A Multiwatermarking Scheme for Verifying Medical Image Integrity and Authenticity in the Internet of Medical Things

• Published in: IEEE transactions on industrial informatics Vol. 18; no. 12; pp. 8885 - 8894
• Main Authors: Yan, Fei, Huang, Hesheng, Yu, Xu
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.12.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Arrays; Brain storm optimization (BSO); digital watermarking; Discrete wavelet transforms; Electronic health records; Image verification; Integrity; Internet of medical things; Internet of Medical Things (IoMT); Medical diagnostic imaging; medical image; Medical imaging; Medical personnel; Optimization; quantum random walk (QRW); Random walk; Robustness; Transforms; Watermarking
• ISSN: 1551-3203; 1941-0050
• DOI: 10.1109/TII.2022.3159863

With the advent of a fifth-generation mobile network and developments in technologies such as the Internet of Medical Things, smart healthcare systems are becoming ubiquitous in our daily lives. Patients, doctors, and other medical personnel rely on the safe and efficient storage, transmission, and analysis of electronic health records, particularly medical images, for successful diagnosis, treatment, and management of different ailments. In this study, a multiwatermarking scheme is proposed for medical images based on quantum random walk and the brain storm optimization algorithm. A logo image used to verify medical image integrity is embedded in regions of interest, and text data are embedded in regions of non-interest to conceal private hospital and patient information. This process improves the accuracy of medical image verification and helps to ensure authenticity. A series of experiments were conducted to validate the capacity, security, robustness, and imperceptibility of the proposed multiwatermarking scheme.