Table 9 Cross-Dataset evaluation.
From: Detecting command injection attacks in web applications based on novel deep learning methods
Year and author | Acc (%) | Pre (%) | Rec (%) | F1 (%) |
|---|---|---|---|---|
2020 and Odumuyiwa14 | 97.36 | 99.01 | 97.02 | 98.04 |
2022 and Seyyar15 | 99.21 | 99.01 | 98.52 | 98.69 |
2022 and Zhang16 | 95.24 | 96.21 | 93.42 | 94.23 |
2023 and Zhao17 | 97.02 | 95.31 | 94.28 | 95.45 |
2023 and Stiawan18 | 96.05 | 94.96 | 95.12 | 94.46 |
2024 and Liu19 | 97.89 | 97.73 | 97.01 | 96.35 |
2024 and Jimoh20 | 97.32 | 97.73 | 96.95 | 96.82 |
Our model | 99.51 | 99.23 | 99.45 | 99.02 |
