Table 4 Details of the UNSW-NB15 dataset.

From: An efficient trustworthy cyberattack defence mechanism system for self guided federated learning framework using attention induced deep convolution neural networks

UNSW-NB15 Dataset

S.no

Type

Traffic Type

Count

1

Attacks

Fuzzers

2500

2

Analysis

2500

3

Backdoors

2000

4

DoS

2500

5

Exploits

2500

6

Generic

2500

7

Reconnaissance

2500

8

Shellcode

1500

9

Benign

Normal

2500

Total number of count

21,000

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