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Facing the cover-source mismatch on JPHide using training-set design

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Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdragepeer review

12 Citaten (Scopus)

Samenvatting

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 multiclassifier 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.

Originele taal-2Engels
TitelIH and MMSec 2018 - Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security
UitgeverijAssociation for Computing Machinery, Inc
Pagina's17-22
Aantal pagina's6
ISBN van elektronische versie9781450356251
DOI's
StatusGepubliceerd - 14 jun. 2018
Evenement6th ACM Workshop on Information Hiding and Multimedia Security, IH and MMSec 2018 - Innsbruck, Oostenrijk
Duur: 20 jun. 201822 jun. 2018

Publicatie series

NaamIH and MMSec 2018 - Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security

Congres

Congres6th ACM Workshop on Information Hiding and Multimedia Security, IH and MMSec 2018
Land/RegioOostenrijk
StadInnsbruck
Periode20/06/1822/06/18

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