Research Repository

A Novel Fragile Zero-Watermarking Algorithm for Digital Medical Images

Ali, Zulfiqar and Amin, Fazal-e- and Hussain, Muhammad (2022) 'A Novel Fragile Zero-Watermarking Algorithm for Digital Medical Images.' Electronics, 11 (5). p. 710. ISSN 2079-9292

electronics-11-00710.pdf - Published Version
Available under License Creative Commons Attribution.

Download (4MB) | Preview


The wireless transmission of patients’ particulars and medical data to a specialised centre after an initial screening at a remote health facility may cause potential threats to patients’ data privacy and integrity. Although watermarking can be used to rectify such risks, it should not degrade the medical data, because any change in the data characteristics may lead to a false diagnosis. Hence, zero watermarking can be helpful in these circumstances. At the same time, the transmitted data must create a warning in case of tampering or a malicious attack. Thus, watermarking should be fragile in nature. Consequently, a novel hybrid approach using fragile zero watermarking is proposed in this study. Visual cryptography and chaotic randomness are major components of the proposed algorithm to avoid any breach of information through an illegitimate attempt. The proposed algorithm is evaluated using two datasets: the Digital Database for Screening Mammography and the Mini Mammographic Image Analysis Society database. In addition, a breast cancer detection system using a convolutional neural network is implemented to analyse the diagnosis in case of a malicious attack and after watermark insertion. The experimental results indicate that the proposed algorithm is reliable for privacy protection and data authentication.

Item Type: Article
Uncontrolled Keywords: breast cancer; computer-aided diagnostic system; deep learning; chaotic randomness; privacy protection; content authentication
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 07 Mar 2022 20:45
Last Modified: 01 Apr 2022 11:36

Actions (login required)

View Item View Item