From: Conceptualisation of Cyberattack prediction with deep learning
Metrics | Normal | Analysis | Back Door | DoS | Exploits | Fuzzers | Generic | Recon | Shell code | Worms |
---|---|---|---|---|---|---|---|---|---|---|
ACC | 89.46 | 81.68 | 98.71 | 91.41 | 85.10 | 90.76 | 98.78 | 96.94 | 99.29 | 99.92 |
PR | 99.18 | 82.02 | 99.97 | 99.79 | 96.41 | 93.74 | 99.82 | 99.21 | 99.87 | 100.0 |
RR | 93.69 | 99.79 | 98.74 | 91.60 | 89.91 | 97.69 | 99.32 | 97.87 | 99.42 | 99.93 |
F1 | 96.36 | 90.03 | 99.35 | 95.52 | 93.05 | 95.67 | 99.57 | 98.54 | 99.64 | 99.96 |
E | 0.00818 | 0.16261 | 0.00025 | 0.00206 | 0.03526 | 0.06058 | 0.00181 | 0.00788 | 0.00130 | 0.00005 |