Facing the Cover-Source Mismatch on JPHide ...
Document type :
Communication dans un congrès avec actes
DOI :
Title :
Facing the Cover-Source Mismatch on JPHide using Training-Set Design
Author(s) :
Borghys, Dirk [Auteur]
Ecole Royale Militaire / Koninklijke Militaire School [ERM KMS]
Bas, Patrick [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Bruyninckx, Helena [Auteur]
Ecole Royale Militaire / Koninklijke Militaire School [ERM KMS]
Ecole Royale Militaire / Koninklijke Militaire School [ERM KMS]
Bas, Patrick [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Bruyninckx, Helena [Auteur]
Ecole Royale Militaire / Koninklijke Militaire School [ERM KMS]
Conference title :
IH-MMSEC
City :
Innsbruck
Country :
Autriche
Start date of the conference :
2018-06-20
Book title :
IH&MMSec '18 Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security
Publisher :
ACM
Publication date :
2018
English keyword(s) :
forensics-aware steganalysis
image processing pipeline
cover-source mismatch
Digital image steganalysis
JPEG domain
image processing pipeline
cover-source mismatch
Digital image steganalysis
JPEG domain
HAL domain(s) :
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
English abstract : [en]
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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
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