Name
Abstract | ||
|---|---|---|
This short paper investigates the influence of the image processing pipeline (IPP) on the cover-source mismatch (CSM) for the popular JPHide steganographic scheme. We propose to deal with CSM by combining a forensics and a steganalysis approach. A multi-classifier is first trained to identify the IPP, and secondly a specific training set is designed to train a targeted classifier for steganalysis purposes. We show that the forensic step is immune to the steganographic embedding. The proposed IPP-informed steganalysis outperforms classical strategies based on training on a mixture of sources and we show that it can provide results close to a detector specifically trained on the appropriate source.
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Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3206004.3206021 | IH&MMSec |
Keywords | Field | DocType |
Digital image steganalysis, JPEG domain, cover-source mismatch, image processing pipeline, forensics-aware steganalysis | Training set,Steganography,Computer vision,Embedding,Pattern recognition,Computer science,Image processing,Artificial intelligence,Steganalysis,Classifier (linguistics),Detector | Conference |
ISBN | Citations | PageRank |
978-1-4503-5625-1 | 1 | 0.37 |
References | Authors | |
12 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dirk Borghys | 1 | 43 | 6.07 |
| Patrick Bas | 2 | 121 | 16.17 |
| Helena Bruyninckx | 3 | 3 | 1.96 |