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Fundamental Limits Of Steganographic Capacity For Multivariate-Quantized-Gaussian-Distributed Multimedia

Abstract: 

Steganography is the art and science of hiding data within innocent-looking objects (cover objects). Multimedia objects such as images and videos are an attractive type of cover objects due to their high embedding rates. There exist many techniques for performing steganography in both the literature and the practical world. Meanwhile, the definition of the steganographic capacity for multimedia and how to be calculated has not taken full attention. In this paper, for multivariate quantized-Gaussian-distributed multimedia, we study the maximum achievable embedding rate with respect to the statistical properties of cover objects against the maximum achievable performance by any steganalytic detector. Toward this goal, we evaluate the maximum allowed entropy of the hidden message source subject to the maximum probability of error of the steganalytic detector which is bounded by the KL-divergence between the statistical distributions for the cover and the stego objects. We give the exact scaling constant that governs the relationship between the entropies of the hidden message and the cover object

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Paper Details

Authors:
Hassan Y. El-Arsh; Amr Abdelaziz; Ahmed Elliethy; Hussein A. Aly
Submitted On:
6 November 2020 - 1:27pm
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Type:
Presentation Slides
Event:
Presenter's Name:
Hussein Aly
Paper Code:
3178
Document Year:
2020
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[1] Hassan Y. El-Arsh; Amr Abdelaziz; Ahmed Elliethy; Hussein A. Aly, "Fundamental Limits Of Steganographic Capacity For Multivariate-Quantized-Gaussian-Distributed Multimedia", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5547. Accessed: Nov. 29, 2020.
@article{5547-20,
url = {http://sigport.org/5547},
author = {Hassan Y. El-Arsh; Amr Abdelaziz; Ahmed Elliethy; Hussein A. Aly },
publisher = {IEEE SigPort},
title = {Fundamental Limits Of Steganographic Capacity For Multivariate-Quantized-Gaussian-Distributed Multimedia},
year = {2020} }
TY - EJOUR
T1 - Fundamental Limits Of Steganographic Capacity For Multivariate-Quantized-Gaussian-Distributed Multimedia
AU - Hassan Y. El-Arsh; Amr Abdelaziz; Ahmed Elliethy; Hussein A. Aly
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5547
ER -
Hassan Y. El-Arsh; Amr Abdelaziz; Ahmed Elliethy; Hussein A. Aly. (2020). Fundamental Limits Of Steganographic Capacity For Multivariate-Quantized-Gaussian-Distributed Multimedia. IEEE SigPort. http://sigport.org/5547
Hassan Y. El-Arsh; Amr Abdelaziz; Ahmed Elliethy; Hussein A. Aly, 2020. Fundamental Limits Of Steganographic Capacity For Multivariate-Quantized-Gaussian-Distributed Multimedia. Available at: http://sigport.org/5547.
Hassan Y. El-Arsh; Amr Abdelaziz; Ahmed Elliethy; Hussein A. Aly. (2020). "Fundamental Limits Of Steganographic Capacity For Multivariate-Quantized-Gaussian-Distributed Multimedia." Web.
1. Hassan Y. El-Arsh; Amr Abdelaziz; Ahmed Elliethy; Hussein A. Aly. Fundamental Limits Of Steganographic Capacity For Multivariate-Quantized-Gaussian-Distributed Multimedia [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5547