Rethinking the High Capacity 3D Steganography: Increasing Its Resistance to Steganalysis
| Title | Rethinking the High Capacity 3D Steganography: Increasing Its Resistance to Steganalysis |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Li, Z., Beugnon, S., Puech, W., Bors, A. G. |
| Conference Name | 2017 IEEE International Conference on Image Processing (ICIP) |
| ISBN Number | 978-1-5090-2175-8 |
| Keywords | 3D shape, 3D steganography, composability, data mining, distortion, Face, Hamiltonian path quantization, high capacity 3D steganographic method, Image edge detection, Information hiding, Mathematical model, Metrics, privacy, pubcrawl, Resistance, shape distortion, steganalysis, steganography, steganography detection, stereo image processing, Three-dimensional displays |
| Abstract | 3D steganography is used in order to embed or hide information into 3D objects without causing visible or machine detectable modifications. In this paper we rethink about a high capacity 3D steganography based on the Hamiltonian path quantization, and increase its resistance to steganalysis. We analyze the parameters that may influence the distortion of a 3D shape as well as the resistance of the steganography to 3D steganalysis. According to the experimental results, the proposed high capacity 3D steganographic method has an increased resistance to steganalysis. |
| URL | https://ieeexplore.ieee.org/document/8296333/ |
| DOI | 10.1109/ICIP.2017.8296333 |
| Citation Key | li_rethinking_2017 |
- Mathematical model
- Three-dimensional displays
- stereo image processing
- steganography detection
- Steganography
- steganalysis
- shape distortion
- Resistance
- pubcrawl
- privacy
- Metrics
- 3D shape
- Information hiding
- Image edge detection
- high capacity 3D steganographic method
- Hamiltonian path quantization
- Face
- distortion
- Data mining
- composability
- 3D steganography