short-paper

Steganography by Minimizing Statistical Detectability: The cases of JPEG and Color Images

Authors:

Rémi Cogranne,

Quentin Giboulot,

Patrick BasAuthors Info & Claims

IH&MMSec '20: Proceedings of the 2020 ACM Workshop on Information Hiding and Multimedia Security

Pages 161 - 167

https://doi.org/10.1145/3369412.3395075

Published: 23 June 2020 Publication History

Abstract

This short paper presents a novel method for steganography in JPEG-compressed images, extended the so-called MiPOD scheme based on minimizing the detection accuracy of the most-powerful test using a Gaussian model of independent DCT coefficients. This method is also applied to address the problem of embedding into color JPEG images. The main issue in such case is that color channels are not processed in the same way and, hence, a statistically based approach is expected to bring significant improvements when one needs to consider heterogeneous channels together.

The results presented show that, on the one hand, the extension of MiPOD for JPEG domain, referred to as J-MiPOD, is very competitive as compared to current state-of-the-art embedding schemes. On the other hands, we also show that addressing the problem of embedding in JPEG color images is far from being straightforward and that future works are required to understand better how to deal with color channels in JPEG images.

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Cited By

Zhang JHe XCao Y(2024)Errorless robust JPEG steganography using steganographic polar codesEURASIP Journal on Information Security10.1186/s13635-024-00173-42024:1Online publication date: 4-Jul-2024
https://doi.org/10.1186/s13635-024-00173-4
Kombrink MGeradts ZWorring M(2024)Image Steganography Approaches and Their Detection Strategies: A SurveyACM Computing Surveys10.1145/369496557:2(1-40)Online publication date: 10-Oct-2024
https://dl.acm.org/doi/10.1145/3694965
Lerch-Hostalot DMegías Jimenez D(2024)Single-image steganalysis in real-world scenarios based on classifier inconsistency detectionProceedings of the 19th International Conference on Availability, Reliability and Security10.1145/3664476.3670911(1-6)Online publication date: 30-Jul-2024
https://dl.acm.org/doi/10.1145/3664476.3670911
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cover image ACM Conferences

IH&MMSec '20: Proceedings of the 2020 ACM Workshop on Information Hiding and Multimedia Security

June 2020

177 pages

ISBN:9781450370509

DOI:10.1145/3369412

General Chairs:
Christian Riess
University of Erlangen-Nuremberg, Germany
,
Franziska Schirrmacher
University of Erlangen-Nuremberg, Germany
,
Program Chairs:
Irene Amerini
Sapienzia University Rome, Italy
,
Paolo Bestagini
Politecnico di Milano, Italy
,
Tomas Pevny
Czech Technical University in Prague, Czech Republic

Copyright © 2020 ACM.

Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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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: 23 June 2020

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IH&MMSec '20

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IH&MMSec '20: ACM Workshop on Information Hiding and Multimedia Security

June 22 - 24, 2020

CO, Denver, USA

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Overall Acceptance Rate 128 of 318 submissions, 40%

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Cited By

Zhang JHe XCao Y(2024)Errorless robust JPEG steganography using steganographic polar codesEURASIP Journal on Information Security10.1186/s13635-024-00173-42024:1Online publication date: 4-Jul-2024
https://doi.org/10.1186/s13635-024-00173-4
Kombrink MGeradts ZWorring M(2024)Image Steganography Approaches and Their Detection Strategies: A SurveyACM Computing Surveys10.1145/369496557:2(1-40)Online publication date: 10-Oct-2024
https://dl.acm.org/doi/10.1145/3694965
Lerch-Hostalot DMegías Jimenez D(2024)Single-image steganalysis in real-world scenarios based on classifier inconsistency detectionProceedings of the 19th International Conference on Availability, Reliability and Security10.1145/3664476.3670911(1-6)Online publication date: 30-Jul-2024
https://dl.acm.org/doi/10.1145/3664476.3670911
Méreur AMallet ACogranne R(2024)Are Deepfakes a Game-changer in Digital Images Steganography Leveraging the Cover-Source-Mismatch?Proceedings of the 19th International Conference on Availability, Reliability and Security10.1145/3664476.3670893(1-9)Online publication date: 30-Jul-2024
https://dl.acm.org/doi/10.1145/3664476.3670893
Zeng KChen KZhang JZhang WYu N(2024)Toward Secure and Robust Steganography for Black-Box Generated ImagesIEEE Transactions on Information Forensics and Security10.1109/TIFS.2024.336122019(3237-3250)Online publication date: 2024
https://doi.org/10.1109/TIFS.2024.3361220
Wardhani RPutranto DLe TJi JKim H(2024)Toward Hybrid Classical Deep Learning-Quantum Methods for SteganalysisIEEE Access10.1109/ACCESS.2024.338161512(45238-45252)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3381615
Hu MWang H(2024)Lightweight JPEG image steganalysis using dilated blind-spot networkJournal of Visual Communication and Image Representation10.1016/j.jvcir.2024.104182(104182)Online publication date: May-2024
https://doi.org/10.1016/j.jvcir.2024.104182
Fu TChen LGao YFang H(2024)DCANet: CNN model with dual-path network and improved coordinate attention for JPEG steganalysisMultimedia Systems10.1007/s00530-024-01433-630:4Online publication date: 1-Aug-2024
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Butora JBas P(2023)Side-Informed Steganography for JPEG Images by Modeling Decompressed ImagesIEEE Transactions on Information Forensics and Security10.1109/TIFS.2023.326888418(2683-2695)Online publication date: 2023
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Guan QLiu PZhang WLu WZhang X(2023)Double-Layered Dual-Syndrome Trellis Codes Utilizing Channel Knowledge for Robust SteganographyIEEE Transactions on Information Forensics and Security10.1109/TIFS.2022.322690418(501-516)Online publication date: 2023
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