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201
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153
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ak
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s
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ar
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ize
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ti
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h
e
m
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co
s
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e
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ig
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ts
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o
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e
m
a
x
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m
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is
d
ef
in
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as
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o
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in
g
m
o
r
e
r
es
u
lt
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th
o
u
t
co
s
t.
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o
p
ti
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p
r
o
b
lem
is
th
e
p
r
o
b
le
m
o
f
f
i
n
d
i
n
g
t
h
e
b
est
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o
lu
t
io
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f
r
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m
all
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ib
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s
o
lu
tio
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s
.
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o
p
ti
m
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n
p
r
o
b
lem
s
ar
e
k
n
ap
s
ac
k
p
r
o
b
lem
,
tr
a
v
elin
g
s
a
les
m
an
,
v
e
h
icle
r
o
u
ti
n
g
p
r
o
b
lem
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J
o
b
Sh
o
p
Sch
e
d
u
li
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g
,
etc.
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o
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ti
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alg
o
r
it
h
m
is
a
p
r
o
ce
s
s
w
h
ic
h
i
s
e
x
ec
u
ted
r
ep
ea
ted
ly
b
y
co
m
p
ar
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n
g
v
ar
io
u
s
r
e
s
u
l
ts
u
n
t
il
ex
ac
t
s
o
lu
tio
n
is
f
o
u
n
d
.
T
h
er
e
ar
e
tw
o
t
y
p
es
o
f
o
p
ti
m
i
za
tio
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alg
o
r
ith
m
s
.
Dete
r
m
i
n
is
tic
A
l
g
o
r
ith
m
s
u
s
e
s
p
ec
if
ic
o
r
d
er
f
o
r
ch
an
g
i
n
g
o
n
e
r
esu
lt
to
o
th
er
.
T
h
ese
al
g
o
r
ith
m
s
ar
e
in
u
s
ed
i
n
s
o
m
e
ti
m
es
an
d
w
h
ic
h
is
ap
p
lied
in
en
g
i
n
ee
r
in
g
d
esi
g
n
p
r
o
b
lem
s
.
Sto
ch
as
tic
A
l
g
o
r
ith
m
s
ar
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a
ch
iev
in
g
p
o
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lar
it
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u
e
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ce
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tain
p
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er
ties
w
it
h
p
r
o
b
a
b
ilis
tic
tr
an
s
latio
n
r
u
les.
T
h
e
b
io
-
in
s
p
ir
ed
(
b
io
lo
g
icall
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in
s
p
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d
)
m
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s
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tio
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s
an
d
also
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ar
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to
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in
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(
i
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s
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p
r
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s
)
,
r
ea
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-
w
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ld
p
r
o
b
lem
s
.
T
h
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b
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et
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o
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s
h
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e
p
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8938
IJ
-
AI
Vo
l.
7
,
No
.
4
,
Dec
em
b
er
201
8
:
1
5
3
–
16
4
154
tr
af
f
ic
r
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w
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u
te
r
Scie
n
ce
an
d
r
o
b
o
tics
.
W
e
s
tu
d
y
b
io
-
in
s
p
ir
ed
al
g
o
r
ith
m
s
in
s
ec
u
r
it
y
,
co
m
p
u
tatio
n
a
l
in
telli
g
e
n
ce
,
in
f
o
r
m
at
io
n
r
etr
ie
v
al,
r
o
b
o
tics
,
m
o
d
eli
n
g
a
n
d
s
i
m
u
latio
n
,
m
ac
h
in
e
lear
n
in
g
,
a
n
d
b
io
lo
g
y
its
e
lf
.
2.
P
RO
B
L
E
M
ST
AT
E
M
E
NT
Mo
s
t
o
f
th
e
co
n
te
m
p
o
r
ar
y
c
o
m
p
u
ter
s
ec
u
r
it
y
r
esear
c
h
wo
r
k
is
b
ased
o
n
I
n
tr
u
s
io
n
d
et
ec
tio
n
is
a
co
m
p
o
n
e
n
t
o
f
d
etec
tio
n
p
r
o
ce
s
s
es.
I
t
tr
ies
to
id
en
tify
if
a
h
o
s
t
is
u
n
d
er
attac
k
o
r
n
o
t.
HI
DS
(
h
o
s
t
I
n
tr
u
s
io
n
Dete
ctio
n
S
y
s
te
m
)
b
ased
o
n
lo
ca
tio
n
f
r
o
m
w
h
ic
h
it
co
llects
d
ata
an
d
a
n
o
m
al
y
b
ased
HI
D
S
(
A
-
HI
D
S).
T
h
e
m
o
s
t
p
o
p
u
lar
ap
p
r
o
ac
h
f
o
r
to
d
ay
'
s
HI
DS
is
s
till
s
i
g
n
atu
r
e
b
ased
.
I
t
p
e
r
f
o
r
m
s
in
tr
u
s
io
n
d
etec
tio
n
b
y
s
ea
r
c
h
in
g
f
o
r
co
n
ten
t
o
r
s
eq
u
e
n
ce
o
f
b
y
tes
i
n
a
s
in
g
le
p
ac
k
et.
T
h
is
ap
p
r
o
ac
h
w
o
r
k
s
w
ell
i
f
th
e
p
atter
n
o
f
attac
k
s
co
u
ld
b
e
f
o
u
n
d
in
ad
v
a
n
ce
.
T
h
is
ap
p
r
o
ac
h
is
r
eliab
le
an
d
h
as
lo
w
f
alse
n
e
g
ati
v
es
r
ate
f
o
r
d
etec
ti
n
g
k
n
o
w
n
attac
k
s
.
Ho
w
e
v
er
,
it
ca
n
n
o
t
d
etec
t
n
e
w
attac
k
s
o
r
m
u
tat
io
n
o
f
k
n
o
w
n
attac
k
s
b
ec
au
s
e
h
a
v
e
n
o
t
b
ee
n
d
is
co
v
er
ed
.
An
o
m
al
y
-
b
ased
d
etec
tio
n
(
A
-
HI
DS)
b
u
ild
s
m
o
d
els
o
f
n
o
r
m
al
b
eh
a
v
io
r
in
a
s
y
s
te
m
,
a
n
d
attem
p
t
to
id
en
ti
f
y
attac
k
s
o
n
d
ev
iat
io
n
s
f
r
o
m
t
h
e
n
o
r
m
al
n
et
w
o
r
k
ac
ti
v
itie
s
.
An
o
m
al
y
-
b
a
s
ed
d
etec
to
r
s
ca
n
d
etec
t
n
e
w
an
d
co
m
p
lete
l
y
u
n
k
n
o
w
n
attac
k
s
b
u
t
m
a
y
h
av
e
h
i
g
h
f
alse p
o
s
it
iv
e
r
ates.
3.
P
RO
P
O
SE
D
SYS
T
E
M
3
.
1
.
B
ee
Sting
ing
B
eha
v
i
o
ur
Ho
n
e
y
b
ee
s
h
a
v
e
t
h
r
ee
ca
s
tes
ar
e
q
u
ee
n
s
,
w
o
r
k
er
s
,
a
n
d
d
r
o
n
es.
Dr
o
n
es
ar
e
m
ale,
w
h
ile
w
o
r
k
er
s
an
d
q
u
ee
n
s
ar
e
f
e
m
ale.
Qu
ee
n
b
ee
w
il
l
s
p
en
d
h
alf
p
er
io
d
o
f
h
er
li
f
e
f
o
r
m
ati
n
g
(
i.e
.
Ou
ts
id
e
o
f
h
iv
e)
an
d
r
e
m
ai
n
i
n
g
lif
eti
m
e
it
la
y
s
e
g
g
s
.
I
t
h
as
s
ti
n
g
er
u
s
ed
to
s
tin
g
o
th
er
q
u
ee
n
b
ee
s
d
u
r
in
g
m
ati
n
g
f
o
r
d
o
m
i
n
an
ce
.
Dr
o
n
e
is
u
s
ed
to
f
in
d
th
e
q
u
ee
n
b
ee
o
n
l
y
f
o
r
m
ati
n
g
,
af
ter
m
ati
n
g
it
w
ill
b
e
d
ea
d
.
I
t
h
as
n
o
s
tin
g
er
.
W
o
r
k
er
s
d
ev
elo
p
in
2
1
d
ay
s
.
T
h
eir
d
u
tie
s
ch
a
n
g
e
u
p
o
n
th
e
b
ee
ag
e
i
n
t
h
e
o
r
d
er
(
b
ir
th
w
it
h
clea
n
i
n
g
o
u
t
t
h
eir
o
w
n
ce
ll
a
f
ter
ea
ti
n
g
th
r
o
u
g
h
th
eir
ca
p
p
ed
b
r
o
o
d
c
ell)
ar
e
f
ee
d
b
r
o
o
d
,
r
ec
eiv
e
n
ec
tar
,
clea
n
h
iv
e,
g
u
ar
d
d
u
t
y
,
s
co
u
t,
o
n
lo
o
k
er
a
n
d
f
o
r
ag
i
n
g
(
e
m
p
lo
y
ed
b
ee
)
.
S
o
m
e
w
o
r
k
er
s
e
m
p
lo
y
i
n
o
th
er
f
u
n
ctio
n
al
b
e
h
av
io
r
s
,
s
u
c
h
as
"
u
n
d
er
tak
i
n
g
"
(
r
em
o
v
in
g
co
r
p
s
es o
f
t
h
eir
n
e
s
t
m
ates
f
r
o
m
i
n
s
id
e
t
h
e
h
i
v
e)
.
Ho
n
e
y
b
ee
s
attac
k
o
n
l
y
to
p
r
o
tect
th
eir
co
lo
n
y
,
b
u
t
w
i
ll
also
attac
k
i
f
th
e
y
ar
e
co
n
ti
n
u
o
u
s
l
y
d
is
tu
r
b
ed
o
u
ts
id
e
th
e
n
es
t.
T
y
p
ical
s
o
u
r
c
es
o
f
attac
k
w
h
ic
h
m
o
tiv
a
tio
n
f
o
r
h
o
n
e
y
b
ee
s
to
ad
d
alar
m
p
h
e
r
o
m
o
n
e,
v
ib
r
atio
n
s
,
ca
r
b
o
n
d
io
x
id
e
,
h
air
,
an
d
d
ar
k
co
lo
r
s
.
Sti
n
g
in
g
i
s
th
e
e
v
e
n
t
u
al
f
i
n
al
ac
t
o
f
a
h
o
n
e
y
b
ee
,
b
ec
au
s
e
a
f
ter
t
h
at
s
h
e
w
il
l
d
ie.
First
th
e
b
ee
b
ec
o
m
es
aler
ted
;
s
h
e
tak
es
o
n
a
g
u
ar
d
in
g
s
ta
n
ce
an
d
ex
ten
d
s
th
e
s
ti
n
g
th
at
r
ec
r
u
its
o
th
er
b
ee
s
b
y
g
e
n
er
ati
n
g
a
lar
m
p
h
e
r
o
m
o
n
e.
Seco
n
d
l
y
,
th
e
b
ee
w
i
ll
s
ea
r
ch
f
o
r
th
e
o
r
ig
i
n
o
f
s
ti
m
u
lu
s
a
n
d
co
n
f
o
r
m
to
w
ar
d
s
it.
Fi
n
al
o
n
e
i
s
s
h
e
w
il
l
attac
k
;
e
m
itti
n
g
a
h
i
g
h
p
itch
e
d
b
u
zz
s
o
u
n
d
an
d
m
a
k
in
g
b
o
d
y
th
r
u
s
t
s
ag
a
in
s
t
t
h
e
o
r
ig
in
o
f
d
is
tu
r
b
an
ce
.
I
n
s
u
c
h
a
p
r
o
tectio
n
ac
tiv
it
y
,
h
o
n
e
y
b
e
es
r
ar
ely
p
u
r
s
u
e
s
ti
m
u
li
f
o
r
lo
n
g
d
is
ta
n
ce
s
(
p
u
r
s
u
e
v
icti
m
s
f
o
r
h
u
n
d
r
ed
s
o
f
m
e
ter
s
)
.
I
f
a
s
tin
g
o
cc
u
r
s
,
t
h
en
t
h
e
b
ee
w
ill
d
ie
s
o
o
n
,
a
f
ter
s
t
in
g
i
n
g
b
ec
au
s
e
t
h
e
s
ti
n
g
is
lef
t
b
eh
i
n
d
th
e
p
r
ed
ato
r
s
an
d
t
h
e
b
ee
ev
is
ce
r
ate
its
el
f
in
f
l
y
i
n
g
a
w
a
y
.
On
ce
th
e
b
ee
’
s
s
tin
g
er
is
in
s
id
e
a
v
i
cti
m
,
it
p
u
m
p
s
o
u
t
m
o
r
e
v
e
n
o
m
an
d
r
elea
s
e
alar
m
p
h
er
o
m
o
n
es.
D
u
r
in
g
t
h
is
ti
m
e,
th
e
s
ti
n
g
in
g
b
ee
w
il
l
s
p
en
d
its
d
y
i
n
g
m
o
m
e
n
t
s
d
is
tu
r
b
i
n
g
i
ts
v
icti
m
b
y
f
l
y
i
n
g
ar
o
u
n
d
its
h
ea
d
as if
it
w
er
e
g
o
in
g
to
s
ti
n
g
(
attac
k
)
ag
ain
t
h
e
v
icti
m
.
3
.
2
.
B
ee
Sting
ing
B
eha
v
i
o
ur
I
n
th
is
p
r
o
p
o
s
ed
alg
o
r
ith
m
,
as
it
h
as
alr
ea
d
y
b
ee
n
m
e
n
tio
n
ed
,
an
alg
o
r
ith
m
b
ased
o
n
th
e
s
tin
g
in
g
b
eh
av
io
r
o
f
h
o
n
e
y
b
ee
is
p
r
es
en
ted
.
T
h
e
g
en
er
al
s
tep
s
o
f
t
h
e
p
r
o
p
o
s
ed
n
o
v
el
o
p
tim
izatio
n
alg
o
r
ith
m
b
ased
o
n
b
ee
s
tin
g
in
g
b
eh
a
v
io
r
ar
e
p
r
esen
ted
in
F
i
g
u
r
e
1.
T
h
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
is
n
o
v
el
o
p
tim
izatio
n
alg
o
r
ith
m
b
ase
d
o
n
th
e
s
tin
g
i
n
g
b
eh
av
io
r
o
f
h
o
n
e
y
b
ee
.
T
h
e
n
o
v
el
o
p
ti
m
izatio
n
alg
o
r
i
th
m
b
ased
o
n
s
ti
n
g
in
g
b
eh
a
v
i
o
r
o
f
b
ee
is
a
p
o
p
u
latio
n
b
ase
d
s
ea
r
ch
al
g
o
r
ith
m
in
s
p
ir
ed
b
y
t
h
e
n
at
u
r
al
s
t
in
g
i
n
g
b
eh
a
v
io
r
o
f
h
o
n
e
y
b
ee
.
B
ee
s
ar
e
s
p
ec
ies
t
h
at
ad
ap
t
to
t
h
e
e
n
v
ir
o
n
m
e
n
t
ea
s
il
y
,
s
o
o
r
g
an
ized
s
o
ciet
y
i
s
g
en
er
at
ed
.
T
h
e
h
iv
e
o
f
th
e
h
o
n
e
y
b
ee
p
r
o
tect
f
r
o
m
m
a
n
y
p
r
ed
ato
r
s
(
I
n
s
ec
ts
)
s
u
c
h
as
a
n
t
s
,
w
a
s
p
s
,
an
d
o
t
h
er
h
i
v
e
b
ee
s
ar
e
in
tr
u
d
er
s
,
as
w
ell
as
m
a
n
y
m
a
m
m
als ar
e
b
ea
r
s
,
s
k
u
n
k
s
,
m
ice,
an
d
h
u
m
an
s
.
T
h
e
attac
k
b
eh
a
v
io
r
o
f
b
ee
s
is
p
r
o
tectiv
e
to
ce
r
tain
s
ti
m
u
l
i th
at
s
i
g
n
al
t
h
e
co
lo
n
y
is
i
n
d
an
g
er
.
A
b
ee
w
ill
r
ar
el
y
s
t
in
g
w
h
e
n
i
t
is
a
w
a
y
f
r
o
m
th
e
h
iv
e
f
o
r
ag
i
n
g
o
n
p
o
llen
,
n
ec
tar
o
r
w
ater
an
d
also
a
b
ee
s
tin
g
i
f
it
is
h
a
n
d
led
r
o
u
g
h
l
y
.
Ven
o
m
i
s
g
e
n
er
ated
f
r
o
m
t
h
e
w
o
r
k
er
's
v
e
n
o
m
g
lan
d
an
d
th
at
is
s
to
r
ed
in
th
e
v
en
o
m
s
ac
,
w
h
ic
h
i
s
f
illed
w
it
h
in
1
4
d
ay
s
a
f
ter
th
e
ir
b
ir
th
.
T
h
e
ag
e
d
is
tr
ib
u
tio
n
o
f
th
e
b
ee
s
in
a
h
i
v
e
is
r
ele
v
a
n
t,
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
AI
I
SS
N:
2252
-
8938
A
N
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w
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y
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h
e
f
ir
s
t
s
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to
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r
m
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escr
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n
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e
h
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d
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h
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g
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e
in
th
e
o
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b
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.
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in
s
id
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h
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v
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T
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in
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8938
IJ
-
AI
Vo
l.
7
,
No
.
4
,
Dec
em
b
er
201
8
:
1
5
3
–
16
4
156
T
h
e
n
u
m
b
er
o
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w
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n
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n
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ll
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latio
n
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n
C
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lo
n
y
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d
ep
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s
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v
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m
aller
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h
a
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in
h
u
n
ti
n
g
t
h
an
lar
g
er
co
lo
n
ies
m
o
d
eled
as t
h
e
f
o
llo
w
in
g
E
q
u
atio
n
5
.
n
Hun
t
er
s
=
n
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o
l
o
n
y
.
0
.
0
7
95
n
Co
l
o
ny
0
.
1309
−
1
.
22
(
5
)
3
.
3
.
F
l
o
w
cha
r
t
f
o
r
P
ro
po
s
ed
Sy
s
t
e
m
T
h
e
b
elo
w
f
lo
w
c
h
ar
t
r
ep
r
esen
t
h
o
w
b
ee
s
ar
e
p
r
o
tect
th
eir
h
iv
e
b
y
u
s
in
g
s
t
in
g
i
n
g
b
eh
a
v
io
r
is
u
s
ed
in
o
p
tim
izatio
n
al
g
o
r
ith
m
to
i
m
p
r
o
v
e
th
e
p
er
f
o
r
m
an
ce
o
f
t
h
e
b
io
-
in
s
p
ir
ed
alg
o
r
ith
m
.
W
o
r
k
er
b
ee
s
d
u
ties
ch
a
n
g
e
u
p
o
n
th
e
b
ee
ag
e
in
th
e
o
r
d
er
(
b
ir
th
w
it
h
clea
n
i
n
g
o
u
t
th
e
ir
o
w
n
ce
ll
af
ter
ea
tin
g
th
r
o
u
g
h
th
eir
ca
p
p
ed
b
r
o
o
d
ce
ll)
ar
e
f
ee
d
b
r
o
o
d
,
r
ec
eiv
e
n
ec
tar
,
clea
n
h
iv
e,
g
u
ar
d
d
u
t
y
,
s
c
o
u
t,
o
n
lo
o
k
er
an
d
f
o
r
ag
i
n
g
(
e
m
p
lo
y
ed
b
ee
)
.
So
m
e
w
o
r
k
er
s
e
m
p
lo
y
i
n
o
th
er
f
u
n
c
ti
o
n
al
b
eh
a
v
io
r
s
,
s
u
ch
as
clea
n
i
n
g
co
r
p
s
es
o
f
th
e
ir
n
e
s
t
m
ates
f
r
o
m
i
n
s
id
e
t
h
e
h
iv
e.
T
h
is
s
ec
tio
n
d
e
s
cr
ib
es
ab
o
u
t
s
tin
g
i
n
g
b
eh
a
v
io
r
o
f
b
ee
.
I
n
Ho
n
e
y
b
ee
co
lo
n
y
,
g
u
ar
d
b
ee
s
ar
e
m
o
n
ito
r
in
g
t
h
e
en
tr
an
ce
to
t
h
eir
h
i
v
e
f
o
r
i
n
tr
u
d
er
s
.
Gu
ar
d
b
ee
s
ar
e
s
ti
n
g
f
o
r
th
r
ee
r
ea
s
o
n
s
.
First
o
n
e
is
in
tr
u
d
er
s
,
Ho
n
e
y
b
ee
s
b
eh
av
e
d
ef
e
n
s
i
v
el
y
w
h
e
n
i
n
tr
u
d
er
ar
e
n
ea
r
.
W
h
ile
m
o
n
ito
r
i
n
g
,
if
g
u
ar
d
b
ee
s
ar
e
f
in
d
in
tr
u
d
er
f
o
r
ex
a
m
p
le
p
r
e
y
,
th
en
it w
ill
s
i
g
n
al
t
h
e
i
n
tr
u
d
er
an
d
also
r
elea
s
e
alar
m
p
h
er
o
m
o
n
e
to
o
th
er
b
ee
s
.
I
f
t
h
e
p
r
o
ce
s
s
is
co
n
ti
n
u
ed
,
th
e
n
it
w
i
ll st
i
n
g
th
e
i
n
tr
u
d
er
.
Q
u
e
e
n
,
D
r
o
n
e
,
w
o
r
k
e
r
T
a
s
k
c
a
n
b
e
a
s
s
i
g
n
e
d
t
o
t
h
e
w
o
r
k
e
r
s
s
u
c
h
a
s
s
c
o
u
t
,
o
n
l
o
o
k
e
r
a
n
d
e
m
p
l
o
y
e
d
b
e
e
s
S
e
c
u
r
e
I
l
i
v
e
D
e
t
e
c
t
a
n
y
a
b
n
o
r
m
a
l
a
c
t
i
v
i
t
y
A
l
e
r
t
B
e
e
s
/
W
a
r
n
S
o
u
r
c
e
O
n
o
c
c
u
r
r
e
n
c
e
o
f
a
n
y
d
i
s
t
u
r
b
a
n
c
e
No
No
Y
e
s
C
o
m
m
u
n
i
c
a
t
e
w
i
t
h
W
o
r
k
e
r
B
e
e
s
L
o
c
a
t
e
a
n
d
m
a
r
k
t
h
e
t
h
r
e
a
t
S
t
i
n
g
/
a
t
t
a
c
k
t
h
e
t
h
r
e
a
t
I
n
c
r
e
a
s
e
t
h
e
a
t
t
a
c
k
o
n
t
h
e
t
h
r
e
a
t
w
i
t
h
r
e
l
e
a
s
e
m
o
r
e
p
h
e
r
o
m
o
n
e
C
h
e
c
k
t
h
e
d
i
s
t
u
r
b
a
n
c
e
o
v
e
r
No
Y
e
s
Fig
u
r
e
2
.
Flo
w
c
h
ar
t o
f
th
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
Seco
n
d
o
n
e
is
o
th
er
h
iv
e
b
ee
s
;
g
u
ar
d
b
ee
s
ar
e
w
o
n
’
t
allo
w
o
th
er
h
iv
e
b
ee
b
ec
au
s
e
th
e
y
w
ill
r
o
b
h
o
n
ey
,
p
o
llen
an
d
n
ec
tar
.
T
h
ey
id
en
t
if
y
t
h
e
o
th
er
h
i
v
e
b
ee
s
b
ased
o
n
p
h
er
o
m
o
n
e
(
i.e
ea
ch
h
i
v
e
co
n
tain
s
a
u
n
iq
u
e
p
h
er
o
m
o
n
e)
b
y
u
s
i
n
g
g
u
ar
d
b
ee
s
’
s
e
n
s
i
n
g
an
te
n
n
a
s
.
I
f
o
th
er
b
ee
s
ar
e
c
o
n
tin
u
ed
to
en
ter
th
e
h
iv
e
th
e
n
th
e
y
w
ill
s
tin
g
o
th
er
b
ee
.
T
h
ir
d
o
n
e
is
to
p
r
o
tect
o
u
r
s
elf
f
r
o
m
a
n
y
o
th
er
w
h
ile
g
at
h
e
r
in
g
p
o
lle
n
an
d
n
ec
tar
.
Ho
n
e
y
b
ee
s
ar
e
ca
p
ab
le
to
s
tin
g
o
n
l
y
o
n
ce
.
B
ec
au
s
e
s
ti
n
g
er
s
co
n
s
i
s
t
o
f
b
ar
b
s
an
d
ar
e
attac
h
ed
to
t
h
e
w
o
r
k
er
’
s
i
n
test
i
n
e,
t
h
e
y
d
etac
h
f
r
o
m
t
h
e
s
ti
n
g
i
n
g
b
ee
’
s
b
o
d
y
af
ter
attac
k
in
g
a
v
ic
ti
m
.
Af
ter
s
tin
g
i
n
g
,
h
o
n
e
y
b
ee
w
il
l
d
ie
s
o
o
n
af
ter
tr
an
s
f
er
r
in
g
it
s
v
e
n
o
m
;
p
h
er
o
m
o
n
e
s
r
e
leased
at
t
h
e
ti
m
e
o
f
attac
k
w
i
ll
alar
m
an
d
s
ti
m
u
lat
e
o
th
er
w
o
r
k
er
b
ee
s
to
attac
k
d
escr
ib
ed
in
th
e
F
i
g
u
r
e
2
.
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
AI
I
SS
N:
2252
-
8938
A
N
o
ve
l O
p
timiz
a
tio
n
A
lg
o
r
ith
m
B
a
s
ed
o
n
S
tin
g
in
g
B
eh
a
vi
o
r
o
f B
ee
(
S
.
Ja
ya
l
a
ksh
mi
)
157
4.
P
E
RF
O
RM
ANCE E
VA
L
U
AT
I
O
N
4
.
1
.
I
ntr
us
io
n De
t
ec
t
io
n Sy
s
t
e
m
I
n
tr
u
s
io
n
is
t
h
e
s
et
o
f
ac
tio
n
s
t
h
at
atte
m
p
t
s
to
co
m
p
r
o
m
is
e
i
n
teg
r
it
y
,
co
n
f
id
e
n
tialit
y
o
r
a
v
ai
lab
ilit
y
o
f
n
et
w
o
r
k
r
eso
u
r
ce
s
;
w
h
ile
a
n
i
n
tr
u
d
er
is
a
n
y
u
s
er
o
r
g
r
o
u
p
o
f
u
s
er
s
w
h
o
i
n
itiate
s
s
u
c
h
in
tr
u
s
i
v
e
ac
tio
n
.
An
I
n
tr
u
s
io
n
Dete
ctio
n
S
y
s
te
m
is
en
g
i
n
ee
r
ed
to
g
en
er
ate
an
aler
t
w
h
en
it
o
b
s
er
v
es
p
o
ten
tiall
y
m
alicio
u
s
tr
af
f
ic.
I
t
m
o
n
ito
r
s
p
ac
k
ets
f
r
o
m
n
et
w
o
r
k
co
n
n
ec
tio
n
s
a
n
d
d
eter
m
i
n
es
i
f
it
is
a
n
i
n
tr
u
s
i
v
e
ac
ti
v
it
y
o
r
n
o
t.
On
ce
a
n
i
n
tr
u
s
io
n
is
d
etec
ted
,
th
e
I
DS sim
p
l
y
p
e
r
f
o
r
m
s
o
n
e
o
f
th
e
f
o
llo
w
i
n
g
ac
tio
n
s
: (
a)
L
o
g
s
in
a
m
es
s
ag
e
i
n
to
s
y
s
te
m
a
u
d
it f
ile
to
b
e
later
an
al
y
ze
d
b
y
n
et
w
o
r
k
s
ec
u
r
it
y
ex
p
er
ts
,
(
b
)
Sen
d
e
m
ail
aler
t
to
a
n
et
w
o
r
k
ad
m
i
n
is
tr
ato
r
s
,
an
d
(
c)
Sto
p
s
s
u
c
h
co
n
n
ec
tio
n
to
en
d
an
in
tr
u
d
er
'
s
a
ttack
(
a
s
p
lace
d
u
n
d
er
I
n
tr
u
s
io
n
P
r
ev
en
tio
n
S
y
s
te
m
)
a
m
o
n
g
s
t
m
a
n
y
o
th
er
f
u
n
ctio
n
s
.
I
n
tr
u
s
io
n
Dete
ctio
n
S
y
s
te
m
s
(
I
DS)
ar
e
s
ec
u
r
it
y
to
o
ls
th
at
p
r
o
v
id
ed
to
s
tr
en
g
t
h
en
t
h
e
s
ec
u
r
it
y
o
f
co
m
m
u
n
icatio
n
a
n
d
in
f
o
r
m
a
ti
o
n
s
y
s
te
m
s
.
T
h
is
ap
p
r
o
ac
h
is
s
i
m
ilar
to
o
th
er
m
ea
s
u
r
es
s
u
ch
a
s
an
ti
v
ir
u
s
s
o
f
t
w
ar
e,
f
ir
e
w
all
s
an
d
ac
ce
s
s
co
n
tr
o
l
s
ch
e
m
e
s
.
I
t
i
s
d
iv
id
ed
i
n
to
a
n
an
o
m
al
y
d
etec
tio
n
s
y
s
te
m
an
d
s
ig
n
at
u
r
e
d
etec
tio
n
s
y
s
te
m
[
3
]
.
T
h
e
s
ig
n
at
u
r
e
b
ased
d
etec
tio
n
id
en
tif
ies
tr
af
f
ic
d
ata
w
h
ich
is
to
b
e
d
an
g
er
o
u
s
attac
k
w
h
er
e
an
o
m
al
y
d
etec
tio
n
co
m
p
ar
es
ac
tiv
ities
ag
ain
s
t
a
n
o
r
m
al
b
eh
a
v
io
r
.
H
y
b
r
id
in
tr
u
s
io
n
d
etec
tio
n
s
y
s
te
m
s
co
m
b
in
e
th
e
tech
n
iq
u
es
o
f
b
o
th
t
h
ese
ap
p
r
o
ac
h
es.
E
ac
h
tec
h
n
iq
u
e
h
as
i
ts
o
w
n
ad
v
a
n
ta
g
es
a
n
d
d
is
ad
v
an
ta
g
es.
T
h
e
ad
v
an
ta
g
e
o
f
an
o
m
al
y
d
etec
tio
n
s
y
s
te
m
as
f
o
llo
w
s
.
Firs
tl
y
,
th
e
y
ar
e
ca
p
ab
le
o
f
d
etec
tin
g
i
n
s
id
er
atta
ck
s
.
Fo
r
e
x
a
m
p
le
i
f
an
y
u
s
er
is
u
s
i
n
g
an
y
s
to
le
n
ac
co
u
n
t
a
n
d
p
er
f
o
r
m
s
u
c
h
ac
ti
o
n
s
th
a
t
ar
e
b
ey
o
n
d
n
o
r
m
al
p
r
o
f
i
le
o
f
t
h
e
u
s
er
,
a
n
alar
m
w
il
l
b
e
g
e
n
er
ated
b
y
t
h
e
an
o
m
al
y
d
etec
tio
n
s
y
s
te
m
.
Se
co
n
d
l
y
,
t
h
e
d
etec
tio
n
s
y
s
te
m
i
s
b
ased
o
n
c
u
s
to
m
m
ad
e
p
r
o
f
iles
.
I
t
b
ec
o
m
es
v
er
y
d
if
f
ic
u
lt
f
o
r
an
attac
k
er
to
ca
r
r
y
o
u
t
an
y
ac
ti
v
it
y
w
it
h
o
u
t
s
ettin
g
o
f
f
a
n
alar
m
.
Fin
all
y
,
i
t
ca
n
d
etec
t
t
h
e
attac
k
s
t
h
at
ar
e
p
r
ev
io
u
s
l
y
n
o
t
k
n
o
wn
.
An
o
m
al
y
d
etec
tio
n
s
y
s
te
m
s
lo
o
k
f
o
r
a
n
o
m
alo
u
s
ev
en
t
s
r
ath
er
t
h
an
t
h
e
attac
k
s
.
Ma
n
y
HI
DS
e
m
p
lo
y
tec
h
n
iq
u
e
s
f
o
r
b
o
th
s
ig
n
at
u
r
e
an
d
an
o
m
a
l
y
b
ased
I
DS.
Sig
n
at
u
r
e
b
ased
HI
DS
ca
n
o
n
l
y
d
er
iv
e
f
r
o
m
w
ell
k
n
o
w
n
a
ttack
s
,
w
h
er
ea
s
an
o
m
al
y
I
D
S
ca
n
d
er
iv
e
f
r
o
m
b
o
th
u
n
k
n
o
w
n
an
d
k
n
o
w
n
attac
k
s
.
B
ased
o
n
th
is
r
ea
s
o
n
,
I
h
av
e
ch
o
s
en
t
h
e
an
o
m
al
y
tec
h
n
iq
u
e
in
th
e
p
r
o
p
o
s
ed
s
y
s
te
m
.
B
asicall
y
,
t
h
e
an
o
m
al
y
in
tr
u
s
io
n
d
etec
tio
n
tec
h
n
iq
u
e
ca
n
b
e
ca
te
g
o
r
ized
in
to
t
h
r
ee
ca
teg
o
r
ies:
1
)
s
tati
s
ticall
y
b
a
s
ed
,
2
)
k
n
o
w
led
g
e
b
ased
.
T
h
e
tr
ad
itio
n
al
d
etec
tio
n
m
e
th
o
d
is
al
s
o
as
ca
lled
b
eh
av
io
r
al
o
r
s
tatis
tical
a
n
o
m
a
l
y
d
etec
tio
n
.
I
t
s
elec
ts
k
e
y
d
ata
ab
o
u
t
n
et
w
o
r
k
tr
af
f
ic
as
b
eh
av
io
r
to
r
ec
o
g
n
ize
th
e
r
eg
u
lar
ac
ti
v
ities
[
1
]
.
A
n
o
t
h
er
an
o
m
al
y
tech
n
iq
u
e
is
k
n
o
w
led
g
e
b
ased
an
o
m
al
y
d
etec
tio
n
w
h
ic
h
co
m
p
r
o
m
i
s
e
o
f
s
et
o
f
r
u
le
s
.
T
h
ese
s
et
o
f
r
u
les
ar
e
th
e
b
asi
s
o
f
t
h
e
d
esire
d
m
o
d
el
th
a
t d
eter
m
i
n
e
t
h
e
s
y
s
te
m
b
eh
a
v
io
r
[
2
]
.
An
o
m
al
y
d
etec
tio
n
is
al
s
o
ca
lled
a
h
y
b
r
id
d
etec
tio
n
s
y
s
te
m
.
I
t is a
m
e
th
o
d
to
d
etec
tin
g
t
h
e
p
atter
n
s
i
n
a
d
ata
k
n
o
w
led
g
e
w
h
o
s
e
ac
ti
v
it
y
is
n
o
t
n
a
tu
r
al
o
n
ce
r
tai
n
co
n
d
itio
n
.
T
h
ese
u
n
e
x
p
ec
ted
b
eh
av
io
r
s
ar
e
also
ter
m
ed
as
a
n
o
m
alie
s
o
r
o
u
tlier
s
.
T
h
e
an
o
m
alie
s
ar
e
n
o
t
al
w
a
y
s
co
n
s
id
er
ed
as
a
n
attac
k
b
u
t
it
id
en
ti
f
ies
ab
n
o
r
m
al
b
eh
av
io
r
w
h
ic
h
is
p
r
ev
io
u
s
l
y
n
o
t
k
n
o
w
n
.
I
t
m
a
y
o
r
m
a
y
n
o
t
b
e
h
ar
m
f
u
l.
T
h
e
an
o
m
a
l
y
d
ete
ctio
n
p
r
o
v
id
es
v
er
y
s
ig
n
i
f
ica
n
t
a
n
d
cr
itical
i
n
f
o
r
m
atio
n
i
n
v
ar
io
u
s
ap
p
licatio
n
s
,
f
o
r
ex
a
m
p
le
C
r
ed
it
ca
r
d
th
e
f
ts
o
r
id
en
tit
y
th
e
f
t
s
[
4
]
.
Min
i
n
g
tec
h
n
iq
u
e
s
ar
e
u
s
ed
to
an
al
y
z
in
g
t
h
e
d
ata
b
y
p
r
ed
ict
r
elatio
n
s
h
ip
b
et
w
ee
n
d
ata.
T
h
ese
in
clu
d
e
cl
u
s
ter
i
n
g
,
class
i
f
icatio
n
an
d
m
ac
h
i
n
e
b
ased
lear
n
in
g
tech
n
iq
u
e
s
.
H
y
b
r
id
ap
p
r
o
ac
h
es
ar
e
also
b
ein
g
cr
ea
ted
in
o
r
d
er
to
attain
h
ig
h
er
lev
el
o
f
ac
c
u
r
ac
y
o
n
d
etec
tin
g
a
n
o
m
alie
s
.
I
n
th
i
s
ap
p
r
o
ac
h
th
e
au
t
h
o
r
s
tr
y
to
co
m
b
in
e
e
x
is
ti
n
g
d
ata
m
i
n
in
g
al
g
o
r
ith
m
s
to
d
er
iv
e
b
etter
r
esu
lts
.
T
h
u
s
d
etec
tin
g
th
e
ab
n
o
r
m
al
o
r
u
n
ex
p
ec
ted
b
eh
av
io
r
o
r
an
o
m
al
ies
w
il
l
y
ield
to
s
t
u
d
y
a
n
d
ca
teg
o
r
ize
it in
to
n
e
w
t
y
p
e
o
f
attac
k
s
o
r
an
y
p
ar
ticu
lar
t
y
p
e
o
f
i
n
tr
u
s
io
n
s
.
4
.
2
.
B
a
s
ic
M
et
ho
do
lo
g
y
o
f
A
no
m
a
ly
Det
ec
t
io
n T
ec
h
niq
ue
A
lt
h
o
u
g
h
d
if
f
er
e
n
t
an
o
m
al
y
a
p
p
r
o
ac
h
es
ex
is
t
s
,
as
s
h
o
w
n
i
n
Fig
u
r
e
3
p
ar
a
m
eter
w
is
e
tr
ain
a
m
o
d
el
p
r
io
r
to
d
etec
tio
n
.
1.
P
a
r
a
m
eter
iz
a
ti
o
n
:
P
r
e
p
r
o
ce
s
s
in
g
d
at
a
in
t
o
a
p
r
e
-
es
ta
b
lis
h
ed
f
o
r
m
ats
s
u
ch
th
at
it
is
ac
ce
p
ta
b
l
e
o
r
in
ac
c
o
r
d
an
ce
w
ith
th
e
t
a
r
g
ete
d
s
y
s
te
m
s
b
eh
av
i
o
r
.
2.
Tr
a
i
n
i
n
g
s
t
a
g
e
:
A
m
o
d
el
is
b
u
ilt
o
n
th
e
b
asis
o
f
n
o
r
m
al
(
o
r
ab
n
o
r
m
al)
b
eh
av
io
r
o
f
th
e
s
y
s
tem
.
I
t
c
an
b
e
b
o
th
m
an
u
al
an
d
au
t
o
m
atic.
3.
Dete
cti
o
n
s
t
a
g
e
:
I
t
is
c
o
m
p
ar
e
d
w
ith
th
e
p
r
e
d
ef
in
e
d
o
b
s
e
r
v
e
d
tr
af
f
ic
a
ctiv
it
ies
w
ith
av
ail
ab
le
d
ata
.
I
f
th
e
d
ev
i
ati
o
n
f
o
u
n
d
ex
ce
e
d
s
(
o
r
i
s
l
ess
th
an
w
h
en
in
th
e
c
ase
o
f
a
b
n
o
r
m
ality
m
o
d
els
)
f
r
o
m
a
p
r
e
d
ef
in
e
d
th
r
esh
o
l
d
th
en
an
al
ar
m
w
ill b
e
t
r
ig
g
er
e
d
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8938
IJ
-
AI
Vo
l.
7
,
No
.
4
,
Dec
em
b
er
201
8
:
1
5
3
–
16
4
158
Mo
n
i
t
o
r
e
d
E
n
v
i
r
o
n
m
e
n
t
T
r
a
i
n
i
n
g
Mo
d
e
l
(
T
e
s
t
i
n
g
)
D
e
t
e
c
t
i
o
n
I
n
t
r
u
s
i
o
n
R
e
p
o
r
t
D
i
s
c
a
r
d
I
n
t
r
u
d
e
r
Mo
n
i
t
o
r
e
d
E
n
v
i
r
o
n
m
e
n
t
Fig
u
r
e
3
.
Me
th
o
d
o
lo
g
y
o
f
An
o
m
a
l
y
Dete
c
tio
n
4
.
3
.
O
A
B
B
S Alg
o
rit
hm
f
o
r
A
-
H
I
DS
T
h
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
f
o
r
an
o
m
a
l
y
b
ased
h
o
s
t i
n
tr
u
s
io
n
d
etec
tio
n
s
y
s
te
m
(
A
-
HI
DS)
w
h
ic
h
is
b
ased
o
n
a
n
o
v
el
o
p
ti
m
izatio
n
al
g
o
r
i
th
m
b
ased
o
n
s
ti
n
g
in
g
b
eh
a
v
i
o
r
o
f
b
ee
.
T
h
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
is
u
s
ed
to
f
i
n
d
th
e
m
alicio
u
s
n
o
d
e
an
d
d
is
ca
r
d
th
e
m
alicio
u
s
n
o
d
e.
T
h
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
m
i
m
ics
th
e
g
u
ar
d
d
u
t
y
o
f
h
o
n
e
y
b
ee
f
o
r
m
o
n
ito
r
in
g
a
n
d
s
ti
n
g
i
n
g
b
e
h
av
io
r
o
f
h
o
n
e
y
b
ee
f
o
r
f
i
n
d
an
d
d
is
ca
r
d
m
alicio
u
s
n
o
d
e.
L
et
‘
X
’
b
e
th
e
p
o
p
u
latio
n
o
f
‘
I
’
in
d
i
v
id
u
a
ls
p
ac
k
ets
(
i
n
d
iv
1
,
in
d
i
v
2
,
in
d
iv
3
,
…in
d
i
v
n
)
.
T
h
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
c
o
n
s
is
t
o
f
t
h
r
ee
m
ai
n
s
tep
s
o
f
m
o
n
ito
r
in
g
th
e
h
o
s
t,
f
i
n
d
in
g
m
alicio
u
s
n
o
d
e,
an
d
d
is
ca
r
d
m
a
licio
u
s
n
o
d
e
wh
ich
is
d
escr
ib
ed
in
th
e
Fi
g
u
r
e
4
.
I
n
th
e
m
o
n
ito
r
in
g
p
h
ase,
I
n
i
tialize
th
e
‘
Xn
’
p
o
p
u
latio
n
a
n
d
‘
D
n
’
g
en
er
ated
d
etec
to
r
s
r
an
d
o
m
l
y
w
h
er
eb
y
‘
n
’
is
th
e
n
u
m
b
er
o
f
p
ac
k
et.
T
h
e
‘
Dn
’
d
etec
to
r
s
m
o
n
ito
r
in
g
th
e
h
o
s
t
an
d
in
co
m
i
n
g
‘
n
’
p
ac
k
ets
(
n
=1
,
2
,
3
,
…
w
b
)
an
d
‘
T
’
is
th
e
to
t
al
n
u
m
b
er
o
f
d
etec
to
r
s
.
T
h
e
d
etec
to
r
f
in
d
s
th
e
m
alicio
u
s
n
o
d
e
b
ased
o
n
th
e
m
alicio
u
s
n
o
d
e.
T
h
e
f
o
r
m
u
la
f
o
r
‘
th
r
es
h
o
ld
v
alu
e
’
a
n
d
m
is
t
h
e
n
u
m
b
er
o
f
g
en
er
ated
d
etec
t
o
r
s
.
Thr
e
s
ho
l
d
va
l
ue
=
∑
f
i
t
n
es
s
of
d
et
ect
o
r
m
i
=
0
m
(
6
)
I
n
f
i
n
d
in
g
th
e
m
alicio
u
s
n
o
d
e
p
h
ase,
let
‘
m
a
x
t
h
er
s
h
o
ld
’
is
th
e
m
a
x
i
m
u
m
t
h
r
es
h
o
ld
v
alu
e
a
n
d
‘
t
h
r
esh
o
ld
’
is
th
e
in
i
tial
th
r
es
h
o
ld
v
alu
e.
I
f
in
it
ial
th
r
es
h
o
l
d
v
alu
e
o
f
th
e
p
ac
k
et
is
g
r
ea
ter
th
an
m
a
x
i
m
u
m
th
r
es
h
o
ld
v
alu
e
t
h
e
n
it
w
ill
f
in
d
th
e
m
alicio
u
s
n
o
d
e
th
r
o
u
g
h
t
h
at
v
al
u
e.
T
h
e
th
r
es
h
o
ld
v
alu
e
is
s
et
o
r
in
cr
ea
s
ed
b
ased
o
n
th
e
an
o
m
al
y
b
e
h
av
io
r
.
Fu
r
th
er
m
o
r
e,
co
m
p
ar
i
n
g
t
h
e
n
o
r
m
al
b
eh
a
v
io
r
an
d
an
o
m
al
y
b
eh
av
io
r
f
r
o
m
h
o
s
t
‘
H(
n
)
’
w
h
er
eb
y
‘
H
(
n
)
’
is
t
h
e
n
u
m
b
er
o
f
h
o
s
t.
I
f
all
th
e
co
n
d
iti
o
n
is
tr
u
e
(
i.e
f
o
u
n
d
an
o
m
al
y
)
t
h
en
it
w
ill
g
e
n
er
ate
alar
m
‘
A
j
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to
n
ei
g
h
b
o
r
n
o
d
e
‘
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n
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w
h
er
eb
y
‘
A
j
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is
th
e
n
u
m
b
er
o
f
alar
m
g
e
n
er
ated
an
d
‘
N(
n
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’
i
s
th
e
n
u
m
b
e
r
o
f
n
ei
g
h
b
o
r
n
o
d
e.
I
n
d
is
ca
r
d
in
g
t
h
e
m
a
licio
u
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n
o
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e
p
h
ase,
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ased
o
n
th
e
alar
m
to
th
e
n
ei
g
h
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o
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n
o
d
e
w
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ll
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i
n
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th
e
m
alicio
u
s
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o
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e
‘
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(
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w
h
er
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A
(
n
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is
th
e
n
u
m
b
er
o
f
an
o
m
a
l
y
n
o
d
e.
A
f
ter
f
i
n
d
in
g
th
e
an
o
m
a
l
y
n
o
d
e,
ch
ec
k
th
e
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o
m
al
y
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eh
a
v
io
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is
co
n
ti
n
u
e
d
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ased
o
n
th
e
t
h
r
esh
o
ld
v
al
u
e.
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f
it
is
r
ea
c
h
ed
th
e
th
r
e
s
h
o
l
d
v
alu
e
t
h
e
n
r
ec
r
u
it
n
ea
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est
n
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g
h
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o
r
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o
d
e
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t
h
e
a
n
o
m
al
y
n
o
d
e
an
d
s
to
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e
n
e
w
in
tr
u
s
io
n
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n
t
h
e
r
ec
o
r
d
s
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h
e
n
ea
r
est
n
ei
g
h
b
o
r
n
o
d
e
w
il
l lo
ca
te
an
d
m
ar
k
an
o
m
al
y
n
o
d
e
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en
d
is
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e
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n
o
m
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l
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o
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e
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m
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et
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o
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k
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EG
I
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e
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l
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n
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n
d
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n
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v
3
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1.
I
n
i
t
i
a
l
i
z
e
t
h
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p
o
p
u
l
a
t
i
o
n
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n
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r
a
n
d
o
ml
y
f
o
r
t
h
res
h
o
l
d
=
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m
a
x
t
h
e
rsh
o
l
d
,
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j
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(
n
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(
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A(
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m
,
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1
,
2
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3
,
…
w
b
2.
I
n
i
t
i
a
l
i
z
e
r
a
n
d
o
ml
y
g
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e
r
a
t
e
d
d
e
t
e
c
t
o
r
s D
n
3.
S
e
t
T
=
T
o
t
a
l
n
u
mb
e
r
o
f
d
e
t
e
c
t
o
r
s
Thr
e
s
ho
l
d
va
l
ue
=
∑
f
i
t
n
es
s
of
d
et
ect
o
r
m
i
=
0
m
(
7
)
4.
R
e
p
e
a
t
t
h
e
s
t
e
p
7
u
n
t
i
l
t
h
r
e
sh
o
l
d
<
m
a
x
t
h
e
r
sh
o
l
d
5.
IF
4
.
1
C
o
mp
a
r
e
(
(
H
(
n
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=
n
o
rm
a
l
)
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H
(
n
)
=
a
n
o
m
a
l
y
)
)
4
.
2
I
f
i
t
i
s a
n
o
mal
y
t
h
e
n
p
r
o
d
u
c
e
a
a
l
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r
m
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j
t
o
n
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g
h
b
o
r
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o
d
e
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(
n
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.
3
C
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l
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l
a
t
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t
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res
h
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l
d
v
a
l
u
e
b
y
(
1
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b
a
se
d
o
n
A
j
f
o
r
D
n
6.
EN
D
I
F
7.
W
H
I
L
E
7
.
1
C
h
e
c
k
H
(
n
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=
a
n
o
m
a
l
y
i
s
c
o
n
t
i
n
u
e
d
b
a
se
d
o
n
t
h
r
e
sh
o
l
d
v
a
l
u
e
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
AI
I
SS
N:
2252
-
8938
A
N
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ve
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timiz
a
tio
n
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ith
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g
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eh
a
vi
o
r
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f B
ee
(
S
.
Ja
ya
l
a
ksh
mi
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159
7
.
2
C
h
e
c
k
t
h
r
e
sh
o
l
d
v
a
l
u
e
b
y
st
e
p
2
.
7
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3
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f
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s s
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p
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h
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n
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.
4
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ssi
g
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n
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w
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si
o
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5
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e
c
r
u
i
t
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e
a
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st
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(
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y
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6
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o
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.
7
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i
sca
r
d
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.
8
R
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p
e
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t
u
n
t
i
l
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t
c
o
n
t
i
n
u
e
d
b
y
st
e
p
2
8.
EN
D
W
H
I
L
E
EN
D
Fig
u
r
e
4
.
Op
ti
m
izatio
n
A
lg
o
r
it
h
m
B
ased
o
n
B
ee
Sti
n
g
in
g
(
O
A
B
B
S)
f
o
r
A
-
HI
D
S
4
.
4
.
F
l
o
w
cha
r
t
f
o
r
A
-
H
ids
I
n
itialize
th
e
en
tire
n
o
d
e
an
d
it
is
in
m
o
n
i
to
r
ed
en
v
ir
o
n
m
en
t
b
y
ch
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k
i
n
g
th
e
th
r
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m
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n
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m
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ar
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h
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d
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n
o
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al
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io
r
.
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f
th
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en
tire
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n
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ati
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en
it
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il
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ate
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h
e
alar
m
o
th
er
w
is
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it
w
ill
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e
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s
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th
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ea
ch
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e
m
a
x
i
m
u
m
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esh
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ld
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th
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h
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ati
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o
u
s
a
lar
m
an
d
also
s
to
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a
n
e
w
in
tr
u
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n
.
T
h
e
n
eig
h
b
o
r
n
o
d
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ar
e
lo
ca
ted
an
d
m
ar
k
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e
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o
m
al
y
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o
d
e.
Fin
all
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d
is
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r
d
th
e
an
o
m
al
y
n
o
d
e
f
o
r
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n
et
w
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k
.
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h
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ce
s
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ed
u
n
til t
h
e
d
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e
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s
to
p
p
ed
w
h
ic
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d
escr
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e
d
in
th
e
F
i
g
u
r
e
5
.
I
n
i
t
i
a
l
i
z
a
t
i
o
n
R
a
n
d
o
m
l
y
G
e
n
e
r
a
t
e
d
D
e
t
e
c
t
o
r
s
Mo
n
i
t
o
r
e
d
e
n
v
i
r
o
n
m
e
n
t
Ma
t
c
h
w
i
t
h
r
e
c
o
r
d
s
No
Y
e
s
G
e
n
e
r
a
t
e
a
l
a
r
m
A
l
l
o
w
p
a
c
k
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t
A
c
t
i
v
a
t
i
o
n
t
h
r
e
s
h
o
l
d
r
e
a
c
h
e
d
?
Y
e
s
A
d
d
t
o
f
i
n
a
l
d
e
t
e
c
t
o
r
s
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t
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n
t
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m
a
t
e
t
o
n
e
i
g
h
b
o
r
n
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t
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n
d
m
a
r
k
n
o
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e
D
i
s
c
a
r
d
m
a
l
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c
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o
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s
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d
e
No
Fig
u
r
e
5
.
Flo
w
c
h
ar
t o
f
Op
ti
m
i
za
tio
n
A
lg
o
r
it
h
m
B
ased
o
n
B
ee
Sti
n
g
i
n
g
(
O
A
B
B
S)
f
o
r
A
-
HI
DS
5.
E
XP
E
R
I
M
E
NT
A
L
RE
SUL
T
S
I
n
th
i
s
s
ec
tio
n
,
to
d
is
cu
s
s
o
u
r
ap
p
r
o
ac
h
to
ev
alu
ate
th
e
e
f
f
ec
tiv
e
n
ess
o
f
th
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
i
n
d
etec
tin
g
m
al
ic
io
u
s
ac
t
iv
i
ties
i
n
w
eb
s
er
v
er
lo
g
f
ile
s
.
Mo
r
eo
v
er
,
w
e
ex
a
m
i
n
e
t
h
e
ca
p
ab
ilit
y
o
f
th
e
f
ea
t
u
r
es th
a
t
ar
e
ex
tr
ac
ted
f
r
o
m
lo
g
f
ile
s
to
ca
p
tu
r
e
th
e
p
r
o
p
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ties
o
f
attr
ib
u
tes
th
at
h
a
v
e
b
ee
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co
llected
i
n
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n
h
a
n
ce
d
C
u
s
to
m
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o
g
f
ile
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L
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iles
.
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h
e
p
r
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p
o
s
ed
OA
B
B
S
al
g
o
r
ith
m
,
th
r
ee
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if
f
er
en
t
al
g
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ith
m
s
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g
R
ea
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at
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(
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,
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t
if
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ee
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o
lo
n
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B
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)
an
d
S
u
p
p
o
r
t
Vec
to
r
M
ac
h
in
e
(
S
VM
)
alg
o
r
ith
m
ar
e
c
h
o
s
en
to
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n
t
h
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d
ataset
w
h
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h
is
g
en
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ated
f
r
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m
th
e
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L
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g
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iles
.
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o
th
SVM
an
d
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B
C
h
a
v
e
b
ee
n
e
m
p
lo
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ed
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n
et
w
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k
b
ased
I
DSs
.
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h
e
r
ea
s
o
n
th
at
th
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y
ar
e
ch
o
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en
is
th
at,
t
h
e
y
p
r
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ed
to
h
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e
h
i
g
h
ab
ilit
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n
d
etec
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u
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i
n
t
h
e
n
e
t
w
o
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ased
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te
m
s
.
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o
n
s
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er
th
at,
d
u
e
to
th
e
in
d
ep
en
d
en
c
y
o
f
th
e
d
etec
to
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s
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te
m
’
s
m
o
d
u
le
s
f
r
o
m
t
h
e
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al
y
s
i
s
an
d
d
etec
tio
n
m
o
d
u
le,
it is
p
o
s
s
ib
le
to
ch
an
g
e
t
h
e
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o
r
it
h
m
s
e
m
p
lo
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ed
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th
i
s
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ar
t o
r
u
s
e
th
e
co
m
b
in
atio
n
o
f
th
a
t a
lg
o
r
it
h
m
s
as a
n
e
w
o
n
e.
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n
th
is
s
ec
t
io
n
d
if
f
er
en
t
k
in
d
o
f
m
etr
ic
s
ar
e
m
ea
s
u
r
ed
to
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alu
ate
th
e
ab
ilit
y
o
f
th
e
alg
o
r
it
h
m
s
to
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n
th
e
p
r
o
p
er
ties
o
f
th
e
f
ea
tu
r
e
s
o
f
th
e
d
ata
an
d
al
s
o
d
etec
tin
g
th
e
m
alicio
u
s
ac
ti
v
ities
.
T
h
e
r
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lt
s
ar
e
p
r
esen
te
d
f
o
r
ea
ch
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o
r
it
h
m
in
a
n
al
y
s
i
s
an
d
d
etec
tio
n
m
o
d
u
le.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8938
IJ
-
AI
Vo
l.
7
,
No
.
4
,
Dec
em
b
er
201
8
:
1
5
3
–
16
4
160
Gen
er
all
y
,
f
o
u
r
s
it
u
atio
n
s
ca
n
b
e
ass
u
m
ed
co
r
r
esp
o
n
d
in
g
t
h
e
r
elatio
n
b
et
w
ee
n
th
e
r
esu
l
t
o
f
an
an
al
y
s
i
s
f
o
r
a
s
a
m
p
le
e
v
e
n
t
an
d
it
s
ac
t
u
al
n
at
u
r
e
in
a
n
I
DS.
T
h
ese
s
itu
atio
n
s
i
n
cl
u
d
e:
f
al
s
e
p
o
s
iti
v
e
(
FP
)
,
if
th
e
a
n
al
y
ze
d
ev
en
t
is
n
o
t
a
n
attac
k
,
b
u
t
it
i
s
clas
s
if
ied
as
a
m
alicio
u
s
ac
t
iv
it
y
;
tr
u
e
p
o
s
iti
v
e
(
T
P
)
,
if
th
e
an
al
y
ze
d
ev
e
n
t
i
s
co
r
r
ec
tly
cla
s
s
i
f
ied
a
s
i
n
tr
u
s
io
n
;
f
alse
n
e
g
ati
v
e
(
FN)
,
i
f
t
h
e
a
n
al
y
ze
d
e
v
e
n
t is
m
a
licio
u
s
,
b
u
t it
is
c
lass
if
ied
as a
n
o
r
m
al
ac
ti
v
it
y
i
n
t
h
e
s
y
s
te
m
;
an
d
tr
u
e
n
eg
at
iv
e
(
T
N)
,
if
t
h
e
an
al
y
ze
d
e
v
en
t
is
co
r
r
ec
tl
y
c
la
s
s
i
f
ied
as
a
n
o
r
m
al
ac
tiv
it
y
.
6.
P
E
RF
O
RM
ANCE AN
AL
YS
I
S
T
h
e
p
er
f
o
r
m
a
n
ce
o
f
p
r
o
p
o
s
ed
s
y
s
te
m
ca
n
b
e
d
o
n
e
u
s
in
g
P
r
ec
is
io
n
,
R
ec
all,
F
-
m
ea
s
u
r
e,
Stan
d
ar
d
A
cc
u
r
ac
y
R
ate
(
S
AR
)
an
d
Fit
n
es
s
Valu
e
(
FV)
.
P
r
ec
is
io
n
,
R
ec
all,
F
-
m
ea
s
u
r
e,
S
A
R
an
d
FV
o
f
Op
ti
m
izatio
n
A
l
g
o
r
ith
m
B
ased
o
n
B
ee
Sti
n
g
in
g
(
O
A
B
B
S)
co
m
p
ar
ed
w
it
h
R
ea
l
-
v
al
u
ed
Neg
ati
v
e
Selec
t
io
n
(
R
NS)
,
A
r
tific
ial
B
ee
C
o
lo
n
y
(
A
B
C
)
an
d
Su
p
p
o
r
t
Vec
to
r
Ma
ch
in
e
(
SVM)
an
d
th
e
co
m
p
ar
is
o
n
r
es
u
lts
ar
e
d
escr
ib
ed
in
T
ab
le
2
an
d
T
ab
le
3
.
P
r
ec
is
io
n
(
P
)
is
th
e
p
r
o
p
o
r
tio
n
o
f
th
e
p
r
ed
icted
p
o
s
itiv
e
ca
s
e
s
th
at
w
er
e
co
r
r
ec
t,
as
ca
lc
u
lated
u
s
i
n
g
t
h
e
E
q
u
atio
n
(
6
)
.
R
ec
all
o
r
Sen
s
it
iv
it
y
o
r
T
r
u
e
P
o
s
itiv
e
R
ate
(
T
P
R
)
is
th
e
p
r
o
p
o
r
tio
n
o
f
p
o
s
it
iv
e
ca
s
e
s
t
h
at
w
er
e
co
r
r
ec
tly
id
en
tifie
d
,
as
ca
lcu
l
ated
u
s
i
n
g
t
h
e
E
q
u
atio
n
(
7
)
.
T
h
e
F
-
Me
as
u
r
e
co
m
p
u
te
s
s
o
m
e
av
er
a
g
e
o
f
th
e
in
f
o
r
m
atio
n
r
etr
ie
v
al
p
r
ec
is
io
n
an
d
r
ec
all
m
etr
ics.
An
ar
it
h
m
etic
m
ea
n
d
o
es
n
o
t
ca
p
tu
r
e
t
h
e
f
ac
t
th
at
a
(
5
0
%,
5
0
%)
s
y
s
te
m
is
o
f
te
n
co
n
s
id
er
ed
b
etter
th
an
an
(
8
0
%,
2
0
%)
s
y
s
te
m
,
as
ca
lc
u
lated
u
s
i
n
g
th
e
E
q
u
atio
n
(
8
)
.
A
cc
u
r
ac
y
(
A
C
)
i
s
d
ir
ec
tl
y
p
r
o
p
o
r
tio
n
to
th
e
to
tal
n
u
m
b
er
o
f
p
r
e
d
ictio
n
s
.
I
t
i
s
d
eter
m
i
n
ed
u
s
i
n
g
t
h
e
E
q
u
atio
n
(
9
)
.
Fit
n
es
s
v
a
lu
e
(
F
V)
is
r
eq
u
ir
ed
to
d
eter
m
i
n
e
th
e
q
u
alit
y
o
f
ce
r
tain
cla
s
s
i
f
ied
as
p
o
s
itiv
e
i
n
s
tan
ce
s
b
et
w
ee
n
th
e
g
o
o
d
an
d
b
ad
in
d
iv
id
u
al
s
,
as c
alcu
lated
u
s
in
g
t
h
e
E
q
u
atio
n
(
1
0
)
.
P
r
ec
is
io
n
=
T
P
/
(
T
P
+
FP
)
(
8
)
R
ec
all
=
TP
/
(
T
P
+
FN )
F
-
m
ea
s
u
r
e
=
2
(
Pr
ecis
i
o
n
×
Recal
l
Pr
ecis
i
o
n
+
Recal
l
)
Stan
d
ar
d
A
cc
u
r
ac
y
R
ate
=
(
T
P
+
T
N)
/(
T
P
+FP
+
T
N+
FN)
Fit
n
e
s
s
Val
u
e
=
TP
TP
+
FN
×
TN
TN
+
FP
(
9
)
T
h
e
p
r
ec
is
io
n
g
r
ap
h
r
ep
r
esen
ts
th
e
d
is
cu
s
s
ed
m
ea
s
u
r
e
s
f
o
r
ea
ch
o
f
f
o
u
r
alg
o
r
it
h
m
s
w
h
er
e
w
h
e
n
‘
n
’
n
u
m
b
er
o
f
attac
k
s
o
cc
u
r
s
ev
er
y
t
i
m
e
t
h
e
I
DS
alar
m
th
e
u
s
er
f
o
r
attac
k
.
I
t
is
s
h
o
w
n
th
at
t
h
e
n
u
m
b
er
o
f
p
r
ec
is
io
n
p
er
ce
n
tag
e
i
n
th
e
p
r
o
p
o
s
ed
w
o
r
k
(
OA
B
B
S)
in
cr
ea
s
e
s
co
m
p
ar
e
to
SVM,
A
B
C
,
an
d
R
N
F
s
in
ce
it
g
u
ar
an
tee
s
aler
tin
g
th
e
u
s
er
at
th
e
co
r
r
ec
t
ti
m
e
o
f
attac
k
.
T
h
e
p
r
o
p
o
s
e
d
OA
B
B
S
alg
o
r
ith
m
h
as
t
h
e
h
ig
h
e
s
t
v
al
u
es
f
o
r
p
r
ec
is
io
n
w
h
ile
p
r
o
d
u
cin
g
t
h
e
l
ea
s
t
f
al
s
e
alar
m
.
T
h
e
alg
o
r
ith
m
p
er
f
o
r
m
s
m
o
r
e
ef
f
ec
ti
v
el
y
in
d
etec
ti
n
g
m
a
licio
u
s
attac
k
w
h
en
co
m
p
ar
ed
to
o
th
e
r
alg
o
r
ith
m
s
w
h
ic
h
is
d
escr
ib
ed
in
th
e
F
i
g
u
r
e
6
.
Fig
u
r
e
6.
P
r
ec
is
io
n
o
f
OA
B
B
S
o
n
C
o
m
p
ar
is
o
n
w
i
th
SVM,
AB
C
an
d
R
NF
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
AI
I
SS
N:
2252
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ed
in
th
e
F
ig
u
r
e
9
.
As s
u
g
g
e
s
ted
b
y
t
h
is
F
ig
u
r
e
1
0
,
th
e
SVM
a
n
d
R
F
N
ar
e
p
er
f
o
r
m
i
n
g
q
u
ite
th
e
s
a
m
e
an
d
t
h
e
y
ca
n
e
x
ce
l
th
e
A
B
C
al
g
o
r
ith
m
i
n
d
etec
ti
n
g
attac
k
s
co
r
r
ec
tl
y
an
d
n
o
t
p
r
o
d
u
cin
g
i
n
co
r
r
ec
t
alar
m
s
.
As
a
r
es
u
lt,
th
at
t
h
e
p
r
o
p
o
s
ed
OA
B
B
S
alg
o
r
ith
m
i
s
p
er
f
o
r
m
in
g
m
o
r
e
ef
f
ec
ti
v
el
y
f
o
r
f
itn
es
s
v
al
u
e
in
d
etec
ti
n
g
m
alicio
u
s
ac
ti
v
itie
s
co
m
p
ar
ed
to
o
th
er
th
r
ee
alg
o
r
i
th
m
s
.
Fig
u
r
e
9
.
SAR
o
f
O
A
B
B
S o
n
C
o
m
p
ar
is
o
n
w
i
th
SVM,
A
B
C
an
d
R
N
F
Fig
u
r
e
1
0
.
FV o
f
OA
B
B
S o
n
C
o
m
p
ar
is
o
n
w
i
th
SVM,
A
B
C
an
d
R
N
F
7.
DIS
CU
SS
I
O
N
I
n
th
i
s
s
ec
tio
n
w
e
s
u
m
m
ar
iz
e
th
e
o
b
tain
ed
r
esu
l
ts
f
r
o
m
t
h
e
ev
al
u
atio
n
m
ec
h
a
n
is
m
p
r
esen
ted
i
n
p
r
ev
io
u
s
s
ec
tio
n
s
.
As
d
is
cu
s
s
ed
ea
r
lier
,
th
e
ex
ec
u
tio
n
ti
m
e
o
f
th
e
R
NF
is
to
o
h
ig
h
er
th
a
n
th
at
o
f
th
e
A
B
C
alg
o
r
ith
m
an
d
SVM.
F
u
r
th
er
m
o
r
e,
w
e
ca
n
s
ee
t
h
at
th
e
AB
C
i
s
th
e
f
a
s
test
al
g
o
r
ith
m
in
b
u
ild
in
g
t
h
e
n
o
r
m
a
l
m
o
d
el
a
n
d
d
etec
tin
g
an
o
m
alie
s
.
A
l
s
o
,
th
e
p
r
o
p
o
s
ed
OA
B
B
S a
lg
o
r
ith
m
h
as a
m
ed
io
cr
e
ex
ec
u
tio
n
ti
m
e.
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