Exploring Non-Additive Distortion in Steganography
Title | Exploring Non-Additive Distortion in Steganography |
Publication Type | Conference Paper |
Year of Publication | 2018 |
Authors | Pevny, Tomas, Ker, Andrew D. |
Conference Name | Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security |
Publisher | ACM |
ISBN Number | 978-1-4503-5625-1 |
Keywords | composability, distortion minimization, Metrics, privacy, pubcrawl, steganography, steganography detection, syndrome-trellis codes |
Abstract | Leading steganography systems make use of the Syndrome-Trellis Code (STC) algorithm to minimize a distortion function while encoding the desired payload, but this constrains the distortion function to be additive. The Gibbs Embedding algorithm works for a certain class of non-additive distortion functions, but has its own limitations and is highly complex. In this short paper we show that it is possible to modify the STC algorithm in a simple way, to minimize a non-additive distortion function suboptimally. We use it for two examples. First, applying it to the S-UNIWARD distortion function, we show that it does indeed reduce distortion, compared with minimizing the additive approximation currently used in image steganography, but that it makes the payload more - not less - detectable. This parallels research attempting to use Gibbs Embedding for the same task. Second, we apply it to distortion defined by the output of a specific detector, as a counter-move in the steganography game. However, unless the Warden is forced to move first (by fixing the detector) this is highly detectable. |
URL | https://dl.acm.org/doi/10.1145/3206004.3206015 |
DOI | 10.1145/3206004.3206015 |
Citation Key | pevny_exploring_2018 |