Table 5 UNSW-NB15 dataset details.

From: Leveraging self attention driven gated recurrent unit with crocodile optimization algorithm for cyberattack detection using federated learning framework

Classes

No. of samples

“Normal”

2500

“Generic”

2500

“Exploits”

2500

“Fuzzers”

2500

“Backdoors”

1746

“Shellcode”

1133

“Worms”

130

Total

13,009

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