research-article

Embedding change rate estimation based on ensemble learning

Authors:

Bin LuAuthors Info & Claims

IH&MMSec '13: Proceedings of the first ACM workshop on Information hiding and multimedia security

Pages 77 - 84

https://doi.org/10.1145/2482513.2482528

Published: 17 June 2013 Publication History

Abstract

In order to achieve higher estimation accuracy of the embedding change rate of a stego object, an ensemble learning-based estimation method is presented. First of all, a framework of embedding change rate estimation based on estimator ensemble is proposed. Then an algorithm of building the estimator ensemble, the core of the framework, is concretely described. Finally, a pruning method for estimator ensemble is proposed in consideration of both the diversity among the base estimators and accuracy of each of them. The experimental results for three modern steganographic algorithms (nsF5, PQ and PQt) indicate that the proposed method acquired better performance than the existed typical method. Furthermore, the pruned estimator ensemble with less base estimators maintained, even slightly improved the estimation accuracy, compared to the one without purning.

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Cited By

Li ZBors A(2020)Selection of Robust and Relevant Features for 3-D SteganalysisIEEE Transactions on Cybernetics10.1109/TCYB.2018.288308250:5(1989-2001)Online publication date: May-2020
https://doi.org/10.1109/TCYB.2018.2883082
Li ZGong DLiu FBors A(2018)3D Steganalysis Using the Extended Local Feature Set2018 25th IEEE International Conference on Image Processing (ICIP)10.1109/ICIP.2018.8451643(1683-1687)Online publication date: Oct-2018
https://doi.org/10.1109/ICIP.2018.8451643
Li ZLiu FBors A(2018)3D Steganalysis Using Laplacian Smoothing at Various LevelsCloud Computing and Security10.1007/978-3-030-00021-9_21(223-232)Online publication date: 26-Sep-2018
https://doi.org/10.1007/978-3-030-00021-9_21
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Published In

cover image ACM Conferences

IH&MMSec '13: Proceedings of the first ACM workshop on Information hiding and multimedia security

June 2013

242 pages

ISBN:9781450320818

DOI:10.1145/2482513

General Chair:
William Puech
LIRMM & University of Montpellier, France
,
Program Chairs:
Marc Chaumont
LIRMM & University of Nimes, France
,
Jana Dittmann
Otto-von-Guericke University, Germany
,
Patrizio Campisi
University of Roma TRE, Italy

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGMM: ACM Special Interest Group on Multimedia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 June 2013

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IH&MMSec '13

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SIGMM

IH&MMSec '13: ACM Information Hiding and Multimedia Security Workshop

June 17 - 19, 2013

Montpellier, France

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IH&MMSec '13 Paper Acceptance Rate 27 of 74 submissions, 36%;

Overall Acceptance Rate 128 of 318 submissions, 40%

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Cited By

Li ZBors A(2020)Selection of Robust and Relevant Features for 3-D SteganalysisIEEE Transactions on Cybernetics10.1109/TCYB.2018.288308250:5(1989-2001)Online publication date: May-2020
https://doi.org/10.1109/TCYB.2018.2883082
Li ZGong DLiu FBors A(2018)3D Steganalysis Using the Extended Local Feature Set2018 25th IEEE International Conference on Image Processing (ICIP)10.1109/ICIP.2018.8451643(1683-1687)Online publication date: Oct-2018
https://doi.org/10.1109/ICIP.2018.8451643
Li ZLiu FBors A(2018)3D Steganalysis Using Laplacian Smoothing at Various LevelsCloud Computing and Security10.1007/978-3-030-00021-9_21(223-232)Online publication date: 26-Sep-2018
https://doi.org/10.1007/978-3-030-00021-9_21
Li ZBeugnon SPuech WBors A(2017)Rethinking the high capacity 3D steganography: Increasing its resistance to steganalysis2017 IEEE International Conference on Image Processing (ICIP)10.1109/ICIP.2017.8296333(510-414)Online publication date: Sep-2017
https://doi.org/10.1109/ICIP.2017.8296333
Li ZBors A(2016)Selection of robust features for the Cover Source Mismatch problem in 3D steganalysis2016 23rd International Conference on Pattern Recognition (ICPR)10.1109/ICPR.2016.7900302(4256-4261)Online publication date: Dec-2016
https://doi.org/10.1109/ICPR.2016.7900302
Li ZBors A(2016)3D mesh steganalysis using local shape features2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)10.1109/ICASSP.2016.7472056(2144-2148)Online publication date: Mar-2016
https://doi.org/10.1109/ICASSP.2016.7472056
Zhou HChen KMa ZWang FZhang WZhou HChen KMa ZWang FZhang W(2012)3D Mesh SteganographyTriangle Mesh Watermarking and Steganography10.1007/978-981-19-7720-6_4(109-143)Online publication date: 24-Feb-2012
https://doi.org/10.1007/978-981-19-7720-6_4
van den Brink Rvan der Laan GVasil'ev V(undefined)Harsanyi Solutions in Line-Graph GamesSSRN Electronic Journal10.2139/ssrn.455100
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