Reversible Fragile Medical Image Watermarking Scheme Resistant to Malicious Tampering Attacks

Victor Fedoseev, Victor Fedoseev, Anna Denisova, Anna Denisova

2022

Abstract

Paper is aimed to eliminate a significant drawback of existing schemes for protecting medical images from tampering using fragile watermarking: instability to “malicious tampering attacks”. In such attacks, an intruder, while tampering image content, keeps unchanged an inconspicuous additional component that contains a fragile watermark. In watermarking schemes based on least significant bit (LSB) embedding or quantization index modulation (QIM), such a component is the remainder of dividing pixel values by some number corresponding to embedding parameters. In this paper, we present a QIM-based fragile watermarking method resistant to malicious tampering due to variation in quantization steps. This fact is justified theoretically and confirmed experimentally. For use in real systems for processing and analyzing medical images, a reverse watermarking scheme based on this method is proposed. The reversibility property is achieved by the division of an image into a region of interest (ROI) and a region of noninterest (RONI) and dual watermarking.

Paper Citation

in Harvard Style

Fedoseev V. and Denisova A. (2022). Reversible Fragile Medical Image Watermarking Scheme Resistant to Malicious Tampering Attacks. In Proceedings of the 2nd International Conference on Image Processing and Vision Engineering - Volume 1: IMPROVE, ISBN 978-989-758-563-0, pages 57-65. DOI: 10.5220/0011067200003209

in Bibtex Style

@conference{improve22,
author={Victor Fedoseev and Anna Denisova},
title={Reversible Fragile Medical Image Watermarking Scheme Resistant to Malicious Tampering Attacks},
booktitle={Proceedings of the 2nd International Conference on Image Processing and Vision Engineering - Volume 1: IMPROVE,},
year={2022},
pages={57-65},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011067200003209},
isbn={978-989-758-563-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Image Processing and Vision Engineering - Volume 1: IMPROVE,
TI - Reversible Fragile Medical Image Watermarking Scheme Resistant to Malicious Tampering Attacks
SN - 978-989-758-563-0
AU - Fedoseev V.
AU - Denisova A.
PY - 2022
SP - 57
EP - 65
DO - 10.5220/0011067200003209