
d
C
.
I
w
e
n
d
i
,
“
C
l
o
u
d
d
a
t
a
e
n
c
r
y
p
t
i
o
n
a
n
d
a
u
t
h
e
n
t
i
c
a
t
i
o
n
b
a
se
d
o
n
e
n
h
a
n
c
e
d
m
e
r
k
l
e
h
a
sh
t
r
e
e
m
e
t
h
o
d
,
”
C
o
m
p
u
t
e
rs
,
Ma
t
e
r
i
a
l
s &
C
o
n
t
i
n
u
a
,
v
o
l
.
7
2
,
n
o
.
1
,
p
p
.
5
1
9
–
5
3
4
,
2
0
2
2
,
d
o
i
:
1
0
.
3
2
6
0
4
/
c
m
c
.
2
0
2
2
.
0
2
1
2
6
9
.
[
1
1
]
M
.
A
k
b
a
r
,
I
.
A
h
ma
d
,
M
.
M
i
r
z
a
,
M
.
A
l
i
,
a
n
d
P
.
B
a
r
m
a
v
a
t
u
,
“
En
h
a
n
c
e
d
a
u
t
h
e
n
t
i
c
a
t
i
o
n
f
o
r
d
e
-
d
u
p
l
i
c
a
t
i
o
n
o
f
b
i
g
d
a
t
a
o
n
c
l
o
u
d
st
o
r
a
g
e
sy
s
t
e
m
u
s
i
n
g
mac
h
i
n
e
l
e
a
r
n
i
n
g
a
p
p
r
o
a
c
h
,
”
C
l
u
s
t
e
r
C
o
m
p
u
t
i
n
g
,
v
o
l
.
2
7
,
n
o
.
3
,
p
p
.
3
6
8
3
–
3
7
0
2
,
Ju
n
.
2
0
2
4
,
d
o
i
:
1
0
.
1
0
0
7
/
s
1
0
5
8
6
-
0
2
3
-
0
4
1
7
1
-
y.
[
1
2
]
S
.
M
i
t
t
a
l
e
t
a
l
.
,
“
U
s
i
n
g
i
d
e
n
t
i
t
y
-
b
a
s
e
d
c
r
y
p
t
o
g
r
a
p
h
y
a
s
a
f
o
u
n
d
a
t
i
o
n
f
o
r
a
n
e
f
f
e
c
t
i
v
e
a
n
d
se
c
u
r
e
c
l
o
u
d
m
o
d
e
l
f
o
r
e
-
h
e
a
l
t
h
,
”
C
o
m
p
u
t
a
t
i
o
n
a
l
I
n
t
e
l
l
i
g
e
n
c
e
a
n
d
N
e
u
r
o
sc
i
e
n
c
e
,
v
o
l
.
2
0
2
2
,
p
p
.
1
–
8
,
A
p
r
.
2
0
2
2
,
d
o
i
:
1
0
.
1
1
5
5
/
2
0
2
2
/
7
0
1
6
5
5
4
.
[
1
3
]
A
.
K
u
mar,
S
.
A
.
K
u
m
a
r
,
V
.
D
u
t
t
,
A
.
K
.
D
u
b
e
y
,
a
n
d
S
.
N
a
r
a
n
g
,
“
A
h
y
b
r
i
d
sec
u
r
e
c
l
o
u
d
p
l
a
t
f
o
r
m
ma
i
n
t
e
n
a
n
c
e
b
a
se
d
o
n
i
m
p
r
o
v
e
d
a
t
t
r
i
b
u
t
e
-
b
a
se
d
e
n
c
r
y
p
t
i
o
n
st
r
a
t
e
g
i
e
s,”
I
n
t
e
r
n
a
t
i
o
n
a
l
J
o
u
rn
a
l
o
f
I
n
t
e
ra
c
t
i
v
e
Mu
l
t
i
m
e
d
i
a
a
n
d
Art
i
f
i
c
i
a
l
I
n
t
e
l
l
i
g
e
n
c
e
,
v
o
l
.
8
,
n
o
.
2
,
p
p
.
1
5
0
–
1
5
7
,
2
0
2
3
,
d
o
i
:
1
0
.
9
7
8
1
/
i
j
i
mai
.
2
0
2
1
.
1
1
.
0
0
4
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ar
tif
I
n
tell
I
SS
N:
2252
-
8
9
3
8
Op
timiz
ed
d
a
ta
s
ec
u
r
ity
a
n
d
s
to
r
a
g
e
u
s
in
g
imp
r
o
ve
d
b
lo
w
fis
h
…
(
S
a
r
ith
a
I
b
a
kk
a
n
a
v
a
r
Gu
d
d
a
p
p
a
)
2675
[
1
4
]
K
.
D
u
b
e
y
,
S
.
C
.
S
h
a
r
ma,
a
n
d
M
.
K
u
mar,
“
A
se
c
u
r
e
I
o
T
a
p
p
l
i
c
a
t
i
o
n
s
a
l
l
o
c
a
t
i
o
n
f
r
a
mew
o
r
k
f
o
r
i
n
t
e
g
r
a
t
e
d
f
o
g
-
c
l
o
u
d
e
n
v
i
r
o
n
m
e
n
t
,
”
J
o
u
rn
a
l
o
f
G
r
i
d
C
o
m
p
u
t
i
n
g
,
v
o
l
.
2
0
,
n
o
.
1
,
M
a
r
.
2
0
2
2
,
d
o
i
:
1
0
.
1
0
0
7
/
s
1
0
7
2
3
-
0
2
1
-
0
9
5
9
1
-
x.
[
1
5
]
A
.
R
a
z
a
q
u
e
,
Y
.
Jar
a
r
w
e
h
,
B
.
A
l
o
t
a
i
b
i
,
M
.
A
l
o
t
a
i
b
i
,
S
.
H
a
r
i
r
i
,
a
n
d
M
.
A
l
mi
a
n
i
,
“
E
n
e
r
g
y
-
e
f
f
i
c
i
e
n
t
a
n
d
se
c
u
r
e
mo
b
i
l
e
f
o
g
-
b
a
se
d
c
l
o
u
d
f
o
r
t
h
e
I
n
t
e
r
n
e
t
o
f
Th
i
n
g
s,”
F
u
t
u
re
G
e
n
e
ra
t
i
o
n
C
o
m
p
u
t
e
r
S
y
s
t
e
m
s
,
v
o
l
.
1
2
7
,
p
p
.
1
–
1
3
,
F
e
b
.
2
0
2
2
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
f
u
t
u
r
e
.
2
0
2
1
.
0
8
.
0
2
4
.
[
1
6
]
R
.
C
h
a
g
a
n
t
i
,
V
.
V
a
r
a
d
a
r
a
j
a
n
,
V
.
S
.
G
o
r
a
n
t
l
a
,
T.
R
.
G
a
d
e
k
a
l
l
u
,
a
n
d
V
.
R
a
v
i
,
“
B
l
o
c
k
c
h
a
i
n
-
b
a
se
d
c
l
o
u
d
-
e
n
a
b
l
e
d
se
c
u
r
i
t
y
m
o
n
i
t
o
r
i
n
g
u
si
n
g
i
n
t
e
r
n
e
t
o
f
t
h
i
n
g
s
i
n
sm
a
r
t
a
g
r
i
c
u
l
t
u
r
e
,
”
Fu
t
u
re
I
n
t
e
rn
e
t
,
v
o
l
.
1
4
,
n
o
.
9
,
A
u
g
.
2
0
2
2
,
d
o
i
:
1
0
.
3
3
9
0
/
f
i
1
4
0
9
0
2
5
0
.
[
1
7
]
S
.
G
a
d
d
e
,
J
.
A
mu
t
h
a
r
a
j
,
a
n
d
S
.
U
sh
a
,
“
A
se
c
u
r
i
t
y
mo
d
e
l
t
o
p
r
o
t
e
c
t
t
h
e
i
so
l
a
t
i
o
n
o
f
me
d
i
c
a
l
d
a
t
a
i
n
t
h
e
c
l
o
u
d
u
si
n
g
h
y
b
r
i
d
c
r
y
p
t
o
g
r
a
p
h
y
,
”
J
o
u
r
n
a
l
o
f
I
n
f
o
rm
a
t
i
o
n
S
e
c
u
r
i
t
y
a
n
d
A
p
p
l
i
c
a
t
i
o
n
s
,
v
o
l
.
7
3
,
2
0
2
3
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
j
i
sa.
2
0
2
2
.
1
0
3
4
1
2
.
[
1
8
]
A
.
K
u
m
a
r
e
t
a
l
.
,
“
D
e
v
e
l
o
p
me
n
t
o
f
a
c
l
o
u
d
-
a
ss
i
st
e
d
c
l
a
ss
i
f
i
c
a
t
i
o
n
t
e
c
h
n
i
q
u
e
f
o
r
t
h
e
p
r
e
ser
v
a
t
i
o
n
o
f
s
e
c
u
r
e
d
a
t
a
st
o
r
a
g
e
i
n
smar
t
c
i
t
i
e
s
,
”
J
o
u
r
n
a
l
o
f
C
l
o
u
d
C
o
m
p
u
t
i
n
g
,
v
o
l
.
1
2
,
n
o
.
1
,
Ju
n
.
2
0
2
3
,
d
o
i
:
1
0
.
1
1
8
6
/
s1
3
6
7
7
-
023
-
0
0
4
6
9
-
9.
[
1
9
]
F
.
S
a
j
i
d
e
t
a
l
.
,
“
S
e
c
u
r
e
a
n
d
e
f
f
i
c
i
e
n
t
d
a
t
a
st
o
r
a
g
e
o
p
e
r
a
t
i
o
n
s
b
y
u
s
i
n
g
i
n
t
e
l
l
i
g
e
n
t
c
l
a
ssi
f
i
c
a
t
i
o
n
t
e
c
h
n
i
q
u
e
a
n
d
R
S
A
a
l
g
o
r
i
t
h
m
i
n
I
o
T
-
b
a
se
d
c
l
o
u
d
c
o
m
p
u
t
i
n
g
,
”
S
c
i
e
n
t
i
f
i
c
Pr
o
g
r
a
m
m
i
n
g
,
v
o
l
.
2
0
2
2
,
p
p
.
1
–
1
0
,
A
p
r
.
2
0
2
2
,
d
o
i
:
1
0
.
1
1
5
5
/
2
0
2
2
/
2
1
9
5
6
4
6
.
[
2
0
]
B
.
S
e
t
h
,
S
.
D
a
l
a
l
,
V
.
J
a
g
l
a
n
,
D
.
Le
,
S
.
M
o
h
a
n
,
a
n
d
G
.
S
r
i
v
a
st
a
v
a
,
“
I
n
t
e
g
r
a
t
i
n
g
e
n
c
r
y
p
t
i
o
n
t
e
c
h
n
i
q
u
e
s
f
o
r
sec
u
r
e
d
a
t
a
s
t
o
r
a
g
e
i
n
t
h
e
c
l
o
u
d
,
”
T
r
a
n
s
a
c
t
i
o
n
s
o
n
Em
e
r
g
i
n
g
T
e
l
e
c
o
m
m
u
n
i
c
a
t
i
o
n
s T
e
c
h
n
o
l
o
g
i
e
s
,
v
o
l
.
3
3
,
n
o
.
4
,
A
p
r
.
2
0
2
2
,
d
o
i
:
1
0
.
1
0
0
2
/
e
t
t
.
4
1
0
8
.
[
2
1
]
A
.
R
a
h
m
a
n
,
M
.
J.
I
sl
a
m,
S
.
S
.
B
a
n
d
,
G
.
M
u
h
a
m
ma
d
,
K
.
H
a
s
a
n
,
a
n
d
P
.
Ti
w
a
r
i
,
“
T
o
w
a
r
d
s
a
b
l
o
c
k
c
h
a
i
n
-
S
D
N
-
b
a
se
d
s
e
c
u
r
e
a
r
c
h
i
t
e
c
t
u
r
e
f
o
r
c
l
o
u
d
c
o
m
p
u
t
i
n
g
i
n
s
mart
i
n
d
u
st
r
i
a
l
I
o
T,
”
D
i
g
i
t
a
l
C
o
m
m
u
n
i
c
a
t
i
o
n
s a
n
d
N
e
t
w
o
r
k
s
,
v
o
l
.
9
,
n
o
.
2
,
p
p
.
4
1
1
–
4
2
1
,
A
p
r
.
2
0
2
3
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
d
c
a
n
.
2
0
2
2
.
1
1
.
0
0
3
.
[
2
2
]
M
.
N
.
R
a
mac
h
a
n
d
r
a
,
M
.
S
.
R
a
o
,
W
.
C
.
La
i
,
B
.
D
.
P
a
r
a
mes
h
a
c
h
a
r
i
,
J.
A
.
B
a
b
u
,
a
n
d
K
.
L
.
H
e
mal
a
t
h
a
,
“
A
n
e
f
f
i
c
i
e
n
t
a
n
d
sec
u
r
e
b
i
g
d
a
t
a
st
o
r
a
g
e
i
n
c
l
o
u
d
e
n
v
i
r
o
n
m
e
n
t
b
y
u
si
n
g
t
r
i
p
l
e
d
a
t
a
e
n
c
r
y
p
t
i
o
n
st
a
n
d
a
r
d
,
”
Bi
g
D
a
t
a
a
n
d
C
o
g
n
i
t
i
v
e
C
o
m
p
u
t
i
n
g
,
v
o
l
.
6
,
n
o
.
4
,
S
e
p
.
2
0
2
2
,
d
o
i
:
1
0
.
3
3
9
0
/
b
d
c
c
6
0
4
0
1
0
1
.
[
2
3
]
Z.
U
l
l
a
h
,
B
.
R
a
z
a
,
H
.
S
h
a
h
,
S
.
K
h
a
n
,
a
n
d
A
.
W
a
h
e
e
d
,
“
To
w
a
r
d
s
b
l
o
c
k
c
h
a
i
n
-
b
a
se
d
s
e
c
u
r
e
st
o
r
a
g
e
a
n
d
t
r
u
s
t
e
d
d
a
t
a
s
h
a
r
i
n
g
sc
h
e
m
e
f
o
r
I
o
T
e
n
v
i
r
o
n
m
e
n
t
,
”
I
EEE
Ac
c
e
ss
,
v
o
l
.
1
0
,
p
p
.
3
6
9
7
8
–
3
6
9
9
4
,
2
0
2
2
,
d
o
i
:
1
0
.
1
1
0
9
/
A
C
C
ESS
.
2
0
2
2
.
3
1
6
4
0
8
1
.
[
2
4
]
M
.
K
a
sh
i
f
a
n
d
K
.
K
a
l
k
a
n
,
“
D
i
f
f
e
r
e
n
t
i
a
l
p
r
i
v
a
c
y
p
r
e
s
e
r
v
i
n
g
b
a
s
e
d
f
r
a
mew
o
r
k
u
s
i
n
g
b
l
o
c
k
c
h
a
i
n
f
o
r
i
n
t
e
r
n
e
t
-
of
-
t
h
i
n
g
s,
”
P
e
e
r
-
to
-
Pe
e
r
N
e
t
w
o
r
k
i
n
g
a
n
d
A
p
p
l
i
c
a
t
i
o
n
s
,
v
o
l
.
1
8
,
n
o
.
1
,
p
p
.
1
–
2
3
,
2
0
2
5
,
d
o
i
:
1
0
.
1
0
0
7
/
s1
2
0
8
3
-
024
-
0
1
8
5
8
-
w.
[
2
5
]
D
.
A
h
a
ma
d
,
S
.
A
.
H
a
mee
d
,
a
n
d
M
.
A
k
h
t
a
r
,
“
A
mu
l
t
i
-
o
b
j
e
c
t
i
v
e
p
r
i
v
a
c
y
p
r
e
serv
a
t
i
o
n
m
o
d
e
l
f
o
r
c
l
o
u
d
s
e
c
u
r
i
t
y
u
si
n
g
h
y
b
r
i
d
Ja
y
a
-
b
a
s
e
d
sh
a
r
k
sme
l
l
o
p
t
i
mi
z
a
t
i
o
n
,
”
J
o
u
r
n
a
l
o
f
K
i
n
g
S
a
u
d
U
n
i
v
e
rsi
t
y
-
C
o
m
p
u
t
e
r
a
n
d
I
n
f
o
rm
a
t
i
o
n
S
c
i
e
n
c
e
s
,
v
o
l
.
3
4
,
n
o
.
6
,
p
p
.
2
3
4
3
–
2
3
5
8
,
Ju
n
.
2
0
2
2
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
j
k
su
c
i
.
2
0
2
0
.
1
0
.
0
1
5
.
B
I
O
G
RAP
H
I
E
S O
F
AUTH
O
RS
S
a
r
ith
a
Ib
a
k
k
a
n
a
v
a
r
G
u
d
d
a
p
p
a
c
o
m
p
lete
d
B.
E.
(TCE
)
fr
o
m
M
VIT,
Ba
n
g
a
l
o
re
,
M
.
Tec
h
.
(Di
g
it
a
l
El
e
c
tro
n
ics
a
n
d
Co
m
m
u
n
ica
ti
o
n
)
fr
o
m
M
S
RI
T,
B
e
n
g
a
lu
r
u
,
a
n
d
P
h
.
D
.
(Cy
b
e
r
S
e
c
u
rit
y
)
fro
m
Visv
e
sv
a
ra
y
a
Tec
h
n
o
lo
g
ica
l
Un
iv
e
rsit
y
,
Be
lag
a
v
i.
S
h
e
h
a
s
1
7
y
e
a
rs
o
f
tea
c
h
in
g
a
n
d
6
y
e
a
rs
o
f
re
se
a
rc
h
e
x
p
e
rien
c
e
.
At
p
re
se
n
t,
s
h
e
is
wo
r
k
in
g
a
s
a
n
As
sista
n
t
P
r
o
fe
ss
o
r
i
n
t
h
e
De
p
a
rtme
n
t
o
f
El
e
c
tro
n
ics
a
n
d
C
o
m
m
u
n
ica
ti
o
n
E
n
g
in
e
e
rin
g
,
B
M
S
In
stit
u
te o
f
Tec
h
n
o
l
o
g
y
a
n
d
M
a
n
a
g
e
m
e
n
t,
Be
n
g
a
l
u
ru
.
S
h
e
is
a
m
e
m
b
e
r
o
f
p
ro
fe
ss
io
n
a
l
b
o
d
ies
su
c
h
a
s
IS
TE
a
n
d
IAPURAI
.
S
h
e
h
a
s
o
rg
a
n
ize
d
a
n
d
a
tt
e
n
d
e
d
m
a
n
y
wo
r
k
sh
o
p
s,
F
DPs,
a
n
d
S
TT
P
s.
S
h
e
h
a
s
a
ls
o
g
u
i
d
e
d
se
v
e
ra
l
U
G
p
ro
jec
ts.
S
h
e
h
a
s
p
u
b
li
sh
e
d
m
a
n
y
tec
h
n
ica
l
p
a
p
e
rs
i
n
n
a
ti
o
n
a
l
a
n
d
i
n
tern
a
ti
o
n
a
l
jo
u
r
n
a
ls an
d
c
o
n
fe
re
n
c
e
s.
S
h
e
c
a
n
b
e
c
o
n
tac
ted
at
e
m
a
il
:
sa
rit
h
a
.
i.
g
@b
m
sit.
in
.
S
o
wm
y
a
shre
e
Ma
ll
ig
e
h
a
ll
i
S
h
i
v
a
k
u
m
a
r
a
sw
a
m
y
c
o
m
p
lete
d
B.
E.
(ECE
)
fr
o
m
Ox
fo
rd
Co
ll
e
g
e
o
f
E
n
g
in
e
e
rin
g
,
Ba
n
g
a
lo
re
,
M
.
Tec
h
.
(El
e
c
tr
o
n
ics
a
n
d
Co
m
m
u
n
ica
ti
o
n
)
fr
o
m
S
M
VIT,
Be
n
g
a
l
u
ru
,
a
n
d
P
h
.
D.
(
WS
N)
fro
m
Visv
e
sv
a
ra
y
a
Tec
h
n
o
lo
g
ica
l
Un
iv
e
rsit
y
,
Be
lag
a
v
i
.
S
h
e
h
a
s
1
6
y
e
a
rs
o
f
tea
c
h
in
g
a
n
d
6
y
e
a
rs
o
f
re
se
a
rc
h
e
x
p
e
rien
c
e
.
A
t
p
re
se
n
t,
sh
e
is
wo
r
k
i
n
g
a
s
a
n
As
sista
n
t
P
ro
fe
ss
o
r
i
n
th
e
D
e
p
a
rtme
n
t
o
f
El
e
c
tro
n
ics
a
n
d
C
o
m
m
u
n
ica
ti
o
n
En
g
i
n
e
e
rin
g
,
BM
S
In
stit
u
te
o
f
Tec
h
n
o
l
o
g
y
a
n
d
M
a
n
a
g
e
m
e
n
t,
Be
n
g
a
lu
ru
.
S
h
e
i
s
a
m
e
m
b
e
r
o
f
p
ro
fe
ss
io
n
a
l
b
o
d
ies
su
c
h
a
s
IS
TE
a
n
d
IET
E
.
S
h
e
h
a
s
o
r
g
a
n
ize
d
a
n
d
a
tt
e
n
d
e
d
m
a
n
y
wo
r
k
sh
o
p
s,
F
DPs,
a
n
d
S
TT
P
s.
S
h
e
h
a
s
g
u
i
d
e
d
se
v
e
ra
l
UG
p
ro
jec
ts
a
n
d
p
u
b
li
sh
e
d
n
u
m
e
ro
u
s
tec
h
n
ica
l
p
a
p
e
rs
i
n
n
a
ti
o
n
a
l
a
n
d
i
n
tern
a
ti
o
n
a
l
j
o
u
r
n
a
ls
a
n
d
c
o
n
fe
re
n
c
e
s.
S
h
e
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
so
wm
y
a
sh
re
e
.
m
.
s@
b
m
sit.
in
.
Na
v
e
e
n
Iba
k
k
a
n
a
v
a
r
G
u
d
d
a
p
p
a
c
o
m
p
lete
d
B
.
E.
(
EC
E)
fro
m
S
JCIT
,
Ch
ick
k
a
b
a
ll
a
p
u
r
,
M
.
Tec
h
.
(VLS
I
a
n
d
Emb
e
d
d
e
d
S
y
ste
m
s)
fro
m
Dr.
AIT,
Be
n
g
a
lu
ru
,
a
n
d
P
h
.
D.
(M
i
x
e
d
M
o
d
e
VLS
I
De
sig
n
)
fro
m
Visv
e
sv
a
ra
y
a
Tec
h
n
o
l
o
g
i
c
a
l
Un
iv
e
rsity
,
Be
lag
a
v
i
.
He
h
a
s 1
7
y
e
a
rs o
f
tea
c
h
in
g
,
7
y
e
a
rs o
f
re
se
a
rc
h
,
a
n
d
2
y
e
a
rs o
f
in
d
u
str
y
e
x
p
e
rien
c
e
.
At
p
re
se
n
t,
h
e
is
wo
rk
i
n
g
a
s
a
n
As
so
c
iate
P
r
o
f
e
ss
o
r
in
t
h
e
De
p
a
rtme
n
t
o
f
E
lec
tro
n
ics
a
n
d
C
o
m
m
u
n
ica
ti
o
n
En
g
i
n
e
e
rin
g
,
Nit
te
M
e
e
n
a
k
s
h
i
In
stit
u
te
o
f
Tec
h
n
o
l
o
g
y
,
Be
n
g
a
lu
ru
.
He
is
a
m
e
m
b
e
r
o
f
p
ro
fe
ss
io
n
a
l
b
o
d
ies
su
c
h
a
s
IEE
E,
IS
TE
,
a
n
d
IAENG
.
He
h
a
s
o
r
g
a
n
ize
d
a
n
d
a
tt
e
n
d
e
d
m
a
n
y
wo
rk
sh
o
p
s,
F
DPs
,
a
n
d
S
T
TP
s.
He
h
a
s
g
u
id
e
d
8
M
.
Tec
h
.
st
u
d
e
n
ts
a
n
d
p
u
b
li
s
h
e
d
se
v
e
ra
l
tec
h
n
ica
l
p
a
p
e
rs
i
n
n
a
ti
o
n
a
l
a
n
d
i
n
tern
a
ti
o
n
a
l
j
o
u
r
n
a
ls
a
n
d
c
o
n
fe
re
n
c
e
s
with
g
o
o
d
imp
a
c
t
fa
c
to
rs,
in
d
e
x
e
d
in
S
c
o
p
u
s
a
n
d
G
o
o
g
le
S
c
h
o
lar.
He
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
n
a
v
e
e
n
.
i
g
@n
m
it
.
a
c
.
i
n
.
Evaluation Warning : The document was created with Spire.PDF for Python.