Steganalysis of Semi-fragile Watermarking Systems Resistant to JPEG Compression

Anna Egorova, Victor Fedoseev, Victor Fedoseev

2020

Abstract

Recently, dozens of semi-fragile digital watermarking systems have been designed to protect JPEG images from unauthorized changes. Their principle is to embed an invisible protective watermark into the image. Such a watermark is destroyed by any image editing operations, except for JPEG compression with the quality level in a given range of values. Watermarking systems of this type have been assessed in terms of watermark extraction accuracy and visual quality of the protected image. However, their steganographic security (i.e., robustness against detecting protective information traces by a third party) has not been sufficiently studied. Meanwhile, if an attacker detects the presence of a watermark in the image, he can get valuable information on the used image protection technique. It can let him develop a data modification method that alters the content of the protected image without destroying the embedded watermark. In this paper, we propose a specific attack to analyze steganographic security of known semi-fragile watermarking algorithms for JPEG images. We also investigate the efficiency of the proposed attack. In addition, we propose an approach to counter the attack that can be applied in the existing watermarking systems to enforce their steganographic security.

Paper Citation

in Harvard Style

Egorova A. and Fedoseev V. (2020). Steganalysis of Semi-fragile Watermarking Systems Resistant to JPEG Compression. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP; ISBN 978-989-758-402-2, SciTePress, pages 821-828. DOI: 10.5220/0009129708210828

in Bibtex Style

@conference{visapp20,
author={Anna Egorova and Victor Fedoseev},
title={Steganalysis of Semi-fragile Watermarking Systems Resistant to JPEG Compression},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP},
year={2020},
pages={821-828},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009129708210828},
isbn={978-989-758-402-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP
TI - Steganalysis of Semi-fragile Watermarking Systems Resistant to JPEG Compression
SN - 978-989-758-402-2
AU - Egorova A.
AU - Fedoseev V.
PY - 2020
SP - 821
EP - 828
DO - 10.5220/0009129708210828
PB - SciTePress