Facing the Cover-Source Mismatch on JPHide using Training-Set Design

Dirk Borghys (1) , Patrick Bas (2) , Helena Bruyninckx (1)

1 ERM KMS - Ecole Royale Militaire / Koninklijke Militaire School
2 CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189

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.

Mots clés: forensics-aware steganalysis; image processing pipeline; cover-source mismatch; Digital image steganalysis; JPEG domain

Domaines: Traitement du signal et de l'image [eess.SP]

Dirk Borghys, Patrick Bas, Helena Bruyninckx. Facing the Cover-Source Mismatch on JPHide using Training-Set Design. IH-MMSEC, Jun 2018, Innsbruck, Austria. pp.17-22, ⟨10.1145/3206004.3206021⟩. ⟨hal-01833873⟩