Name
Abstract | ||
|---|---|---|
Content-adaptive steganography constrains its embedding changes to those parts of covers that are difficult to model, such as textured or noisy regions. When combined with advanced coding techniques, adaptive steganographic methods can embed rather large payloads with low statistical detectability at least when measured using feature-based steganalyzers trained on a given cover source. The recently proposed steganographic algorithm HUGO is an example of this approach. The goal of this paper is to subject this newly proposed algorithm to analysis, identify features capable of detecting payload embedded using such schemes and obtain a better picture regarding the benefit of adaptive steganography with public selection channels. This work describes the technical details of our attack on HUGO as part of the BOSS challenge. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-24178-9_8 | Information Hiding |
Keywords | Field | DocType |
boss challenge,steganographic algorithm,cover source,advanced coding technique,content-adaptive steganography,better picture,adaptive steganography,spatial domain,feature-based steganalyzers,adaptive steganographic method,embedding change | Steganography,Data mining,Steganography tools,Embedding,Computer science,Communication channel,Boss,Coding (social sciences),Steganalysis,Payload | Conference |
Citations | PageRank | References |
24 | 1.94 | 13 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jessica Fridrich | 1 | 8014 | 592.05 |
| Jan Kodovský | 2 | 667 | 33.71 |
| Vojtech Holub | 3 | 657 | 24.36 |
| Miroslav Goljan | 4 | 2430 | 221.88 |