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Table 6 Data set details

From: PUMD: a PU learning-based malicious domain detection framework

NO

Type

Size

Label frequency

Train

Test

1

Mali

Class_1

672

c

\(672 \cdot c\)

\(672 \cdot (1 - c)\)

2

Class_2

12

\(12 \cdot c\)

\(12 \cdot (1 - c)\)

3

Class_3

36

\(36 \cdot c\)

\(36 \cdot (1 - c)\)

4

Class_4

34

\(34 \cdot c\)

\(34 \cdot (1 - c)\)

5

Class_5

47

\(47 \cdot c\)

\(47 \cdot (1 - c)\)

6

Class_6

16

\(16 \cdot c\)

\(16 \cdot (1 - c)\)

7

Class_7

115

\(115 \cdot c\)

\(115 \cdot (1 - c)\)

8

Class_8

11

\(11 \cdot c\)

\(11 \cdot (1 - c)\)

9

Class_9

9

\(9 \cdot c\)

\(9 \cdot (1 - c)\)

–

(Total)

952

\(952 \cdot c\)

\(952 \cdot (1 - c)\)

10

Benign

(Total)

19560

–

0

19560

–

DataSet

(All)

20512

–

\(952 \cdot c\)

\(20512 - 952 \cdot c\)