research-article

Low-Complexity Features for JPEG Steganalysis Using Undecimated DCT

Authors:

Jessica FridrichAuthors Info & Claims

IEEE Transactions on Information Forensics and Security, Volume 10, Issue 2

Pages 219 - 228

https://doi.org/10.1109/TIFS.2014.2364918

Published: 01 February 2015 Publication History

Abstract

This paper introduces a novel feature set for steganalysis of JPEG images. The features are engineered as first-order statistics of quantized noise residuals obtained from the decompressed JPEG image using 64 kernels of the discrete cosine transform (DCT) (the so-called undecimated DCT). This approach can be interpreted as a projection model in the JPEG domain, forming thus a counterpart to the projection spatial rich model. The most appealing aspect of this proposed steganalysis feature set is its low computational complexity, lower dimensionality in comparison with other rich models, and a competitive performance with respect to previously proposed JPEG domain steganalysis features.

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Cited By

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
Pan YSu WNi JLiu QZhang YJiang DCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Model-Based Non-Independent Distortion Cost Design for Effective JPEG SteganographyProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681681(2419-2427)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3681681
Beneš MBöhme RPérez-González FComesaña-Alfaro PKrätzer CVicky Zhao H(2024)Exploring Diffusion-Inspired Pixel Predictors for WS SteganalysisProceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security10.1145/3658664.3659645(75-86)Online publication date: 24-Jun-2024
https://dl.acm.org/doi/10.1145/3658664.3659645
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Low-Complexity Features for JPEG Steganalysis Using Undecimated DCT
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cover image IEEE Transactions on Information Forensics and Security

IEEE Transactions on Information Forensics and Security Volume 10, Issue 2

Feb. 2015

217 pages

ISSN:1556-6013

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Copyright © 2014.

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IEEE Press

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Published: 01 February 2015

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Cited By

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
Pan YSu WNi JLiu QZhang YJiang DCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Model-Based Non-Independent Distortion Cost Design for Effective JPEG SteganographyProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681681(2419-2427)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3681681
Beneš MBöhme RPérez-González FComesaña-Alfaro PKrätzer CVicky Zhao H(2024)Exploring Diffusion-Inspired Pixel Predictors for WS SteganalysisProceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security10.1145/3658664.3659645(75-86)Online publication date: 24-Jun-2024
https://dl.acm.org/doi/10.1145/3658664.3659645
Mallet ACogranne RBas PPérez-González FComesaña-Alfaro PKrätzer CVicky Zhao H(2024)Linking Intrinsic Difficulty and Regret to Properties of Multivariate Gaussians in Image SteganalysisProceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security10.1145/3658664.3659643(31-39)Online publication date: 24-Jun-2024
https://dl.acm.org/doi/10.1145/3658664.3659643
Mallet ABas PCogranne RPérez-González FComesaña-Alfaro PKrätzer CVicky Zhao H(2024)Statistical Correlation as a Forensic Feature to Mitigate the Cover-Source MismatchProceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security10.1145/3658664.3659638(87-94)Online publication date: 24-Jun-2024
https://dl.acm.org/doi/10.1145/3658664.3659638
Yao YHuang LWang HChang QRen YXiao F(2024)Robust Adaptive Steganography Based on Adaptive STC-ECCIEEE Transactions on Multimedia10.1109/TMM.2023.333448726(5477-5489)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TMM.2023.3334487
Yang LWang RXu DDong LHe S(2024)Centralized Error Distribution-Preserving Adaptive Steganography for HEVCIEEE Transactions on Multimedia10.1109/TMM.2023.332149626(4255-4270)Online publication date: 1-Jan-2024
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Zeng KChen KZhang WWang Y(2024)Upward Robust Steganography Based on Overflow AlleviationIEEE Transactions on Multimedia10.1109/TMM.2023.326462826(299-312)Online publication date: 1-Jan-2024
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Fan ZChen KZeng KZhang JZhang WYu N(2024)Natias: Neuron Attribution-Based Transferable Image Adversarial SteganographyIEEE Transactions on Information Forensics and Security10.1109/TIFS.2024.342189319(6636-6649)Online publication date: 1-Jan-2024
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Butora JBas P(2024)Size-Independent Reliable CNN for RJCA SteganalysisIEEE Transactions on Information Forensics and Security10.1109/TIFS.2024.337984919(4420-4431)Online publication date: 20-Mar-2024
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