Research Article
PRUDA: A Novel Measurement Attribute Set towards Robust Steganography in Social Networks
Table 1
Nonuniform measurement attributes of existing methods.
| Attack type | Method | Payload | Robustness | Ease of Use | AntiDetection | Applicability |
| Scaling | Method in [27] | 0.1–0.5bpp of scaled image | | Any image | 0.4936 | Known scaling factor and scaling type is the nearest-neighbor interpolation | Method in [29] | 96bit | | Any image | 0.2082 | Scaling factor greater than 0.5 | Method in [30] | 128bit | | Any image | 0.3395 | Scaling factor greater than 0.5 |
| Compression | Method in [15] | 0.1–0.15bpnC of original image | | Repeatedly compressed image | 0.405 | No restriction | JCRISBE [12] | 0.05–0.3bpnAC of original image (BCH) | | Repeatedly compressed image that meets certain requirements | 0.43 | Known accurate channel compression factor | Method in [13] | 0.1–0.5bpnAC of compressed image | | Any image | 0.42 | Known accurate channel compression factor | GMAS [16] | 0.05–0.15bpnAC of precompressed image (RS) | | The precompressed image | 0.025 | Known approximate channel compression range | Method in [14] | 0.05–0.35bpnAC of original image (BCH) | | Any image | 0.42 | No restriction | DCRAS [8] | 0.01–0.1bpnAC of precompressed image (RS) | | The precompressed image | 0.055 | Known approximate channel compression range | Method in [31] | 0.01–0.1bpnAC of precompressed image (RS) | | The precompressed image | 0.0227 | Known approximate channel compression range |
| Multiple attacks | MREAS- [17] | 0.01–0.1bpnAC of precompressed image (RS) | | The image that conforms to certain laws | Close to zero | Known approximate channel compression range |
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