Table 6 Cyberattack detection of SAMFL-SCDCOA model on the UNSW-NB15 dataset.
Class labels | \(Acc{u}_{y}\) | \(Pre{c}_{n}\) | \(Rec{a}_{l}\) | \({F}_{score}\) | \(AU{C}_{score}\) |
|---|---|---|---|---|---|
TRPH (70%) | |||||
Normal | 98.99 | 97.02 | 97.79 | 97.40 | 98.53 |
Generic | 98.91 | 96.93 | 97.53 | 97.23 | 98.39 |
Exploits | 98.81 | 96.30 | 97.52 | 96.91 | 98.32 |
Fuzzers | 98.88 | 96.35 | 97.80 | 97.07 | 98.47 |
Backdoors | 99.18 | 97.11 | 96.71 | 96.91 | 98.13 |
Shellcode | 98.82 | 94.32 | 92.07 | 93.18 | 95.77 |
Worms | 99.37 | 90.48 | 41.76 | 57.14 | 70.86 |
Average | 99.00 | 95.50 | 88.74 | 90.83 | 94.07 |
TSPH (30%) | |||||
Normal | 99.00 | 96.78 | 97.96 | 97.37 | 98.60 |
Generic | 99.15 | 98.18 | 97.22 | 97.70 | 98.41 |
Exploits | 98.80 | 96.03 | 97.91 | 96.96 | 98.46 |
Fuzzers | 98.95 | 96.81 | 97.93 | 97.37 | 98.57 |
Backdoors | 99.08 | 96.08 | 97.17 | 96.62 | 98.27 |
Shellcode | 98.90 | 95.68 | 91.45 | 93.51 | 95.53 |
Worms | 99.41 | 86.36 | 48.72 | 62.30 | 74.32 |
Average | 99.04 | 95.13 | 89.77 | 91.69 | 94.59 |
