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Vo
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14
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Dec
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er
20
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6
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I
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Vo
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14
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No
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6
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Dec
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r
20
24
:
6
7
2
3
-
6
7
3
3
6724
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ig
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ts
in
to
th
e
en
h
an
ce
m
e
n
ts
th
ese
tech
n
o
lo
g
ies
b
r
in
g
t
o
e
-
v
o
tin
g
s
ec
u
r
ity
.
B
y
in
teg
r
atin
g
b
lo
ck
ch
ain
'
s
tr
an
s
p
ar
en
cy
with
AI
'
s
an
aly
tical
p
r
o
wess
,
th
e
s
tu
d
y
p
r
o
v
id
es
a
n
o
v
el
p
er
s
p
ec
tiv
e
o
n
cr
ea
tin
g
m
o
r
e
s
ec
u
r
e,
tr
an
s
p
ar
e
n
t,
an
d
ef
f
icien
t
elec
to
r
al
p
r
o
ce
s
s
es.
T
h
e
p
r
ac
tical
im
p
licatio
n
s
o
f
th
is
tech
n
o
lo
g
y
in
teg
r
atio
n
ar
e
d
em
o
n
s
tr
ated
th
r
o
u
g
h
s
im
u
lated
r
ea
l
-
wo
r
l
d
s
ce
n
ar
io
s
,
v
alid
atin
g
th
e
e
f
f
ec
tiv
en
ess
o
f
th
is
ap
p
r
o
ac
h
an
d
s
ettin
g
a
b
e
n
ch
m
ar
k
f
o
r
f
u
t
u
r
e
elec
to
r
al
s
ec
u
r
ity
f
r
am
ewo
r
k
s
.
B
y
c
o
n
ce
n
tr
atin
g
o
n
th
e
b
lo
ck
ch
ain
an
d
a
r
tific
ial
in
tellig
en
ce
in
teg
r
atio
n
,
th
e
a
r
ticle
p
r
o
v
id
es
tim
ely
a
n
d
r
elev
an
t
s
o
lu
tio
n
s
to
cu
r
r
en
t
v
u
ln
er
ab
ilit
ies
in
elec
to
r
al
p
r
o
ce
s
s
es.
T
h
is
r
elev
an
ce
is
u
n
d
er
s
co
r
ed
b
y
th
e
g
r
o
win
g
co
n
ce
r
n
s
o
v
e
r
elec
to
r
al
f
r
au
d
,
d
ata
b
r
ea
ch
es,
a
n
d
t
h
e
o
v
er
all
tr
u
s
two
r
th
i
n
ess
o
f
d
i
g
ital
v
o
tin
g
s
y
s
tem
s
,
m
ak
i
n
g
t
h
e
r
esear
ch
h
ig
h
l
y
p
er
tin
en
t to
c
u
r
r
en
t te
c
h
n
o
l
o
g
i
ca
l a
n
d
s
o
cieta
l n
ee
d
s
.
2.
L
I
T
E
R
AT
U
RE
R
E
VI
E
W
B
lo
ck
ch
ain
an
d
ar
tific
ial
in
tellig
en
ce
tech
n
o
lo
g
ies
co
m
in
g
to
g
eth
er
p
r
esen
ts
a
p
r
o
m
is
in
g
f
r
o
n
tier
f
o
r
en
h
an
cin
g
th
e
s
ec
u
r
ity
f
r
am
ewo
r
k
o
f
elec
tr
o
n
ic
v
o
tin
g
s
y
s
tem
s
.
T
h
is
li
ter
atu
r
e
r
ev
iew
s
y
n
th
esizes
k
ey
f
in
d
in
g
s
f
r
o
m
r
ec
en
t
s
tu
d
ies,
em
p
h
asizin
g
th
e
s
ep
ar
ate
co
n
t
r
ib
u
tio
n
s
o
f
b
lo
c
k
ch
ain
a
n
d
a
r
tific
ial
in
tellig
en
ce
to
e
-
v
o
tin
g
s
ec
u
r
ity
a
n
d
i
d
en
tify
in
g
t
h
e
n
u
a
n
ce
d
a
d
v
a
n
ce
m
en
ts
o
f
f
e
r
ed
b
y
th
e
in
teg
r
ated
ap
p
r
o
ac
h
.
R
esear
ch
d
o
cu
m
e
n
ts
b
lo
c
k
c
h
ain
'
s
u
tili
ty
in
en
s
u
r
i
n
g
t
r
an
s
p
ar
en
cy
an
d
im
m
u
tab
ilit
y
with
in
e
-
v
o
tin
g
s
y
s
tem
s
.
R
ec
en
t
s
tu
d
ies,
as
Ag
ate
et
a
l.
[
1
]
h
ig
h
lig
h
ted
b
lo
ck
ch
ain
'
s
r
o
le
in
e
n
h
an
ci
n
g
v
o
tin
g
in
teg
r
ity
b
y
s
af
eg
u
ar
d
in
g
ag
ai
n
s
t
u
n
au
th
o
r
ized
ac
ce
s
s
an
d
tam
p
er
in
g
with
v
o
te
r
ec
o
r
d
s
.
I
ts
d
ec
e
n
tr
alize
d
ar
ch
itectu
r
e
is
p
iv
o
tal
in
p
r
ev
e
n
tin
g
u
n
ilater
a
l a
lter
atio
n
s
o
f
v
o
te
o
u
tco
m
es,
th
u
s
ad
d
r
ess
in
g
elec
to
r
al
f
r
au
d
co
n
ce
r
n
s
.
Fu
r
th
er
r
esear
ch
illu
s
tr
ated
b
y
Pan
ja
a
n
d
R
o
y
[
2
]
h
o
w
b
l
o
ck
ch
ai
n
'
s
t
r
an
s
p
ar
en
cy
f
o
s
ter
s
v
o
ter
co
n
f
id
en
ce
b
y
e
n
ab
lin
g
an
o
n
y
m
o
u
s
v
o
te
v
e
r
if
icatio
n
.
B
ey
o
n
d
an
o
m
al
y
d
etec
tio
n
,
ar
tific
ial
in
tellig
en
ce
's
ca
p
ab
ilit
i
es
in
r
ea
l
-
tim
e
d
ata
m
o
n
ito
r
in
g
f
o
r
id
e
n
tify
in
g
v
o
t
in
g
d
is
cr
ep
an
cies
ar
e
well
n
o
ted
.
Ar
tific
ial
in
tellig
en
ce
'
s
ef
f
icac
y
in
au
to
m
atin
g
v
o
ter
v
e
r
if
icatio
n
p
r
o
ce
s
s
es,
r
ed
u
ce
s
h
u
m
a
n
er
r
o
r
,
an
d
en
s
u
r
in
g
elec
to
r
al
in
teg
r
ity
.
Acc
o
r
d
in
g
to
E
l
Fezz
az
i
[
3
]
th
ese
ad
v
a
n
ce
m
en
ts
p
o
i
n
t
to
war
d
s
AI
'
s
cr
itical
r
o
le
in
s
tr
ea
m
lin
in
g
th
e
elec
to
r
al
p
r
o
ce
s
s
th
r
o
u
g
h
s
o
p
h
is
ticated
d
ata
an
aly
s
is
.
Desp
ite
ex
ten
s
iv
e
d
o
cu
m
en
tat
io
n
o
n
th
e
i
n
d
iv
id
u
al
im
p
ac
ts
o
f
b
lo
c
k
ch
ain
an
d
ar
tific
ial
in
tellig
en
ce
o
n
e
-
v
o
tin
g
,
liter
atu
r
e
o
n
th
eir
s
y
n
er
g
is
tic
ap
p
licatio
n
r
em
ain
s
s
p
ar
s
e.
A
d
is
tin
ct
g
ap
is
o
b
s
er
v
ed
in
em
p
ir
ical
r
esear
ch
ex
p
lo
r
in
g
t
h
e
in
teg
r
ated
ap
p
licatio
n
o
f
t
h
ese
tech
n
o
lo
g
ies
in
r
ea
lis
tic
elec
to
r
al
s
ce
n
ar
io
s
,
cr
u
cial
f
o
r
ass
ess
in
g
p
r
ac
tical
im
p
licatio
n
s
an
d
ch
allen
g
es.
T
h
e
cu
r
r
en
t
s
tu
d
y
s
ee
k
s
to
b
r
id
g
e
th
ese
g
ap
s
b
y
in
teg
r
atin
g
b
lo
ck
c
h
ain
a
n
d
t
o
f
o
r
tify
e
-
v
o
tin
g
s
ec
u
r
ity
,
im
p
l
em
en
tin
g
t
h
is
in
teg
r
atio
n
in
s
i
m
u
lated
r
ea
l
-
w
o
r
ld
en
v
ir
o
n
m
en
ts
.
I
t
d
elv
es
in
t
o
ar
tific
ial
in
tellig
e
n
ce
'
s
p
o
ten
tial
to
e
n
h
an
ce
b
l
o
ck
c
h
ain
f
u
n
ctio
n
ality
,
ad
d
r
ess
in
g
s
ca
lab
ilit
y
is
s
u
es
id
en
tifie
d
in
th
e
r
esear
c
h
b
y
G
u
p
ta
et
a
l.
[
4
]
.
Ad
d
itio
n
ally
,
i
t
p
r
o
p
o
s
es
a
n
o
v
el
d
ec
en
tr
alize
d
m
ac
h
in
e
lea
r
n
i
n
g
f
r
am
ewo
r
k
th
at
aim
s
to
d
is
tr
ib
u
te
co
m
p
u
tatio
n
al
task
s
,
en
h
an
cin
g
s
y
s
tem
r
o
b
u
s
tn
ess
an
d
s
ca
lab
ilit
y
.
E
m
p
ir
ical
ev
id
e
n
ce
p
r
esen
te
d
h
er
ei
n
u
n
d
er
s
co
r
es
th
e
s
y
n
er
g
is
tic
ef
f
ec
ts
o
f
b
lo
ck
ch
ain
an
d
AI
in
teg
r
atio
n
,
s
h
o
wca
s
in
g
th
eir
co
m
p
lem
en
tar
y
r
o
les
in
s
ec
u
r
in
g
,
o
p
ti
m
izin
g
,
an
d
m
ak
in
g
th
e
v
o
tin
g
p
r
o
ce
s
s
m
o
r
e
ef
f
ici
en
t.
Fu
r
th
er
m
o
r
e
,
r
ec
e
n
t
s
tu
d
ies
h
av
e
co
n
d
u
cted
a
c
o
m
p
r
e
h
en
s
i
v
e
an
aly
s
is
o
f
b
lo
c
k
ch
ain
'
s
ef
f
icac
y
in
m
itig
atin
g
cy
b
er
s
ec
u
r
ity
r
is
k
s
with
in
e
-
v
o
tin
g
s
y
s
tem
s
.
E
m
p
lo
y
in
g
a
co
m
b
i
n
atio
n
o
f
em
p
ir
ical
s
im
u
latio
n
s
an
d
th
eo
r
etica
l
m
o
d
elin
g
,
T
y
a
g
i
et
a
l.
[
5
]
r
ig
o
r
o
u
s
ly
ev
alu
at
ed
b
lo
ck
c
h
ain
'
s
im
p
ac
t
o
n
ad
v
an
cin
g
th
e
i
n
teg
r
ity
an
d
r
esil
ien
ce
o
f
elec
to
r
al
p
r
o
ce
s
s
es
ag
ain
s
t
ex
ter
n
al
th
r
ea
ts
.
T
h
eir
f
in
d
in
g
s
r
e
v
ea
l
th
at
th
e
ap
p
licatio
n
o
f
b
lo
ck
ch
ain
tech
n
o
lo
g
y
s
ig
n
i
f
ican
tly
r
ed
u
ce
s
th
e
s
u
s
ce
p
tib
ilit
y
o
f
e
-
v
o
tin
g
s
y
s
tem
s
to
tam
p
er
in
g
an
d
u
n
au
th
o
r
ized
ac
ce
s
s
,
th
u
s
b
o
ls
ter
in
g
v
o
ter
co
n
f
i
d
en
ce
an
d
el
ec
to
r
al
tr
u
s
t.
T
h
r
o
u
g
h
cr
y
p
t
o
g
r
ap
h
ic
v
er
i
f
icatio
n
m
ec
h
an
is
m
s
an
d
d
ec
en
tr
alize
d
co
n
s
en
s
u
s
p
r
o
to
c
o
ls
,
b
lo
ck
c
h
ain
em
er
g
es
as
a
r
o
b
u
s
t
s
af
eg
u
ar
d
ag
ai
n
s
t
cy
b
er
th
r
ea
ts
,
o
f
f
er
in
g
a
p
ar
a
d
ig
m
s
h
if
t
in
th
e
s
ec
u
r
ity
p
a
r
ad
ig
m
o
f
elec
tr
o
n
ic
v
o
tin
g
ac
c
o
r
d
in
g
Dwiv
ed
i
et
a
l.
[
6
]
.
T
h
is
s
tu
d
y
m
o
v
es
b
ey
o
n
d
t
h
e
o
r
etica
l
m
o
d
els
b
y
p
r
ac
tically
test
in
g
in
teg
r
ated
b
lo
ck
c
h
ain
an
d
AI
tech
n
o
lo
g
ies
with
in
an
e
-
v
o
tin
g
f
r
a
m
ewo
r
k
,
y
ield
in
g
in
s
ig
h
ts
in
to
p
er
f
o
r
m
an
ce
,
s
ec
u
r
ity
,
a
n
d
s
ca
lab
ilit
y
en
h
an
ce
m
en
ts
.
I
t
v
alid
ates
th
e
p
r
o
p
o
s
ed
m
o
d
els
an
d
s
ets
a
f
o
u
n
d
atio
n
f
o
r
f
u
tu
r
e
r
esear
ch
f
o
cu
s
ed
o
n
th
e
p
r
a
ctica
l
o
p
tim
izatio
n
o
f
th
ese
tech
n
o
lo
g
ies
in
e
-
v
o
tin
g
.
T
h
is
in
teg
r
atio
n
ad
d
r
ess
es
s
ca
lab
ili
ty
an
d
p
r
o
c
ess
in
g
ch
allen
g
es,
s
ig
n
if
ican
tly
ad
v
a
n
cin
g
e
-
v
o
ti
n
g
s
ec
u
r
ity
.
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:
2088
-
8
7
0
8
Th
e
imp
a
ct
o
f b
lo
ck
ch
a
in
a
n
d
a
r
tifi
cia
l in
tellig
en
ce
tech
n
o
lo
g
ies in
…
(
Ju
ma
g
a
liyev
a
A
i
n
u
r
)
6725
3.
M
AT
E
R
I
AL
S AN
D
M
E
T
H
O
DS
I
n
th
e
m
eth
o
d
o
lo
g
y
s
ec
tio
n
o
f
th
is
a
r
ticle,
th
e
co
llab
o
r
atio
n
b
etwe
en
b
l
o
ck
ch
ai
n
tech
n
o
lo
g
y
an
d
ar
tific
ial
in
tellig
en
ce
in
en
h
a
n
cin
g
n
etwo
r
k
s
ec
u
r
ity
is
m
eticu
lo
u
s
ly
ex
p
lo
r
e
d
.
T
h
e
p
r
o
ce
s
s
b
eg
in
s
with
b
lo
ck
ch
ain
'
s
im
p
lem
en
tatio
n
,
p
r
o
v
id
in
g
a
s
ec
u
r
e
,
im
m
u
tab
le
led
g
er
f
o
r
lo
g
g
in
g
n
etwo
r
k
tr
an
s
ac
tio
n
s
a
n
d
ev
en
ts
,
th
u
s
en
s
u
r
in
g
d
ata
in
t
eg
r
ity
a
n
d
tr
an
s
p
ar
e
n
cy
.
T
h
is
d
ec
en
tr
alize
d
s
y
s
tem
o
f
r
ec
o
r
d
-
k
ee
p
in
g
is
p
iv
o
tal
in
p
r
e
v
en
tin
g
u
n
au
th
o
r
ized
d
a
ta
alter
atio
n
s
,
lev
e
r
ag
in
g
cr
y
p
to
g
r
ap
h
ic
h
ash
es
t
o
lin
k
b
l
o
c
k
s
,
an
d
em
p
l
o
y
in
g
co
n
s
en
s
u
s
alg
o
r
ith
m
s
f
o
r
v
ali
d
atio
n
.
C
o
n
cu
r
r
en
tly
,
ar
tific
ial
in
tellig
en
ce
is
d
ep
lo
y
ed
t
o
s
cr
u
tin
ize
n
etwo
r
k
tr
af
f
ic,
u
tili
zin
g
alg
o
r
ith
m
s
li
k
e
th
e
is
o
latio
n
f
o
r
est
to
d
ete
ct
an
o
m
alies
in
d
icativ
e
o
f
p
o
t
en
tial
th
r
ea
ts
.
T
h
is
AI
-
d
r
iv
en
an
aly
s
is
en
ab
les
t
h
e
p
r
o
ac
tiv
e
id
e
n
tific
atio
n
o
f
ir
r
eg
u
lar
p
atter
n
s
an
d
b
e
h
av
io
r
s
with
in
v
ast
d
atasets
,
f
ac
ilit
atin
g
ea
r
ly
in
ter
v
en
tio
n
.
T
h
e
cr
u
x
o
f
th
e
m
et
h
o
d
o
lo
g
y
lies
in
th
e
s
ea
m
less
in
teg
r
atio
n
o
f
th
ese
tech
n
o
lo
g
ies:
Ar
tific
ial
in
tellig
en
ce
'
s
d
etec
tio
n
ca
p
ab
ilit
ies
in
f
o
r
m
th
e
b
lo
c
k
ch
ain
led
g
er
,
wh
er
e
in
cid
en
ts
ar
e
r
ec
o
r
d
e
d
.
T
h
is
co
n
s
tr
u
ctiv
e
c
o
llab
o
r
atio
n
n
o
t
o
n
l
y
b
o
ls
ter
s
th
e
n
etwo
r
k
'
s
d
ef
en
s
e
m
ec
h
an
is
m
s
b
y
co
m
b
in
in
g
ar
tific
ial
in
tellig
en
ce
'
s
d
y
n
am
ic
th
r
ea
t
r
ec
o
g
n
itio
n
with
b
lo
ck
ch
ain
'
s
tam
p
er
-
p
r
o
o
f
l
o
g
g
in
g
i
n
elec
to
r
al
p
r
o
ce
s
s
es,
b
u
t
also
estab
lis
h
es
a
f
r
am
ewo
r
k
f
o
r
o
n
g
o
in
g
ed
u
ca
tio
n
a
n
d
ad
j
u
s
tm
en
t
to
n
ew
cy
b
e
r
th
r
ea
ts
,
em
b
o
d
y
in
g
a
f
o
r
war
d
-
th
in
k
in
g
ap
p
r
o
ac
h
to
n
etwo
r
k
s
ec
u
r
ity
.
T
h
e
f
ir
s
t
s
tag
e
in
v
o
lv
es
th
e
m
eticu
lo
u
s
co
llectio
n
a
n
d
a
n
aly
s
is
o
f
n
etwo
r
k
tr
af
f
ic
d
ata
,
wh
ich
is
ess
en
tial
f
o
r
d
ev
elo
p
in
g
an
d
r
ef
in
in
g
th
e
AI
-
d
r
iv
en
an
o
m
aly
d
etec
tio
n
m
o
d
u
le.
T
o
ac
co
m
p
lis
h
th
is
,
we
u
ti
lize
W
ir
esh
ar
k
,
a
n
etwo
r
k
p
r
o
to
c
o
l
an
aly
ze
r
th
at
ca
p
tu
r
es
an
d
d
is
p
lay
s
th
e
d
ata
p
ac
k
ets
tr
av
er
s
in
g
th
e
n
etwo
r
k
in
r
ea
l
-
tim
e.
T
h
is
a
n
aly
s
is
aid
s
in
th
e
i
d
en
tific
atio
n
o
f
n
o
r
m
al
tr
af
f
ic
p
atter
n
s
an
d
p
o
te
n
tial
s
ec
u
r
ity
th
r
ea
ts
th
at
ar
e
cr
itical
to
th
e
in
teg
r
ity
o
f
e
-
v
o
tin
g
s
y
s
tem
s
.
Fig
u
r
e
1
r
ep
r
esen
ts
th
e
s
y
n
er
g
y
b
etwe
en
b
lo
ck
ch
ai
n
te
ch
n
o
lo
g
y
a
n
d
a
r
tific
ial
in
tellig
en
ce
in
co
n
s
tr
u
ctin
g
a
f
o
r
tifie
d
n
et
wo
r
k
s
ec
u
r
ity
e
n
v
ir
o
n
m
en
t
f
o
r
e
-
v
o
tin
g
s
y
s
tem
s
.
T
h
e
s
ca
tter
p
lo
t
v
iv
id
ly
d
em
o
n
s
tr
ates
th
e
d
etec
tio
n
o
f
an
o
m
alies
m
ar
k
ed
in
r
e
d
ag
ai
n
s
t
th
e
b
ac
k
d
r
o
p
o
f
n
o
r
m
al
tr
a
f
f
ic,
r
ep
r
esen
ted
b
y
b
lu
e
s
tar
s
in
Fig
u
r
e
1
.
T
h
ese
an
o
m
alies,
p
o
ten
tially
in
d
icati
v
e
o
f
cy
b
er
th
r
ea
ts
o
r
f
r
au
d
u
len
t
ac
tiv
ities
with
in
th
e
e
-
v
o
tin
g
s
y
s
tem
,
ar
e
i
d
en
t
if
ied
th
r
o
u
g
h
ar
tific
ial
in
tellig
en
ce
alg
o
r
ith
m
s
d
esig
n
e
d
f
o
r
p
atter
n
r
ec
o
g
n
itio
n
an
d
o
u
tlier
d
etec
tio
n
[
7
]
.
Up
o
n
th
e
id
en
tific
atio
n
o
f
s
u
ch
a
n
o
m
alies,
th
e
co
r
r
esp
o
n
d
in
g
d
a
ta
is
s
u
b
jecte
d
to
a
d
ee
p
er
s
cr
u
tin
y
p
r
o
ce
s
s
in
v
o
l
v
in
g
b
lo
ck
c
h
ain
'
s
im
m
u
tab
le
led
g
er
.
T
h
e
s
u
s
p
icio
u
s
tr
an
s
a
ctio
n
s
ar
e
r
e
co
r
d
e
d
an
d
tim
e
-
s
tam
p
ed
o
n
th
e
b
l
o
c
k
ch
ain
,
e
n
s
u
r
in
g
an
a
u
d
itab
le
tr
ail
o
f
all
ac
tio
n
s
tak
en
i
n
r
esp
o
n
s
e
to
d
etec
ted
th
r
ea
ts
.
Fig
u
r
e
1
.
Netwo
r
k
tr
af
f
ic
a
n
al
y
s
is
u
s
in
g
W
ir
esh
ar
k
T
h
e
d
u
al
-
lay
e
r
ed
ap
p
r
o
ac
h
ill
u
s
tr
ated
h
er
e
s
h
o
wca
s
es
h
o
w
ar
tific
ial
in
tellig
en
ce
ca
n
b
e
lev
er
ag
ed
to
an
aly
ze
n
etwo
r
k
tr
a
f
f
ic
in
an
e
-
v
o
tin
g
c
o
n
tex
t,
p
r
o
v
id
i
n
g
a
f
ir
s
t
lin
e
o
f
d
ef
en
s
e
b
y
p
in
p
o
i
n
tin
g
ir
r
eg
u
lar
ities
s
wif
tly
.
Me
an
wh
ile,
b
lo
ck
ch
a
in
s
er
v
es
as
a
s
ec
o
n
d
ar
y
,
u
n
a
s
s
ailab
le
lay
er
,
m
ain
tain
in
g
a
n
im
m
u
tab
le
r
ec
o
r
d
o
f
ev
en
ts
th
at
f
o
r
tifie
s
th
e
tr
u
s
t
in
th
e
s
y
s
tem
'
s
r
es
ilien
ce
ag
ain
s
t
tam
p
er
in
g
attem
p
ts
[
8
]
.
W
e
ex
p
lo
r
e
h
o
w
th
is
tech
n
o
lo
g
ical
o
r
ch
estra
tio
n
ca
n
b
e
d
ep
lo
y
ed
in
a
r
ea
l
-
wo
r
ld
e
-
v
o
tin
g
s
ce
n
ar
i
o
,
d
etailin
g
th
e
s
tep
s
in
v
o
lv
ed
in
s
ettin
g
u
p
th
e
s
y
s
tem
,
th
e
o
p
e
r
atio
n
al
wo
r
k
f
lo
ws,
an
d
th
e
p
r
o
to
co
ls
f
o
r
h
an
d
lin
g
d
etec
te
d
th
r
ea
ts
.
T
h
e
aim
is
to
d
em
o
n
s
tr
ate
n
o
t
o
n
ly
t
h
e
th
eo
r
etica
l
p
o
ten
tial
o
f
co
m
b
in
i
n
g
b
lo
c
k
ch
ain
an
d
ar
tific
ial
in
tellig
en
ce
,
b
u
t
also
th
e
p
r
ac
tical
im
p
licatio
n
s
an
d
b
en
ef
its
f
o
r
s
ec
u
r
in
g
e
-
v
o
tin
g
s
y
s
tem
s
.
T
h
e
ad
v
an
ce
m
en
t
o
f
e
-
v
o
tin
g
s
ec
u
r
ity
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
7
0
8
I
n
t J E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
14
,
No
.
6
,
Dec
em
b
e
r
20
24
:
6
7
2
3
-
6
7
3
3
6726
m
ea
s
u
r
es
n
ec
ess
itates
a
m
u
lti
-
f
ac
eted
ap
p
r
o
ac
h
th
at
lev
er
a
g
e
s
th
e
d
is
tr
ib
u
ted
n
atu
r
e
o
f
b
l
o
c
k
ch
ain
tech
n
o
lo
g
y
alo
n
g
s
id
e
th
e
an
al
y
tical
p
r
o
we
s
s
o
f
m
ac
h
in
e
lear
n
in
g
.
T
o
h
ar
n
ess
th
ese
ca
p
ab
ilit
ies,
we
p
r
o
p
o
s
e
a
b
lo
ck
c
h
ain
-
b
ased
d
ec
en
tr
alize
d
m
ac
h
in
e
lear
n
in
g
s
y
s
tem
,
wh
ich
is
d
ep
icted
in
Fig
u
r
e
2
.
T
h
is
s
y
s
tem
ar
ch
itectu
r
e
en
h
an
ce
s
th
e
r
o
b
u
s
tn
ess
an
d
r
esil
ien
ce
o
f
th
e
e
-
v
o
tin
g
s
ec
u
r
ity
in
f
r
astru
ctu
r
e
b
y
d
is
tr
ib
u
tin
g
th
e
co
m
p
u
tatio
n
al
a
n
d
an
aly
tical
lo
ad
ac
r
o
s
s
m
u
ltip
le
n
o
d
es.
B
u
ild
in
g
o
n
t
h
e
d
ec
en
t
r
alize
d
ar
c
h
itectu
r
e
p
r
esen
ted
in
Fig
u
r
e
2
,
o
u
r
m
eth
o
d
o
lo
g
y
h
ar
n
ess
es
th
e
s
tr
en
g
th
s
o
f
b
o
th
m
ac
h
in
e
lear
n
in
g
an
d
b
lo
ck
ch
ain
to
cr
ea
te
a
r
esil
ien
t
an
d
ad
ap
tab
le
e
-
v
o
ti
n
g
s
ec
u
r
ity
f
r
am
ewo
r
k
.
E
ac
h
n
o
d
e
with
in
th
is
n
etwo
r
k
s
er
v
es
a
p
iv
o
tal
r
o
le
,
p
er
f
o
r
m
in
g
m
ac
h
in
e
lear
n
in
g
task
s
to
an
aly
ze
v
o
ter
d
ata
an
d
b
eh
av
io
r
,
wh
ile
s
im
u
ltan
eo
u
s
ly
m
ain
tain
in
g
th
e
in
teg
r
ity
o
f
th
e
b
lo
c
k
ch
ain
le
d
g
er
th
r
o
u
g
h
th
e
m
in
i
n
g
p
r
o
ce
s
s
[
9
]
.
Fig
u
r
e
2
.
B
lo
ck
c
h
ain
-
b
ased
d
e
ce
n
tr
alize
d
m
ac
h
in
e
lear
n
in
g
s
y
s
tem
I
n
th
is
d
ec
e
n
tr
alize
d
f
r
am
ew
o
r
k
,
ea
ch
n
o
d
e
f
u
n
ctio
n
s
in
d
ep
en
d
en
tly
y
et
co
h
esiv
ely
,
p
er
f
o
r
m
in
g
s
p
ec
if
ic
r
o
les
in
th
e
s
ec
u
r
ity
a
n
d
an
aly
tics
p
ip
elin
e.
N
o
d
es
a
r
e
eq
u
ip
p
ed
with
m
ac
h
i
n
e
lea
r
n
in
g
m
o
d
u
les
th
at
an
aly
ze
v
o
tin
g
d
ata
to
d
etec
t
an
o
m
alies
an
d
p
atter
n
s
th
at
co
u
ld
in
d
icate
s
ec
u
r
ity
t
h
r
ea
t
s
.
Simu
ltan
eo
u
s
ly
,
th
ese
n
o
d
es
p
ar
tak
e
in
a
b
l
o
ck
ch
ain
n
etwo
r
k
,
co
n
tr
ib
u
tin
g
to
th
e
le
d
g
er
'
s
m
ain
ten
an
ce
b
y
v
alid
atin
g
tr
an
s
ac
tio
n
s
an
d
m
i
n
in
g
n
ew
b
lo
ck
s
.
T
h
is
n
o
t
o
n
ly
d
e
m
o
cr
atize
s
th
e
s
ec
u
r
ity
p
r
o
ce
s
s
b
u
t
also
r
ed
u
ce
s
th
e
r
is
k
s
ass
o
ciate
d
with
ce
n
tr
al
p
o
in
ts
o
f
f
ailu
r
e.
Fig
u
r
e
2
o
u
tlin
es
th
e
in
tr
icate
n
etwo
r
k
o
f
n
o
d
es
th
at
co
llectiv
ely
f
o
r
m
a
d
ef
e
n
s
e
m
ec
h
an
is
m
.
T
h
e
d
iag
r
am
s
h
o
w
s
th
e
in
ter
co
n
n
ec
ted
n
atu
r
e
o
f
th
e
s
y
s
tem
,
wh
er
e
d
ata
f
lo
w
an
d
d
ec
is
io
n
-
m
ak
i
n
g
ar
e
d
ec
en
tr
alize
d
,
an
d
ea
ch
n
o
d
e
is
a
cr
u
cial
s
tak
e
h
o
l
d
er
in
e
n
s
u
r
in
g
th
e
in
teg
r
ity
o
f
th
e
e
-
v
o
tin
g
p
r
o
ce
s
s
.
No
d
e
1
,
d
is
tin
g
u
is
h
ed
b
y
its
ad
d
itio
n
al
m
o
n
ito
r
in
g
r
esp
o
n
s
ib
ilit
ies,
s
er
v
es
as
a
cr
u
cial
o
v
er
s
ig
h
t
m
ec
h
an
is
m
.
I
t
e
n
s
u
r
es
th
e
n
etwo
r
k
'
s
o
p
tim
al
p
er
f
o
r
m
an
ce
a
n
d
th
e
v
alid
ity
o
f
d
ata
u
s
ed
in
ML
p
r
o
ce
s
s
es.
T
h
is
n
o
d
e'
s
an
aly
s
is
co
n
tr
ib
u
tes
t
o
co
n
tin
u
o
u
s
im
p
r
o
v
e
m
en
t,
p
r
o
v
id
i
n
g
in
s
ig
h
ts
th
at
m
ay
en
h
an
ce
th
e
ML
alg
o
r
ith
m
s
o
r
b
l
o
ck
ch
ain
o
p
er
atio
n
s
th
r
o
u
g
h
o
u
t
th
e
n
etwo
r
k
.
I
t
is
th
e
ly
n
ch
p
in
f
o
r
r
ea
l
-
ti
m
e
ad
ap
tab
ilit
y
an
d
s
y
s
tem
ic
r
ef
in
em
en
t,
u
tili
zin
g
d
ata
an
aly
tics
to
in
f
o
r
m
p
r
o
ac
tiv
e
ad
ju
s
tm
en
ts
.
No
d
es
with
in
th
is
n
etwo
r
k
in
d
ep
en
d
en
tly
ex
ec
u
te
ML
a
lg
o
r
ith
m
s
(
ML
.
p
y
)
o
n
t
h
eir
d
atasets
(
Da
ta
s
et.
csv
)
,
f
ac
ilit
atin
g
a
d
is
tr
ib
u
te
d
ap
p
r
o
ac
h
to
an
o
m
aly
d
etec
tio
n
.
B
y
r
u
n
n
i
n
g
t
h
ese
alg
o
r
ith
m
s
,
n
o
d
es
ca
n
id
e
n
tify
ir
r
eg
u
lar
v
o
tin
g
p
atter
n
s
th
at
m
ig
h
t
in
d
icate
f
r
au
d
u
len
t
ac
tiv
ity
o
r
s
ec
u
r
ity
b
r
ea
ch
es.
W
h
en
s
u
ch
an
o
m
alies
ar
e
d
etec
ted
,
th
e
in
f
o
r
m
atio
n
is
cr
y
p
to
g
r
ap
h
ically
s
ec
u
r
ed
a
n
d
r
ec
o
r
d
ed
o
n
t
h
e
b
lo
c
k
ch
ain
(
b
lo
ck
ch
a
in
.
p
y
)
,
en
s
u
r
in
g
a
p
er
m
an
en
t,
tam
p
er
-
p
r
o
o
f
led
g
er
o
f
all
e
v
en
ts
[
1
0
]
–
[
1
3
]
.
T
h
e
m
in
in
g
p
r
o
ce
s
s
at
ea
ch
n
o
d
e
v
alid
ates tr
an
s
ac
tio
n
s
an
d
cr
ea
tes n
ew
b
lo
ck
s
,
th
u
s
p
er
p
et
u
atin
g
th
e
ch
ain
an
d
f
o
r
tif
y
in
g
th
e
s
y
s
tem
'
s
d
ef
en
s
es
ag
ain
s
t
attac
k
s
.
T
h
is
m
in
in
g
ac
tiv
ity
d
o
es
n
o
t
ju
s
t
co
n
tr
ib
u
te
to
b
lo
ck
ch
ain
'
s
g
r
o
wth
;
it
r
ein
f
o
r
ce
s
a
co
n
s
en
s
u
s
o
n
th
e
v
er
ac
ity
o
f
th
e
r
ec
o
r
d
e
d
d
ata,
wh
ich
is
es
s
en
tial
in
m
ain
tain
in
g
th
e
tr
u
s
two
r
th
i
n
e
s
s
o
f
th
e
e
-
v
o
tin
g
s
y
s
tem
.
T
h
e
wo
r
k
f
lo
w
en
ca
p
s
u
lated
in
th
i
s
f
ig
u
r
e
in
d
icate
s
a
s
o
p
h
is
ticated
in
ter
p
lay
b
etwe
en
d
ata
p
r
o
ce
s
s
in
g
an
d
s
ec
u
r
ity
m
ea
s
u
r
es.
T
h
e
u
s
e
o
f
a
u
s
er
in
ter
f
ac
e
(
GUI
u
p
lo
ad
er
)
f
o
r
d
ata
in
p
u
t
an
d
t
h
e
em
p
h
asis
o
n
m
etad
ata
en
s
u
r
e
th
at
d
ata
f
ed
in
to
th
e
Ma
ch
i
n
e
lear
n
in
g
m
o
d
els
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J E
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&
C
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m
p
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I
SS
N:
2088
-
8
7
0
8
Th
e
imp
a
ct
o
f b
lo
ck
ch
a
in
a
n
d
a
r
tifi
cia
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tellig
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ce
tech
n
o
lo
g
ies in
…
(
Ju
ma
g
a
liyev
a
A
i
n
u
r
)
6727
ar
e
co
n
s
is
ten
t
an
d
r
eliab
le.
T
h
e
d
ec
en
tr
aliza
tio
n
o
f
m
in
in
g
ac
tiv
ities
ac
r
o
s
s
s
ev
er
al
n
o
d
es
ex
em
p
lifie
s
th
e
r
o
b
u
s
t
n
atu
r
e
o
f
th
e
s
y
s
tem
,
m
in
im
izin
g
th
e
r
is
k
o
f
s
in
g
le
p
o
in
ts
o
f
f
ailu
r
e
an
d
d
is
tr
ib
u
tin
g
th
e
co
m
p
u
tatio
n
al
lo
ad
ef
f
icien
tly
.
Ou
r
ap
p
r
o
ac
h
ac
k
n
o
wled
g
es
th
e
n
ee
d
f
o
r
d
ata
p
r
iv
ac
y
a
n
d
ef
f
icien
cy
.
T
h
e
o
u
tp
u
ts
o
f
m
ac
h
in
e
lear
n
in
g
m
o
d
els,
w
h
ich
a
r
e
c
r
itical
f
o
r
d
ec
is
io
n
-
m
a
k
in
g
an
d
s
ec
u
r
ity
p
u
r
p
o
s
es,
ar
e
s
to
r
e
d
o
f
f
-
ch
ain
wh
er
e
n
ec
ess
ar
y
.
T
h
is
p
r
ac
tice
n
o
t
o
n
ly
o
p
tim
izes
s
y
s
tem
p
er
f
o
r
m
an
ce
b
u
t
also
alig
n
s
with
r
e
g
u
lato
r
y
a
n
d
eth
ical
s
tan
d
ar
d
s
co
n
ce
r
n
in
g
v
o
ter
p
r
iv
ac
y
.
T
h
is
s
o
p
h
is
ticated
n
etwo
r
k
ar
c
h
itectu
r
e,
lev
er
a
g
in
g
b
lo
ck
c
h
ain
f
o
r
s
ec
u
r
ity
an
d
d
ec
e
n
tr
aliza
tio
n
,
wh
ile
em
p
lo
y
i
n
g
ML
f
o
r
d
ata
an
aly
s
is
an
d
p
r
ed
ictiv
e
m
o
d
elin
g
,
is
m
eticu
lo
u
s
ly
d
esig
n
ed
f
o
r
s
ca
lab
ilit
y
an
d
r
o
b
u
s
t
s
ec
u
r
ity
.
I
t
e
n
ab
les
th
e
s
y
s
tem
to
co
n
d
u
ct
r
o
b
u
s
t
ML
p
r
o
ce
s
s
es
with
o
u
t
o
v
er
b
u
r
d
en
i
n
g
th
e
b
lo
ck
c
h
a
in
,
cr
ea
tin
g
a
h
ar
m
o
n
io
u
s
b
alan
ce
b
etwe
en
c
o
m
p
r
e
h
en
s
iv
e
s
ec
u
r
ity
an
d
o
p
er
atio
n
al
e
f
f
icien
cy
.
Fig
u
r
e
3
en
ca
p
s
u
lates
th
e
in
tr
icate
p
r
o
ce
s
s
f
lo
w
o
f
th
e
d
ec
en
tr
alize
d
m
ac
h
in
e
lear
n
i
n
g
s
y
s
tem
,
in
teg
r
ated
with
in
th
e
b
r
o
a
d
er
co
n
tex
t
o
f
a
b
lo
c
k
ch
ain
n
etwo
r
k
s
p
ec
if
ically
d
esig
n
ed
f
o
r
th
e
e
-
v
o
tin
g
s
ec
u
r
ity
f
r
am
ewo
r
k
[
1
4
]
.
T
h
is
co
n
ce
p
t
u
al
m
o
d
el
h
ig
h
lig
h
ts
th
e
life
c
y
cle
o
f
m
ac
h
in
e
lea
r
n
in
g
f
r
o
m
d
ata
in
g
esti
o
n
an
d
p
r
ep
r
o
ce
s
s
in
g
to
m
o
d
el
tr
ain
i
n
g
,
e
v
alu
atio
n
,
an
d
d
e
p
lo
y
m
e
n
t
in
Fig
u
r
e
3
.
I
t
p
r
esen
ts
a
b
lo
ck
ch
ain
-
p
o
wer
ed
,
d
ec
en
tr
alize
d
m
ac
h
i
n
e
lear
n
i
n
g
f
r
am
ew
o
r
k
d
esig
n
ed
to
en
h
an
ce
co
lla
b
o
r
ativ
e
in
t
r
u
s
io
n
d
etec
tio
n
f
o
r
u
n
m
an
n
ed
ae
r
ial
v
e
h
icles
(
UAVs)
.
T
h
e
p
r
em
is
e
p
u
t
f
o
r
th
b
y
th
e
au
th
o
r
s
is
th
e
h
eig
h
te
n
ed
v
u
ln
er
a
b
ilit
y
o
f
tr
ad
itio
n
al
u
n
m
an
n
ed
ae
r
ial
v
eh
icles
s
y
s
tem
s
to
cy
b
e
r
th
r
ea
ts
,
attr
ib
u
ted
t
o
th
ei
r
r
elian
ce
o
n
ce
n
tr
alize
d
d
ata
p
r
o
ce
s
s
in
g
.
T
h
r
o
u
g
h
th
e
len
s
o
f
d
ec
en
tr
alize
d
p
r
e
d
ictiv
e
an
aly
tics
p
o
wer
ed
b
y
b
lo
ck
c
h
ain
,
th
e
s
tu
d
y
o
u
tlin
es
a
m
eth
o
d
f
o
r
th
e
im
p
lem
en
t
atio
n
an
d
m
u
tu
al
u
s
e
o
f
m
a
ch
in
e
lear
n
in
g
m
o
d
els.
T
h
is
m
eth
o
d
o
l
o
g
y
was
s
p
ec
if
ically
test
ed
th
r
o
u
g
h
co
o
p
er
ativ
e
in
tr
u
s
io
n
d
etec
tio
n
,
v
alid
atin
g
th
e
a
p
p
r
o
ac
h
'
s
r
elev
an
ce
an
d
ef
f
icac
y
f
o
r
u
n
m
an
n
ed
ae
r
ial
v
eh
icles
s
an
d
an
al
o
g
o
u
s
s
ce
n
ar
io
s
.
C
o
m
p
ar
ed
to
tr
ad
itio
n
al
ce
n
tr
alize
d
s
y
s
tem
s
,
th
is
n
o
v
el
d
ec
en
tr
alize
d
m
o
d
el
d
e
m
o
n
s
tr
ated
en
h
an
ce
m
en
ts
in
d
etec
tio
n
ac
cu
r
ac
y
an
d
a
r
ed
u
ct
io
n
in
p
er
f
o
r
m
an
ce
o
v
er
h
ea
d
.
Fu
r
th
er
m
o
r
e,
it
m
in
im
ized
th
e
n
ec
ess
ity
f
o
r
in
ter
-
n
o
d
e
d
ata
e
x
ch
an
g
e,
th
er
e
b
y
e
lev
atin
g
th
e
o
v
e
r
all
d
ata
p
r
iv
ac
y
a
n
d
s
ec
u
r
ity
.
Fu
t
u
r
e
in
q
u
ir
ies
ar
e
s
et
to
e
x
p
lo
r
e
th
e
a
d
ap
tab
ilit
y
a
n
d
r
esil
ien
ce
o
f
th
is
f
r
am
ew
o
r
k
in
u
n
m
an
n
e
d
ae
r
ial
v
e
h
icles
s
ettin
g
s
co
n
f
r
o
n
tin
g
ass
o
r
ted
c
y
b
er
th
r
ea
ts
[
1
5
]
.
T
h
e
d
ia
g
r
am
illu
s
tr
ates
h
o
w
r
aw
d
ata
is
in
itially
u
p
l
o
ad
ed
th
r
o
u
g
h
a
u
s
er
in
te
r
f
ac
e,
p
r
o
ce
s
s
ed
an
d
tr
a
n
s
f
o
r
m
e
d
in
to
a
s
tr
u
ct
u
r
ed
f
o
r
m
at
s
u
itab
le
f
o
r
m
ac
h
in
e
lear
n
in
g
.
T
h
e
m
e
ticu
lo
u
s
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eliab
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AI
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in
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u
lti
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th
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s
in
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an
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m
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ib
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ted
a
p
p
r
o
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h
to
d
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an
aly
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ly
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Fig
u
r
e
3
.
T
h
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f
r
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m
ewo
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t
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e
m
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T
h
e
u
s
e
o
f
o
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f
-
ch
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s
to
r
ag
e
f
o
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th
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m
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els'
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tp
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lects
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g
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tf
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l
b
alan
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b
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tem
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f
icien
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d
th
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o
f
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en
s
itiv
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a
k
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n
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in
th
e
co
n
tex
t o
f
e
-
v
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tin
g
s
ec
u
r
ity
[
1
6
]
.
T
h
e
s
tr
en
g
th
o
f
th
is
m
o
d
el
is
in
its
d
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en
tr
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d
s
tr
u
ctu
r
e,
w
h
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g
r
ea
tly
m
in
im
izes
th
e
r
is
k
o
f
s
in
g
le
p
o
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ts
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f
f
ailu
r
e
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en
h
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ce
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th
e
e
-
v
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tin
g
s
y
s
tem
's
r
esil
ien
ce
ag
ain
s
t
ad
v
an
ce
d
cy
b
er
th
r
ea
ts
.
B
y
lev
er
ag
i
n
g
t
h
e
co
m
b
in
e
d
p
o
wer
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
7
0
8
I
n
t J E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
14
,
No
.
6
,
Dec
em
b
e
r
20
24
:
6
7
2
3
-
6
7
3
3
6728
o
f
d
is
tr
ib
u
ted
co
m
p
u
tin
g
an
d
b
lo
ck
ch
ain
tech
n
o
lo
g
y
,
o
u
r
m
eth
o
d
e
n
s
u
r
es
a
s
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e,
s
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lab
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an
d
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t
in
f
r
astru
ctu
r
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f
o
r
elec
tio
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r
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c
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Fig
u
r
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4
s
h
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alize
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it
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th
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p
h
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in
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r
atio
n
o
f
b
lo
ck
ch
ain
a
n
d
AI
with
in
th
e
r
ea
lm
o
f
s
m
ar
t
cities.
T
h
is
ev
o
lu
tio
n
in
th
e
n
ar
r
ativ
e
i
n
tr
o
d
u
c
es
Fig
u
r
e
4
,
wh
ich
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ito
m
izes
a
co
m
p
r
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en
s
iv
e
s
ec
u
r
ity
f
r
am
ewo
r
k
th
at
alig
n
s
with
th
e
Natio
n
al
I
n
s
titu
te
o
f
Stan
d
a
r
d
s
an
d
T
ec
h
n
o
lo
g
y
(
NI
ST)
s
tan
d
ar
d
s
.
T
h
e
f
o
r
th
co
m
in
g
an
aly
s
is
elu
cid
ates
o
n
a
m
o
d
el
wh
er
e
th
e
co
n
v
er
g
en
ce
o
f
b
lo
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ch
ain
'
s
d
ata
in
teg
r
ity
an
d
AI
'
s
an
aly
tical
p
r
o
wess
co
llectiv
ely
f
o
r
tifie
s
th
e
s
ec
u
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ity
lan
d
s
ca
p
e
o
f
s
m
ar
t
u
r
b
an
en
v
ir
o
n
m
en
ts
.
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h
is
s
e
g
m
en
t
aim
s
to
u
n
r
av
el
th
e
lay
er
ed
ar
ch
itectu
r
e
o
f
s
m
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city
cy
b
er
s
ec
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ity
,
d
em
o
n
s
tr
atin
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a
m
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len
d
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f
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o
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tech
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g
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ch
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Fig
u
r
e
4
.
I
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ated
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ar
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ity
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b
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N
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ates
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p
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f
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ar
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ce
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at
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s
s
y
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ic
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in
Fig
u
r
e
4
.
B
lo
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ch
ain
'
s
attr
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tes
s
u
p
p
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r
t
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n
tr
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d
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y
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tem
in
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,
wh
ile
AI
'
s
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aly
tical
s
tr
en
g
th
s
b
o
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ter
th
e
s
ec
u
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ity
o
f
d
is
tr
ib
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ted
an
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ed
g
e
s
y
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tem
s
.
T
h
is
al
ig
n
m
en
t
with
NI
ST's
f
r
am
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k
in
d
icate
s
a
s
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d
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tr
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ap
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h
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em
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d
d
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g
ad
v
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ce
d
tec
h
n
o
l
o
g
ies
in
to
n
etwo
r
k
s
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r
ity
in
f
r
astru
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r
es.
I
t
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th
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ce
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tu
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o
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el
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ased
o
n
th
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r
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p
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al
,
d
etailed
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e
s
ec
u
r
ity
ar
ch
itect
u
r
e
with
in
a
s
m
ar
t
city
co
n
tex
t.
T
h
is
m
o
d
el
o
r
g
a
n
izes
s
ec
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r
ity
ac
r
o
s
s
th
r
ee
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is
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th
e
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u
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e
d
g
e
s
y
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s
.
C
en
t
r
alize
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s
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tem
s
co
v
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th
e
co
r
e
o
p
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n
al
co
n
tr
o
l c
en
ter
s
th
at
m
an
ag
e
city
wid
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s
er
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lik
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en
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g
y
,
tr
an
s
p
o
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tatio
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,
an
d
co
m
m
u
n
icatio
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s
,
wh
er
e
b
lo
ck
c
h
ain
co
u
ld
b
e
u
t
ilized
to
en
s
u
r
e
th
e
in
teg
r
ity
an
d
r
esil
ien
ce
o
f
th
ese
cr
itical
in
f
r
astru
ctu
r
es.
Dis
tr
ib
u
ted
s
y
s
tem
s
in
th
e
clo
u
d
r
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r
esen
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d
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tr
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p
latf
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m
s
th
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llo
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o
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f
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r
e
s
p
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n
s
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m
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e
n
t
o
f
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er
v
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wh
ich
co
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ld
b
en
ef
it
f
r
o
m
AI
'
s
ca
p
ab
ilit
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to
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aly
ze
c
o
m
p
lex
d
atasets
an
d
o
p
tim
ize
o
p
er
atio
n
s
in
r
ea
l
-
tim
e.
Fin
ally
,
ed
g
e
s
y
s
tem
s
ar
e
clo
s
est
to
th
e
p
h
y
s
ical
d
ev
ices
an
d
s
en
s
o
r
s
.
T
h
e
y
ar
e
v
ital
p
o
in
ts
wh
er
e
AI
ca
n
ass
is
t
in
d
etec
tin
g
cy
b
er
s
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ity
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h
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at
th
e
n
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k
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eter
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n
d
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lo
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ch
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n
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e
s
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r
e,
au
t
h
en
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m
m
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s
.
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en
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d
ata
f
ee
d
s
in
to
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m
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to
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lik
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etwo
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k
(
PAN
)
,
l
o
ca
l
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e
two
r
k
(
L
AN
)
,
an
d
wid
e
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n
etwo
r
k
(
W
AN
)
to
f
ac
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co
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n
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.
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two
lay
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s
f
o
r
m
a
f
o
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f
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th
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ch
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b
ased
d
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tr
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led
g
er
en
s
u
r
es
s
ec
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e
an
d
im
m
u
tab
le
d
ata
s
t
o
r
ag
e.
At
th
e
p
in
n
ac
le,
th
e
I
n
t
er
f
ac
e
L
ay
er
c
o
n
s
is
ts
o
f
u
s
er
-
ce
n
tr
ic
ap
p
licatio
n
s
lik
e
s
m
ar
t
en
e
r
g
y
an
d
h
ea
lth
,
wh
ich
u
tili
ze
AI
f
o
r
d
ata
a
n
a
ly
s
is
an
d
o
p
er
atio
n
al
ef
f
icien
cy
,
en
s
u
r
in
g
s
ec
u
r
e
an
d
in
tellig
en
t
u
r
b
a
n
liv
in
g
.
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t
s
h
o
ws
a
s
tr
atif
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ap
p
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ac
h
wh
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e
ea
ch
tec
h
n
o
lo
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y
la
y
er
ad
d
r
ess
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s
p
ec
if
ic
asp
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ts
o
f
s
ec
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an
d
f
u
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ct
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ality
,
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lm
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atin
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u
s
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o
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ted
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u
ite
o
f
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p
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th
at
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r
e,
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tellig
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t,
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d
in
ter
co
n
n
ec
te
d
.
T
h
is
d
etailed
d
ep
ictio
n
e
x
p
lain
s
h
o
w
b
lo
ck
c
h
ain
an
d
AI
ar
e
r
esh
ap
in
g
n
etwo
r
k
s
ec
u
r
ity
b
y
p
r
o
v
i
d
in
g
a
s
tr
u
ctu
r
ed
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la
y
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a
p
p
r
o
ac
h
to
p
r
o
tectin
g
s
m
ar
t c
ity
ec
o
s
y
s
tem
s
[
1
7
]
.
4.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
Ou
r
s
tu
d
y
'
s
f
in
d
in
g
s
h
ig
h
lig
h
t th
e
s
u
b
s
tan
tial
p
o
ten
tial o
f
in
t
eg
r
atin
g
b
lo
ck
c
h
ain
an
d
AI
tech
n
o
lo
g
ies
in
en
h
an
cin
g
th
e
s
ec
u
r
ity
f
r
am
ewo
r
k
o
f
e
-
v
o
tin
g
s
y
s
tem
s
.
T
h
e
em
p
ir
ical
d
ata
co
r
r
o
b
o
r
ated
th
eo
r
etica
l
ass
er
tio
n
s
th
at
b
lo
ck
c
h
ain
tec
h
n
o
lo
g
y
s
er
v
es
as
a
r
o
b
u
s
t
led
g
er
f
o
r
v
o
te
r
ec
o
r
d
in
g
.
W
h
ile
AI
alg
o
r
ith
m
s
ex
ce
l
at
r
ea
l
-
tim
e
th
r
ea
t d
etec
tio
n
an
d
b
eh
a
v
io
r
al
an
aly
s
is
.
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:
2088
-
8
7
0
8
Th
e
imp
a
ct
o
f b
lo
ck
ch
a
in
a
n
d
a
r
tifi
cia
l in
tellig
en
ce
tech
n
o
lo
g
ies in
…
(
Ju
ma
g
a
liyev
a
A
i
n
u
r
)
6729
T
h
e
ex
p
lo
r
atio
n
in
to
th
e
in
teg
r
atio
n
o
f
b
lo
c
k
ch
ain
an
d
ar
tific
ial
in
tellig
en
ce
tech
n
o
lo
g
ies
with
in
th
e
s
ec
u
r
ity
f
r
am
ewo
r
k
o
f
e
-
v
o
ti
n
g
s
y
s
tem
s
h
as
y
ield
ed
s
ig
n
if
ican
t
in
s
ig
h
ts
.
T
h
r
o
u
g
h
a
d
etailed
an
aly
s
is
o
f
n
etwo
r
k
tr
a
f
f
ic
in
Fig
u
r
e
1
a
n
d
th
e
c
o
n
ce
p
t
u
al
m
o
d
el
f
o
r
th
e
m
ac
h
in
e
lear
n
in
g
p
r
o
ce
s
s
in
Fig
u
r
e
s
3
an
d
4
,
we
h
av
e
u
n
ea
r
th
ed
p
atter
n
s
an
d
i
n
d
icato
r
s
o
f
s
ec
u
r
ity
t
h
r
ea
ts
th
at
AI
alg
o
r
ith
m
s
h
a
v
e
ad
ep
t
ly
id
en
tifie
d
.
T
h
is
r
ea
l
-
tim
e
an
o
m
aly
d
etec
tio
n
is
p
ar
am
o
u
n
t
i
n
e
-
v
o
tin
g
wh
er
e
th
e
in
teg
r
ity
o
f
ea
ch
v
o
te
is
s
ac
r
o
s
an
ct.
B
lo
ck
ch
ain
'
s
co
n
tr
ib
u
tio
n
to
th
is
s
ec
u
r
ity
p
a
r
ad
ig
m
was
p
r
o
f
o
u
n
d
.
As
e
v
id
en
ce
d
b
y
th
e
d
ata
p
r
esen
ted
,
o
n
ce
v
o
tes
wer
e
lo
g
g
ed
in
t
o
th
e
b
l
o
ck
ch
ain
,
th
e
y
b
ec
am
e
im
m
u
t
ab
le,
en
h
an
cin
g
th
e
v
er
ac
it
y
an
d
r
eliab
ilit
y
o
f
th
e
elec
tio
n
p
r
o
ce
s
s
.
T
h
is
tr
an
s
p
ar
en
cy
an
d
in
teg
r
ity
a
r
e
cr
itical
i
n
u
p
h
o
ld
in
g
d
em
o
cr
atic
v
alu
e
s
in
th
e
d
ig
ital e
r
a.
T
h
e
T
ab
le
1
d
em
o
n
s
tr
ated
th
a
t
th
e
in
teg
r
atio
n
o
f
b
lo
ck
c
h
ai
n
an
d
a
r
tific
ial
in
tellig
en
ce
in
to
e
-
v
o
tin
g
s
y
s
tem
s
h
as
d
em
o
n
s
tr
ated
s
u
b
s
tan
tial
im
p
r
o
v
e
m
en
ts
ac
r
o
s
s
s
ev
er
al
k
ey
p
e
r
f
o
r
m
an
ce
m
etr
ics.
Ou
r
r
esear
c
h
in
d
icate
s
a
f
iv
ef
o
ld
in
cr
ea
s
e
i
n
b
lo
ck
ch
ain
tr
an
s
ac
tio
n
th
r
o
u
g
h
p
u
t
f
r
o
m
1
,
0
0
0
to
5
,
0
0
0
tr
an
s
ac
tio
n
s
p
er
h
o
u
r
,
an
d
an
en
h
an
ce
m
e
n
t
in
AI
th
r
ea
t
d
etec
tio
n
ac
cu
r
ac
y
f
r
o
m
8
5
%
to
9
5
%
in
T
ab
le
1
.
T
h
e
ca
p
ab
ilit
y
f
o
r
r
ea
l
-
tim
e
an
o
m
aly
d
etec
tio
n
also
s
aw
a
s
ig
n
if
ican
t
r
is
e,
im
p
r
o
v
i
n
g
th
e
s
y
s
tem
'
s
r
esp
o
n
s
e
r
ate
to
p
o
ten
tial
th
r
ea
ts
b
y
5
0
%.
Ad
d
itio
n
ally
,
i
m
p
r
o
v
em
en
ts
in
s
y
s
tem
s
ca
lab
ilit
y
s
u
g
g
est
th
at
th
e
in
f
r
astru
ctu
r
e
ca
n
n
o
w
s
u
p
p
o
r
t
a
lar
g
er
u
s
er
b
ase
an
d
a
m
o
r
e
c
o
m
p
lex
a
r
r
ay
o
f
d
ata
in
p
u
ts
.
Alo
n
g
s
id
e
th
ese
ad
v
an
ce
m
en
t
s
,
th
er
e
was
a
n
o
ted
r
ed
u
ctio
n
in
co
m
p
u
tatio
n
al
co
s
ts
,
em
p
h
asizin
g
th
e
im
p
r
o
v
e
d
ef
f
icie
n
cy
o
f
th
e
s
y
s
tem
p
o
s
t
-
in
teg
r
atio
n
.
T
h
ese
m
etr
ics
co
llectiv
ely
u
n
d
er
s
co
r
e
th
e
v
alu
e
o
f
in
teg
r
atin
g
b
lo
c
k
ch
ain
a
n
d
AI
i
n
e
-
v
o
tin
g
s
ec
u
r
ity
,
estab
lis
h
in
g
a
s
tr
o
n
g
er
,
m
o
r
e
r
esil
ien
t,
an
d
co
s
t
-
ef
f
ec
tiv
e
ap
p
r
o
ac
h
to
m
ai
n
tain
in
g
th
e
in
teg
r
ity
an
d
r
eli
ab
ilit
y
o
f
th
e
v
o
tin
g
p
r
o
ce
s
s
[
5
]
,
[
1
8
]
,
[
1
9
]
.
T
ab
le
1
.
Per
f
o
r
m
an
ce
m
etr
ics f
o
r
e
-
v
o
tin
g
s
ec
u
r
ity
p
o
s
t in
te
g
r
atio
n
M
e
t
r
i
c
Pre
-
I
n
t
e
g
r
a
t
i
o
n
P
o
st
-
I
n
t
e
g
r
a
t
i
o
n
%
I
mp
r
o
v
e
me
n
t
B
l
o
c
k
c
h
a
i
n
t
r
a
n
s
a
c
t
i
o
n
t
h
r
o
u
g
h
p
u
t
1
,
0
0
0
t
r
a
n
sa
c
t
i
o
n
/
h
o
u
r
5
,
0
0
0
t
r
a
n
sa
c
t
i
o
n
/
h
o
u
r
5
0
0
%
A
I
t
h
r
e
a
t
d
e
t
e
c
t
i
o
n
a
c
c
u
r
a
c
y
8
5
%
9
5
%
1
1
.
8
%
R
e
a
l
-
t
i
me
a
n
o
m
a
l
y
d
e
t
e
c
t
i
o
n
6
0
%
9
0
%
5
0
%
S
y
st
e
m sc
a
l
a
b
i
l
i
t
y
M
e
d
i
u
m
H
i
g
h
Q
u
a
l
i
t
a
t
i
v
e
i
mp
r
o
v
e
me
n
t
C
o
m
p
u
t
a
t
i
o
n
a
l
c
o
s
t
H
i
g
h
M
o
d
e
r
a
t
e
R
e
d
u
c
t
i
o
n
n
o
t
e
d
T
h
is
s
tu
d
y
also
id
en
tifie
d
ar
e
as
r
ip
e
f
o
r
f
u
tu
r
e
in
v
esti
g
atio
n
.
T
h
e
d
em
a
n
d
f
o
r
b
lo
c
k
ch
ain
to
p
r
o
ce
s
s
tr
an
s
ac
tio
n
s
m
o
r
e
s
wif
tly
an
d
f
o
r
AI
to
an
aly
ze
d
ata
with
o
u
t
p
r
o
h
i
b
itiv
e
co
m
p
u
tatio
n
al
co
s
ts
ca
ll
s
f
o
r
f
u
r
t
h
er
r
esear
ch
.
T
h
ese
f
u
tu
r
e
s
tu
d
ie
s
will
b
e
cr
u
cial
in
ac
tu
alizin
g
th
e
th
eo
r
etica
l
p
o
ten
tial
d
em
o
n
s
tr
ated
in
o
u
r
f
in
d
in
g
s
.
Yet,
o
u
r
r
esu
lts
d
id
n
o
t
escap
e
ch
allen
g
es.
Per
f
o
r
m
an
ce
lim
itatio
n
s
em
er
g
ed
as
b
lo
ck
ch
ain
,
wh
ile
s
ec
u
r
e,
g
r
a
p
p
led
with
s
ca
lab
ilit
y
,
an
d
AI
,
th
o
u
g
h
p
o
wer
f
u
l
in
an
aly
s
is
,
s
tr
u
g
g
led
u
n
d
er
t
h
e
weig
h
t
o
f
d
ata
-
in
ten
s
iv
e
o
p
er
atio
n
s
.
T
h
ese
ch
allen
g
es
wer
e
n
o
t
in
s
u
r
m
o
u
n
tab
le,
h
o
we
v
er
.
T
h
ey
in
s
p
ir
ed
in
n
o
v
ativ
e
ap
p
r
o
ac
h
es
to
o
p
tim
izin
g
b
lo
ck
ch
ain
f
o
r
tr
an
s
ac
tio
n
al
ef
f
icien
cy
an
d
r
ef
i
n
in
g
A
I
alg
o
r
ith
m
s
f
o
r
s
p
ee
d
with
o
u
t sacr
if
icin
g
an
aly
tical
d
ep
th
.
Fro
m
Fig
u
r
e
5
,
we
ca
n
co
n
cl
u
d
e
th
at
th
e
in
teg
r
atio
n
o
f
b
l
o
ck
ch
ain
an
d
a
r
tific
ial
in
tellig
en
ce
in
to
e
-
v
o
tin
g
s
y
s
tem
s
m
ar
k
ed
ly
e
n
h
an
ce
s
th
e
s
y
s
tem
'
s
p
er
f
o
r
m
a
n
ce
ac
r
o
s
s
s
ev
er
al
d
im
en
s
io
n
s
.
Mo
s
t
n
o
tab
ly
,
th
e
f
iv
ef
o
ld
in
cr
e
ase
in
tr
an
s
ac
tio
n
th
r
o
u
g
h
p
u
t
s
u
g
g
ests
a
s
y
s
te
m
well
-
eq
u
ip
p
ed
to
h
an
d
le
th
e
d
en
s
e
tr
af
f
ic
o
f
n
atio
n
al
elec
tio
n
s
,
en
s
u
r
in
g
th
at
v
o
ter
th
r
o
u
g
h
p
u
t
d
o
es
not
b
ec
o
m
e
a
b
o
ttlen
ec
k
.
I
t
also
in
d
icate
s
a
s
y
s
tem
ca
p
ab
le
o
f
s
wif
tly
id
en
tify
in
g
an
d
r
esp
o
n
d
in
g
to
s
ec
u
r
ity
th
r
ea
ts
,
wh
ich
is
in
d
is
p
en
s
ab
le
f
o
r
m
ain
tain
in
g
th
e
in
teg
r
ity
o
f
th
e
v
o
tin
g
p
r
o
ce
s
s
in
r
ea
l
-
tim
e.
Fin
ally
,
th
e
s
c
alab
ilit
y
in
d
ex
'
s
d
r
am
atic
r
is
e
in
th
e
in
teg
r
ated
s
y
s
tem
u
n
d
er
s
co
r
es
its
r
o
b
u
s
tn
ess
an
d
ad
a
p
tab
ilit
y
,
wh
ich
a
r
e
v
ital
f
o
r
ac
co
m
m
o
d
atin
g
th
e
ev
o
lv
in
g
d
e
m
an
d
s
o
f
elec
to
r
al
p
r
o
ce
s
s
es
an
d
th
e
v
ar
y
in
g
s
ca
les
at
wh
ich
th
ey
o
cc
u
r
.
T
h
ese
f
in
d
in
g
s
,
s
itu
at
ed
in
th
e
co
n
tex
t
o
f
n
etwo
r
k
s
ec
u
r
ity
f
o
r
e
-
v
o
tin
g
,
s
ig
n
al
a
tr
a
n
s
f
o
r
m
ativ
e
s
h
if
t
to
war
d
s
m
o
r
e
r
esil
ien
t,
ef
f
icien
t,
an
d
s
ec
u
r
e
elec
tio
n
in
f
r
astru
ctu
r
e
,
th
er
e
b
y
r
ein
f
o
r
cin
g
t
h
e
tr
u
s
t
in
an
d
t
h
e
cr
ed
ib
ilit
y
o
f
elec
to
r
al
o
u
tc
o
m
es
[
2
0
]
.
Sy
s
tem
s
ca
lab
ilit
y
was
al
s
o
im
p
r
o
v
ed
,
in
d
icatin
g
th
at
th
e
in
f
r
astru
c
tu
r
e
ca
n
n
o
w
h
an
d
le
lar
g
er
u
s
er
b
ases
an
d
m
o
r
e
co
m
p
lex
d
ata
s
ets.
Mo
r
eo
v
er
,
th
e
in
teg
r
atio
n
led
to
r
e
d
u
ce
d
co
m
p
u
tatio
n
al
co
s
ts
,
m
a
k
in
g
th
is
ad
v
a
n
ce
d
tech
n
o
lo
g
ical
s
o
lu
tio
n
m
o
r
e
co
s
t
-
ef
f
ec
tiv
e
an
d
ad
d
r
ess
in
g
k
ey
co
n
ce
r
n
s
r
eg
ar
d
in
g
th
e
af
f
o
r
d
a
b
ilit
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o
f
s
o
p
h
is
ticated
e
-
v
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tin
g
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y
s
tem
s
.
Fig
u
r
e
6
ef
f
ec
tiv
ely
illu
s
tr
ate
s
th
e
d
is
tr
ib
u
tio
n
o
f
d
if
f
e
r
en
t
ty
p
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o
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cy
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er
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u
r
ity
th
r
ea
ts
id
en
tifie
d
b
y
ar
tific
ial
in
tellig
en
ce
alg
o
r
ith
m
s
d
u
r
in
g
th
e
test
in
g
o
f
e
-
v
o
tin
g
s
y
s
tem
s
.
T
h
is
v
is
u
aliz
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n
is
cr
u
cial
f
o
r
u
n
d
er
s
tan
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i
n
g
th
e
s
p
ec
if
ic
ar
ea
s
wh
er
e
AI
co
n
tr
ib
u
tes
to
en
h
an
cin
g
elec
to
r
al
s
ec
u
r
ity
.
W
h
ich
is
p
ar
ticu
lar
ly
p
er
tin
en
t g
iv
e
n
th
e
d
iv
er
s
e
n
at
u
r
e
o
f
p
o
ten
tial c
y
b
er
th
r
ea
ts
f
ac
ed
d
u
r
i
n
g
elec
tio
n
s
[
2
1
]
.
−
Vo
ter
f
r
au
d
attem
p
ts
(
4
0
%):
T
h
is
s
eg
m
en
t,
r
ep
r
esen
tin
g
t
h
e
lar
g
est
p
r
o
p
o
r
tio
n
,
h
ig
h
lig
h
ts
AI
’
s
cr
itica
l
r
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etec
tin
g
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d
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r
e
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ter
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d
.
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alg
o
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ith
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s
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g
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at
ter
n
s
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d
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m
ay
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icate
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r
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d
u
len
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s
u
ch
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u
p
licate
v
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tes
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r
r
eg
u
lar
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o
tin
g
b
eh
av
io
r
s
,
e
n
s
u
r
in
g
t
h
e
in
teg
r
i
ty
o
f
th
e
v
o
te
co
u
n
t.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
7
0
8
I
n
t J E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
14
,
No
.
6
,
Dec
em
b
e
r
20
24
:
6
7
2
3
-
6
7
3
3
6730
−
Acc
ess
v
io
latio
n
s
(
2
5
%):
T
h
e
s
ec
o
n
d
-
lar
g
est
s
lice
f
o
cu
s
es
o
n
u
n
a
u
th
o
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ize
d
ac
ce
s
s
attem
p
ts
.
AI
s
y
s
tem
s
m
o
n
ito
r
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ce
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s
lo
g
s
an
d
r
ea
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tim
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k
tr
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ic
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ized
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s
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ts
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e
-
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g
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tem
.
T
h
is
in
clu
d
es
i
d
en
tif
y
in
g
p
o
ten
tial
b
r
ea
ch
es
w
h
er
e
in
d
iv
id
u
als
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y
to
ac
ce
s
s
th
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y
s
tem
to
alter
v
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tes o
r
v
iew
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en
s
itiv
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ter
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ata,
th
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s
s
af
eg
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ar
d
in
g
v
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ter
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r
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d
s
y
s
tem
in
teg
r
ity
.
−
Data
tam
p
er
in
g
(
2
0
%):
T
h
is
ca
teg
o
r
y
r
ef
lects
AI
'
s
ab
ili
ty
to
id
en
tify
alter
atio
n
s
in
th
e
d
ataset
th
at
co
u
ld
co
m
p
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m
is
e
th
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elec
tio
n
'
s
o
u
tco
m
es.
B
y
c
o
n
tin
u
o
u
s
ly
v
er
if
y
in
g
d
ata
in
te
g
r
ity
an
d
co
n
s
is
ten
cy
ac
r
o
s
s
th
e
b
lo
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ch
ain
led
g
e
r
,
AI
en
s
u
r
es
th
at
th
e
r
ec
o
r
d
s
r
em
ain
u
n
c
h
a
n
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f
r
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m
th
e
p
o
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n
t
o
f
en
tr
y
t
o
th
e
f
in
al
tally
,
th
u
s
m
ain
tain
in
g
th
e
au
th
e
n
ticity
o
f
th
e
elec
to
r
al
p
r
o
ce
s
s
.
−
Netwo
r
k
in
tr
u
s
io
n
s
(
1
5
%):
T
h
e
s
m
allest
s
lice
r
ep
r
esen
ts
d
etec
tio
n
o
f
n
etwo
r
k
i
n
tr
u
s
io
n
s
in
Fig
u
r
e
6
.
AI
alg
o
r
ith
m
s
ar
e
em
p
lo
y
ed
to
d
etec
t
an
o
m
alies
th
at
m
ay
in
d
icate
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b
er
attac
k
s
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s
u
ch
as
d
is
t
r
ib
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ted
d
e
n
ial
o
f
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er
v
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(
DDo
S)
attac
k
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r
m
alwa
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e
in
f
iltra
tio
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s
,
wh
ich
a
r
e
d
esig
n
ed
to
d
is
r
u
p
t
th
e
v
o
tin
g
p
r
o
ce
s
s
o
r
m
an
ip
u
late
th
e
r
esu
lts
[
2
2
]
–
[
2
6
]
.
C
o
m
p
ar
ed
to
ex
is
tin
g
s
o
lu
tio
n
s
,
th
is
s
tu
d
y
'
s
ap
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licatio
n
o
f
AI
n
o
t
o
n
ly
im
p
r
o
v
ed
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b
u
t
also
th
e
p
r
ec
is
io
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o
f
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u
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ity
m
e
asu
r
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in
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tim
e,
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s
ig
n
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ca
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h
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ce
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en
t
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eth
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th
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im
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ily
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o
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s
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o
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t
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aly
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is
.
De
s
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ite
th
ese
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tr
e
n
g
th
s
,
th
e
s
ca
lab
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o
f
b
lo
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ch
ain
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ain
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a
ch
allen
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e,
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a
r
ticu
lar
ly
d
u
r
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ea
k
d
ata
in
p
u
t
p
er
i
o
d
s
.
Un
ex
p
ec
ted
ly
,
th
e
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te
g
r
atio
n
i
n
itially
p
r
esen
ted
d
ata
b
o
ttlen
ec
k
s
,
wh
ich
wer
e
m
itig
ated
th
r
o
u
g
h
o
p
tim
ized
b
lo
c
k
ch
ain
ar
ch
itectu
r
es.
T
h
is
in
v
esti
g
atio
n
co
n
f
ir
m
s
th
e
tr
an
s
f
o
r
m
ativ
e
p
o
te
n
tial
o
f
b
lo
ck
ch
ain
a
n
d
AI
f
o
r
s
ec
u
r
in
g
e
-
v
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tin
g
s
y
s
tem
s
,
th
u
s
co
n
tr
ib
u
tin
g
s
ig
n
if
ican
tly
to
th
e
in
teg
r
ity
an
d
tr
an
s
p
ar
e
n
cy
r
e
q
u
ir
e
d
in
elec
to
r
al
p
r
o
ce
s
s
es.
Mo
v
in
g
f
o
r
war
d
,
r
esear
ch
s
h
o
u
ld
ex
p
lo
r
e
alter
n
ativ
e
AI
tech
n
iq
u
es
th
at
co
u
l
d
f
u
r
th
er
r
ed
u
ce
laten
cy
a
n
d
ex
p
an
d
b
lo
c
k
ch
ain
'
s
s
ca
lab
ilit
y
.
Ad
d
itio
n
ally
,
lo
n
g
itu
d
in
al
s
tu
d
ies
co
u
ld
v
alid
ate
th
ese
f
in
d
in
g
s
ac
r
o
s
s
m
u
ltip
le
elec
tio
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cy
cles,
p
r
o
v
id
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g
a
m
o
r
e
c
o
m
p
r
e
h
en
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n
d
er
s
tan
d
in
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o
f
th
ei
r
lo
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g
-
ter
m
b
en
e
f
its
an
d
ch
allen
g
es.
Fig
u
r
e
5
.
C
o
m
p
a
r
is
o
n
o
f
tr
ad
it
io
n
al
an
d
b
lo
ck
c
h
ain
-
AI
b
ased
e
-
v
o
tin
g
s
y
s
tem
Fig
u
r
e
6
.
AI
T
h
r
ea
t d
etec
tio
n
ac
cu
r
ac
y
b
r
ea
k
d
o
wn
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:
2088
-
8
7
0
8
Th
e
imp
a
ct
o
f b
lo
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ch
a
in
a
n
d
a
r
tifi
cia
l in
tellig
en
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tech
n
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lo
g
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…
(
Ju
ma
g
a
liyev
a
A
i
n
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r
)
6731
5.
CO
NCLU
SI
O
N
T
h
e
ex
p
l
o
r
atio
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i
n
to
th
e
i
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r
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o
f
b
l
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ch
ain
an
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tific
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in
tellig
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tech
n
o
lo
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with
in
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s
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ig
h
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tr
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r
am
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,
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o
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p
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ld
in
g
d
e
m
o
cr
atic
p
r
in
cip
les
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th
e
d
ig
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T
h
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s
tu
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y
d
em
o
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s
tr
ated
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at
b
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c
h
ain
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ig
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is
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s
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o
ciate
d
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p
er
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n
s
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r
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th
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n
o
n
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iatio
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h
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th
r
o
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ar
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it
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ails
.
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r
r
e
n
tly
,
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tim
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aly
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im
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m
itig
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ital
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o
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p
r
ev
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ity
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es.
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h
e
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y
n
er
g
is
tic
ap
p
licatio
n
o
f
th
ese
tech
n
o
lo
g
ies
n
o
t
o
n
ly
ad
d
r
ess
es
s
ca
lab
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an
d
c
o
m
p
u
tatio
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co
s
t
ch
allen
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es
b
u
t
also
s
u
g
g
ests
p
o
ten
tial
f
o
r
lar
g
er
v
o
te
r
b
ases
an
d
co
m
p
lex
d
ata
s
tr
u
ctu
r
es,
m
ar
k
in
g
it
as
a
s
ca
lab
le
an
d
r
o
b
u
s
t
s
o
lu
tio
n
f
o
r
f
u
tu
r
e
elec
to
r
al
s
y
s
tem
s
.
Ho
wev
er
,
th
e
s
tu
d
y
also
u
n
co
v
e
r
s
ar
ea
s
n
ee
d
in
g
f
u
r
t
h
er
r
ese
ar
ch
,
p
a
r
ticu
lar
ly
in
o
p
tim
izin
g
b
lo
c
k
ch
ain
s
ca
lab
ilit
y
an
d
AI
co
m
p
u
tatio
n
al
e
f
f
icien
cy
to
h
a
n
d
le
in
cr
ea
s
ed
d
ata
v
o
lu
m
es
an
d
co
m
p
lex
n
etwo
r
k
ar
ch
itectu
r
e
s
with
o
u
t
lo
s
in
g
o
p
er
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al
e
f
f
icac
y
.
T
h
is
g
r
o
u
n
d
w
o
r
k
p
o
i
n
ts
to
war
d
s
a
f
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tu
r
e
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e
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v
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g
s
y
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tem
s
ar
e
n
o
t
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ly
s
ec
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r
e
an
d
tr
an
s
p
ar
e
n
t
b
u
t
also
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ig
n
if
ican
tly
m
o
r
e
ef
f
icien
t,
s
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th
e
s
tag
e
f
o
r
o
n
g
o
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g
en
h
a
n
ce
m
en
ts
th
at
co
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ld
ev
en
tu
ally
s
u
p
p
o
r
t
a
wid
e
ar
r
ay
o
f
d
ig
ital
in
f
r
astru
ctu
r
e
ap
p
licatio
n
s
b
ey
o
n
d
e
-
v
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g
,
in
clu
d
in
g
s
m
ar
t
city
f
r
am
ew
o
r
k
s
an
d
d
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e
n
tr
alize
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p
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b
lic
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er
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ices,
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er
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y
b
r
o
ad
e
n
in
g
th
e
s
co
p
e
o
f
f
u
t
u
r
e
r
esear
ch
in
th
ese
f
ield
s
.
RE
F
E
R
E
NC
E
S
[
1
]
V
.
A
g
a
t
e
,
A
.
D
e
P
a
o
l
a
,
P
.
F
e
r
r
a
r
o
,
G
.
Lo
R
e
,
a
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ru
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