research-article

JPEG anti-forensics using non-parametric DCT quantization noise estimation and natural image statistics

Authors:

François Cayre,

Zhang XiongAuthors Info & Claims

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

Pages 117 - 122

https://doi.org/10.1145/2482513.2482536

Published: 17 June 2013 Publication History

Abstract

This paper proposes an anti-forensic method that disguises the footprints left by JPEG compression, whose objective is to fool existing JPEG forensic detectors while keeping a high visual quality of the processed image. First we examine the reliability of existing detectors and point out the potential vulnerability of the quantization table estimation based detector. Then we construct a new, non-parametric method to DCT histogram smoothing without any histogram statistical model. Finally JPEG forensic detectors are fooled by optimizing an objective function considering both the anti-forensic terms and a natural image statistical model. We show that compared to the state-of-the-art methods the proposed JPEG anti-forensic method is able to achieve a higher image visual quality while being undetectable under existing detectors.

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Cited By

González Arias RBermejo Higuera JRainer Granados JBermejo Higuera JSicilia Montalvo J(2024)Systematic Review: Anti-Forensic Computer TechniquesApplied Sciences10.3390/app1412530214:12(5302)Online publication date: 19-Jun-2024
https://doi.org/10.3390/app14125302
Tailanián MGardella MPardo AMusé P(2024)Diffusion models meet image counter-forensics2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)10.1109/WACV57701.2024.00388(3913-3923)Online publication date: 3-Jan-2024
https://doi.org/10.1109/WACV57701.2024.00388
Minh TNguyen Tran Hoan DNguyen K(2024)Attacking Forgery Detection Models Using a Stack of Multiple Strategies2024 International Conference on Multimedia Analysis and Pattern Recognition (MAPR)10.1109/MAPR63514.2024.10660784(1-6)Online publication date: 15-Aug-2024
https://doi.org/10.1109/MAPR63514.2024.10660784
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Index Terms

JPEG anti-forensics using non-parametric DCT quantization noise estimation and natural image statistics
1. Information systems

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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.

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

Acceptance Rates

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

González Arias RBermejo Higuera JRainer Granados JBermejo Higuera JSicilia Montalvo J(2024)Systematic Review: Anti-Forensic Computer TechniquesApplied Sciences10.3390/app1412530214:12(5302)Online publication date: 19-Jun-2024
https://doi.org/10.3390/app14125302
Tailanián MGardella MPardo AMusé P(2024)Diffusion models meet image counter-forensics2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)10.1109/WACV57701.2024.00388(3913-3923)Online publication date: 3-Jan-2024
https://doi.org/10.1109/WACV57701.2024.00388
Minh TNguyen Tran Hoan DNguyen K(2024)Attacking Forgery Detection Models Using a Stack of Multiple Strategies2024 International Conference on Multimedia Analysis and Pattern Recognition (MAPR)10.1109/MAPR63514.2024.10660784(1-6)Online publication date: 15-Aug-2024
https://doi.org/10.1109/MAPR63514.2024.10660784
Qureshi MEl‐Alfy E(2019)Bibliography of digital image anti‐forensics and anti‐anti‐forensics techniquesIET Image Processing10.1049/iet-ipr.2018.658713:11(1811-1823)Online publication date: Aug-2019
https://doi.org/10.1049/iet-ipr.2018.6587
Singh KKansal ASingh G(2019)An improved median filtering anti-forensics with better image quality and forensic undetectabilityMultidimensional Systems and Signal Processing10.1007/s11045-019-00637-8Online publication date: 27-Feb-2019
https://doi.org/10.1007/s11045-019-00637-8
Li BZhang HLuo HTan S(2019)Detecting double JPEG compression and its related anti-forensic operations with CNNMultimedia Tools and Applications10.1007/s11042-018-7073-378:7(8577-8601)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.1007/s11042-018-7073-3
Zeng HYu JKang XLyu S(2017)Countering JPEG anti-forensics based on noise level estimationScience China Information Sciences10.1007/s11432-016-0426-161:3Online publication date: 14-Aug-2017
https://doi.org/10.1007/s11432-016-0426-1
Ravi HSubramanyam AEmmanuel S(2016)Forensic Analysis of Linear and Nonlinear Image Filtering Using Quantization NoiseACM Transactions on Multimedia Computing, Communications, and Applications10.1145/285706912:3(1-23)Online publication date: 8-Mar-2016
https://dl.acm.org/doi/10.1145/2857069
Fan WValenzise GBanterle FDufaux F(2016)Forensic detection of inverse tone mapping in HDR images2016 IEEE International Conference on Image Processing (ICIP)10.1109/ICIP.2016.7532340(166-170)Online publication date: Sep-2016
https://doi.org/10.1109/ICIP.2016.7532340
Fan WWang KCayre F(2015)General-purpose image forensics using patch likelihood under image statistical models2015 IEEE International Workshop on Information Forensics and Security (WIFS)10.1109/WIFS.2015.7368606(1-6)Online publication date: Nov-2015
https://doi.org/10.1109/WIFS.2015.7368606
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