research-article

Digital image steganography using universal distortion

Authors:

Vojtěch Holub,

Jessica FridrichAuthors Info & Claims

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

Pages 59 - 68

https://doi.org/10.1145/2482513.2482514

Published: 17 June 2013 Publication History

Abstract

Currently, the most secure practical steganographic schemes for empirical cover sources embed their payload while minimizing a distortion function designed to capture statistical detectability. Since there exists a general framework for this embedding paradigm with established payload-distortion bounds as well as near-optimal practical coding schemes, building an embedding scheme has been essentially reduced to the distortion design. This is not an easy task as relating distortion to statistical detectability is a hard and open problem. In this article, we propose an innovative idea to measure the embedding distortion in one fixed domain independently of the domain where the embedding changes (and coding) are carried out. The proposed universal distortion is additive and evaluates the cost of changing an image element (e.g., pixel or DCT coefficient) from directional residuals obtained using a Daubechies wavelet filter bank. The intuition is to limit the embedding changes only to those parts of the cover that are difficult to model in multiple directions while avoiding smooth regions and clean edges. The utility of the universal distortion is demonstrated by constructing steganographic schemes in the spatial, JPEG, and side-informed JPEG domains, and comparing their security to current state-of-the-art methods using classifiers trained with rich media models.

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Cited By

Zhang FDong YSun H(2024)Research on Key Technologies of Image Steganography Based on Simultaneous Deception of Vision and Deep Learning ModelsApplied Sciences10.3390/app14221045814:22(10458)Online publication date: 13-Nov-2024
https://doi.org/10.3390/app142210458
Al-Obaidi SLighvan MAsadpour M(2024)Enhanced image steganalysis through reinforcement learning and generative adversarial networksIntelligent Decision Technologies10.3233/IDT-24007518:2(1077-1100)Online publication date: 7-Jun-2024
https://doi.org/10.3233/IDT-240075
Cao YLi JChao KXiao JLei G(2024)Blockchain Meets Generative Behavior Steganography: A Novel Covert Communication Framework for Secure IoT Edge ComputingChinese Journal of Electronics10.23919/cje.2023.00.38233:4(886-898)Online publication date: Jul-2024
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Index Terms

Digital image steganography using universal distortion
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks

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Information & Contributors

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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.

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SIGMM: ACM Special Interest Group on Multimedia

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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

Zhang FDong YSun H(2024)Research on Key Technologies of Image Steganography Based on Simultaneous Deception of Vision and Deep Learning ModelsApplied Sciences10.3390/app14221045814:22(10458)Online publication date: 13-Nov-2024
https://doi.org/10.3390/app142210458
Al-Obaidi SLighvan MAsadpour M(2024)Enhanced image steganalysis through reinforcement learning and generative adversarial networksIntelligent Decision Technologies10.3233/IDT-24007518:2(1077-1100)Online publication date: 7-Jun-2024
https://doi.org/10.3233/IDT-240075
Cao YLi JChao KXiao JLei G(2024)Blockchain Meets Generative Behavior Steganography: A Novel Covert Communication Framework for Secure IoT Edge ComputingChinese Journal of Electronics10.23919/cje.2023.00.38233:4(886-898)Online publication date: Jul-2024
https://doi.org/10.23919/cje.2023.00.382
Li HZhang YWang JZhang WLuo X(2024)Lightweight Steganography Detection Method Based on Multiple Residual Structures and TransformerChinese Journal of Electronics10.23919/cje.2022.00.45233:4(965-978)Online publication date: Jul-2024
https://doi.org/10.23919/cje.2022.00.452
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
Li GLi SQian ZZhang XCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Cover-separable Fixed Neural Network Steganography via Deep Generative ModelsProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3680824(10238-10247)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3680824
Lin KLi BLi WBarni MTondi BLiu X(2024)Constructing an Intrinsically Robust Steganalyzer via Learning Neighboring Feature Relationships and Self-Adversarial AdjustmentIEEE Transactions on Information Forensics and Security10.1109/TIFS.2024.347065119(9390-9405)Online publication date: 2024
https://doi.org/10.1109/TIFS.2024.3470651
Li WWang HChen Y(2024)From Cover to Immucover: Adversarial Steganography via Immunized Cover ConstructionIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2023.332174032:3(1233-1247)Online publication date: Mar-2024
https://doi.org/10.1109/TFUZZ.2023.3321740
Ping PWei PFu DGuo BBloh OXu F(2024)IMIH: Imperceptible Medical Image Hiding for Secure HealthcareIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2024.3355165(1-16)Online publication date: 2024
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Li SWang ZZhang XZhang X(2024)Robust Image Steganography Against General Downsampling Operations With Lossless Secret RecoveryIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2023.325369121:1(340-352)Online publication date: Jan-2024
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