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

Dirk Borghys; Helena Bruyninckx; Patrick Bas

doi:10.1145/3206004.3206021

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

Dirk Borghys
, Helena Bruyninckx
, Patrick Bas

Applied Crypto Expertise

Université Lille 1

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

12 Zitate (Scopus)

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 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.

Originalsprache	Englisch
Titel	IH and MMSec 2018 - Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security
Herausgeber (Verlag)	Association for Computing Machinery, Inc
Seiten	17-22
Seitenumfang	6
ISBN (elektronisch)	9781450356251
DOIs	https://doi.org/10.1145/3206004.3206021
Publikationsstatus	Veröffentlicht - 14 Juni 2018
Veranstaltung	6th ACM Workshop on Information Hiding and Multimedia Security, IH and MMSec 2018 - Innsbruck, Österreich Dauer: 20 Juni 2018 → 22 Juni 2018

Publikationsreihe

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

Konferenz

Konferenz	6th ACM Workshop on Information Hiding and Multimedia Security, IH and MMSec 2018
Land/Gebiet	Österreich
Ort	Innsbruck
Zeitraum	20/06/18 → 22/06/18

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10.1145/3206004.3206021

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Verknüpfung zur Publikation in Scopus

Facing the cover-source mismatch on JPHide using training-set design
Borghys, D. (Redner), Bruyninckx, H. (Co-author) & Bas, P. (Co-author)
20 Juni 2018 → 22 Juni 2018
Aktivität: Gespräch oder Vortrag › Vortrag

Dieses zitieren

Borghys, D., Bruyninckx, H., & Bas, P. (2018). Facing the cover-source mismatch on JPHide using training-set design. in IH and MMSec 2018 - Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security (S. 17-22). (IH and MMSec 2018 - Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security). Association for Computing Machinery, Inc. https://doi.org/10.1145/3206004.3206021

Borghys, Dirk ; Bruyninckx, Helena ; Bas, Patrick. / Facing the cover-source mismatch on JPHide using training-set design. IH and MMSec 2018 - Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security. Association for Computing Machinery, Inc, 2018. S. 17-22 (IH and MMSec 2018 - Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security).

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title = "Facing the cover-source mismatch on JPHide using training-set design",

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 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.",

author = "Dirk Borghys and Helena Bruyninckx and Patrick Bas",

note = "Publisher Copyright: {\textcopyright} 2018 Copyright held by the owner/author(s).; 6th ACM Workshop on Information Hiding and Multimedia Security, IH and MMSec 2018 ; Conference date: 20-06-2018 Through 22-06-2018",

year = "2018",

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doi = "10.1145/3206004.3206021",

language = "English",

series = "IH and MMSec 2018 - Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security",

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Borghys, D, Bruyninckx, H & Bas, P 2018, Facing the cover-source mismatch on JPHide using training-set design. in IH and MMSec 2018 - Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security. IH and MMSec 2018 - Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security, Association for Computing Machinery, Inc, S. 17-22, 6th ACM Workshop on Information Hiding and Multimedia Security, IH and MMSec 2018, Innsbruck, Österreich, 20/06/18. https://doi.org/10.1145/3206004.3206021

Facing the cover-source mismatch on JPHide using training-set design. / Borghys, Dirk; Bruyninckx, Helena; Bas, Patrick.
IH and MMSec 2018 - Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security. Association for Computing Machinery, Inc, 2018. S. 17-22 (IH and MMSec 2018 - Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Facing the cover-source mismatch on JPHide using training-set design

AU - Borghys, Dirk

AU - Bruyninckx, Helena

AU - Bas, Patrick

PY - 2018/6/14

Y1 - 2018/6/14

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85050483955

U2 - 10.1145/3206004.3206021

DO - 10.1145/3206004.3206021

M3 - Conference contribution

AN - SCOPUS:85050483955

T3 - IH and MMSec 2018 - Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security

SP - 17

EP - 22

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

PB - Association for Computing Machinery, Inc

T2 - 6th ACM Workshop on Information Hiding and Multimedia Security, IH and MMSec 2018

Y2 - 20 June 2018 through 22 June 2018

ER -

Borghys D, Bruyninckx H, Bas P. Facing the cover-source mismatch on JPHide using training-set design. in IH and MMSec 2018 - Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security. Association for Computing Machinery, Inc. 2018. S. 17-22. (IH and MMSec 2018 - Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security). doi: 10.1145/3206004.3206021

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

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

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