Ying Yang
A 3D Steganalytic Algorithm and Steganalysis-Resistant Watermarking
Yang, Ying; Pintus, Ruggero; Rushmeier, Holly; Ivrissimtzis, Ioannis
Authors
Ruggero Pintus
Holly Rushmeier
Dr Ioannis Ivrissimtzis ioannis.ivrissimtzis@durham.ac.uk
Associate Professor
Abstract
We propose a simple yet efficient steganalytic algorithm for watermarks embedded by two state-of-the-art 3D watermarking algorithms by Cho et al. The main observation is that while in a clean model the means/variances of Cho et al.’s normalized histogram bins are expected to follow a Gaussian distribution, in a marked model their distribution will be bimodal. The proposed algorithm estimates the number of bins through an exhaustive search and then the presence of a watermark is decided by a tailor made normality test or a t-test. We also propose a modification of Cho et al.’s watermarking algorithms with the watermark embedded by changing the histogram of the radial coordinates of the vertices. Rather than targeting a continuous statistics such as the mean or variance of the values in a bin, the proposed watermarking modifies a discrete statistic, which here is the height of the histogram bin, to achieve watermark embedding. Experimental results demonstrate that the modified algorithm offers not only better resistance against the steganalytic attack we developed, but also an improved robustness/capacity trade-off.
Citation
Yang, Y., Pintus, R., Rushmeier, H., & Ivrissimtzis, I. (2017). A 3D Steganalytic Algorithm and Steganalysis-Resistant Watermarking. IEEE Transactions on Visualization and Computer Graphics, 23(2), 1002-2626. https://doi.org/10.1109/tvcg.2016.2525771
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 24, 2016 |
Online Publication Date | Feb 4, 2016 |
Publication Date | Feb 1, 2017 |
Deposit Date | Feb 24, 2016 |
Publicly Available Date | Feb 29, 2016 |
Journal | IEEE Transactions on Visualization and Computer Graphics |
Print ISSN | 1077-2626 |
Electronic ISSN | 1941-0506 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 23 |
Issue | 2 |
Pages | 1002-2626 |
DOI | https://doi.org/10.1109/tvcg.2016.2525771 |
Public URL | https://durham-repository.worktribe.com/output/1411419 |
Related Public URLs | http://graphics.cs.yale.edu/site/sites/files/3Dsteganalysis_and_watermarking.pdf |
Files
Accepted Journal Article
(4 Mb)
PDF
Copyright Statement
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
You might also like
Bivariate non-uniform subdivision schemes based on L-systems
(2023)
Journal Article
Big data for human security: The case of COVID-19
(2022)
Journal Article
From Farey fractions to the Klein quartic and beyond
(2021)
Journal Article
Early Fault Diagnostic System for Rolling Bearing Faults in Wind Turbines
(2021)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search