Research Article
Lightweight AAC Audio Steganalysis Model Based on ResNeXt
Table 3
Comparison of detection results of neural network steganalysis methods.
| Steganalysis model | Steganography algorithm | Accuracy (%) | Parameters (K) | Model size (MB) | 0.1 | 0.2 | 0.3 | 0.5 | 1.0 |
| Our model—LARXNet | MIN | 98.65 | 99.05 | 99.12 | 99.34 | 99.90 | 102 | 1.49 | SIGN | 94.27 | 96.65 | 98.54 | 99.12 | 99.87 | HCM | 85.50 | 91.65 | 95.13 | 96.85 | 99.55 |
| Spec-ResNet | MIN | 94.31 | 95.72 | 96.43 | 98.81 | 99.85 | 206 | 2.49 | SIGN | 92.12 | 93.29 | 94.79 | 98.48 | 99.82 | HCM | 72.50 | 81.53 | 88.03 | 93.27 | 98.35 |
| WASDN | MIN | 93.57 | 94.52 | 95.96 | 98.70 | 99.61 | 73000 | 692.27 | SIGN | 90.24 | 92.19 | 93.25 | 98.35 | 99.57 | HCM | 69.32 | 73.47 | 81.10 | 85.32 | 92.95 |
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