research-article

Detecting LSB matching by applying calibration technique for difference image

Authors:

Xiaolong Li,

Tieyong Zeng,

Bin YangAuthors Info & Claims

MM&Sec '08: Proceedings of the 10th ACM workshop on Multimedia and security

Pages 133 - 138

https://doi.org/10.1145/1411328.1411353

Published: 22 September 2008 Publication History

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Abstract

In this paper, we investigate the calibration technique used in steganalysis of LSB matching. Instead of working on the original image, we propose to calculate the calibration-based detectors (e.g. Calibrated HCF COM) on the difference image, which is defined as the difference of the adjacent pixels of an image. The theoretical reliability of the new detectors is carefully studied. Moreover, several practical observations for enhancing the detectability are also given. The extensive experimental results clearly illustrate that the new detectors outperform the previous. Indeed, the new ones perform well even when the embedding rate is low.

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Cited By

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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
Islam MTanni TParvin SSultana MSiddiqa A(2020)A modified LSB image steganography method using filtering algorithm and stream of passwordInformation Security Journal: A Global Perspective10.1080/19393555.2020.1854902(1-12)Online publication date: 29-Nov-2020
https://doi.org/10.1080/19393555.2020.1854902
(2019)Enhancing the JPEG image steganography security by RSA and attaining high payload using advanced DCT replacement method and modified quantisation tableInternational Journal of Business Intelligence and Data Mining10.5555/3302593.330260314:1-2(138-154)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.5555/3302593.3302603
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Index Terms

Detecting LSB matching by applying calibration technique for difference image
1. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Software architectures

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Information & Contributors

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Published In

MM&Sec '08: Proceedings of the 10th ACM workshop on Multimedia and security

September 2008

242 pages

ISBN:9781605580586

DOI:10.1145/1411328

General Chair:
Andrew Ker
University of Oxford, UK
,
Program Chairs:
Jana Dittmann
Otto-von-Guericke University, Magdeburg, Germany
,
Jessica Fridrich
SUNY Binghamton, USA

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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Association for Computing Machinery

New York, NY, United States

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Published: 22 September 2008

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MM&Sec '08: Multimedia and Security Workshop

September 22 - 23, 2008

Oxford, United Kingdom

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Overall Acceptance Rate 128 of 318 submissions, 40%

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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
Islam MTanni TParvin SSultana MSiddiqa A(2020)A modified LSB image steganography method using filtering algorithm and stream of passwordInformation Security Journal: A Global Perspective10.1080/19393555.2020.1854902(1-12)Online publication date: 29-Nov-2020
https://doi.org/10.1080/19393555.2020.1854902
(2019)Enhancing the JPEG image steganography security by RSA and attaining high payload using advanced DCT replacement method and modified quantisation tableInternational Journal of Business Intelligence and Data Mining10.5555/3302593.330260314:1-2(138-154)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.5555/3302593.3302603
Sharma ASharma N(2019)A Noble Algorithm to Secure Online Data Transmission One Hundred Percent at Zero CostNetwork Security and Its Impact on Business Strategy10.4018/978-1-5225-8455-1.ch012(200-215)Online publication date: 2019
https://doi.org/10.4018/978-1-5225-8455-1.ch012
Chen MBoroumand MFridrich JCogranne RVerdoliva LLyu SPastoriza JZhang X(2019)Reference Channels for Steganalysis of Images with Convolutional Neural NetworksProceedings of the ACM Workshop on Information Hiding and Multimedia Security10.1145/3335203.3335733(188-197)Online publication date: 2-Jul-2019
https://dl.acm.org/doi/10.1145/3335203.3335733
Raja Suruthi RAnusudha K(2018)Honey Algorithm to Secure Steganographic ImagesMicroelectronics, Electromagnetics and Telecommunications10.1007/978-981-13-1906-8_76(749-757)Online publication date: 3-Nov-2018
https://doi.org/10.1007/978-981-13-1906-8_76
Sharma ASharma NKumar A(2017)A new algorithm to secure image steganographic file2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence10.1109/CONFLUENCE.2017.7943215(570-573)Online publication date: Jan-2017
https://doi.org/10.1109/CONFLUENCE.2017.7943215
Chakraborty SJalal A(2016)High capacity secret image sharing using multilayer image steganography with primary cover predictive errorInternational Journal of Information and Communication Technology10.1504/IJICT.2016.0791299:3(337-355)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1504/IJICT.2016.079129
Bhowmik SBhaumik A(2016)A new approach in color image steganography with high level of perceptibility and security2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI)10.1109/ICICPI.2016.7859718(283-286)Online publication date: Oct-2016
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Yang GLi XLi BGuo Z(2015)A new detector of LSB matching steganography based on likelihood ratio test for multivariate Gaussian covers2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)10.1109/APSIPA.2015.7415374(757-760)Online publication date: Dec-2015
https://doi.org/10.1109/APSIPA.2015.7415374
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Steganalysis of LSB matching exploiting high-dimensional correlations between pixel differences

Steganalysis of LSB matching based on statistical modeling of pixel difference distributions

Steganalysis of LSB Matching Exploiting High-Dimensional Correlations between Pixel Differences

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