| Title | Adaptive Steganography in the Noisy Channel with Dual-Syndrome Trellis Codes |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Kin-Cleaves, Christy, Ker, Andrew D. |
| Conference Name | 2018 IEEE International Workshop on Information Forensics and Security (WIFS) |
| Keywords | Adaptive steganography, Bit error rate, channel coding, channel error rate, composability, Convolutional codes, data encapsulation, distortion, Dual-syndrome Trellis Codes, embedding process, error correction, error correction codes, forward error correction, Image coding, Metrics, Noise measurement, noisy channel, nonadversarial noise, Payloads, pubcrawl, Resiliency, STC, steganography, syndrome codes, Transform coding, trellis codes, unacceptably-high payload error rates |
| Abstract | Adaptive steganography aims to reduce distortion in the embedding process, typically using Syndrome Trellis Codes (STCs). However, in the case of non-adversarial noise, these are a bad choice: syndrome codes are fragile by design, amplifying the channel error rate into unacceptably-high payload error rates. In this paper we examine the fragility of STCs in the noisy channel, and consider how this can be mitigated if their use cannot be avoided altogether. We also propose an extension called Dual-Syndrome Trellis Codes, that combines error correction and embedding in the same Viterbi process, which slightly outperforms a straight-forward combination of standard forward error correction and STCs. |
| DOI | 10.1109/WIFS.2018.8630779 |
| Citation Key | kin-cleaves_adaptive_2018 |
Adaptive Steganography in the Noisy Channel with Dual-Syndrome Trellis Codes