Ensuring message embedding in wet paper steganography
Daniel Augot (INRIA Saclay - Ile de France, LIX), Morgan Barbier, (INRIA Saclay - Ile de France, LIX), Caroline Fontaine (Lab-STICC)

TL;DR
This paper introduces a randomized syndrome coding scheme for wet paper steganography that guarantees embedding success with probability one, improving the reliability of message embedding in steganographic systems.
Contribution
It proposes a novel randomized syndrome coding method that ensures guaranteed embedding success, addressing failures in existing bounded decoding approaches.
Findings
Guarantees embedding success with probability one.
Analyzes parameters of the scheme for perfect codes.
Improves undetectability and reliability of wet paper steganography.
Abstract
Syndrome coding has been proposed by Crandall in 1998 as a method to stealthily embed a message in a cover-medium through the use of bounded decoding. In 2005, Fridrich et al. introduced wet paper codes to improve the undetectability of the embedding by nabling the sender to lock some components of the cover-data, according to the nature of the cover-medium and the message. Unfortunately, almost all existing methods solving the bounded decoding syndrome problem with or without locked components have a non-zero probability to fail. In this paper, we introduce a randomized syndrome coding, which guarantees the embedding success with probability one. We analyze the parameters of this new scheme in the case of perfect codes.
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