Facing the Cover-Source Mismatch on JPHide using Training-Set Design
| Autor: | Patrick Bas, Helena Bruyninckx, Dirk Borghys |
|---|---|
| Přispěvatelé: | Ecole Royale Militaire / Koninklijke Militaire School (ERM KMS), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Computer science
Short paper ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing 02 engineering and technology computer.software_genre 01 natural sciences 010309 optics 0103 physical sciences 0202 electrical engineering electronic engineering information engineering forensics-aware steganalysis Steganalysis Training set Steganography Detector Digital image steganalysis ComputingMethodologies_PATTERNRECOGNITION JPEG domain image processing pipeline cover-source mismatch Embedding 020201 artificial intelligence & image processing Data mining computer Classifier (UML) [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing |
| Zdroj: | IH&MMSec '18 Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security IH-MMSEC IH-MMSEC, Jun 2018, Innsbruck, Austria. pp.17-22, ⟨10.1145/3206004.3206021⟩ IH&MMSec |
| DOI: | 10.1145/3206004.3206021⟩ |
| Popis: | International audience; 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 steganal-ysis purposes. We show that the forensic step is immune to the steganographic embedding. The proposed IPP-informed steganaly-sis 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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