ROI-Fuzzy Based Medical Data Authentication Scheme for Smart Healthcare System

Abstract

During the current pandemic, telemedicine applications encourage radiologists to consult patients remotely. Medical images are typically sent over the internet for easy access when diagnosing a patient. Intruders can manipulate these images during communication. Therefore, we require a method of authentication for these images that is capable of authenticating these images before diagnosis. To address these issues, a watermarking scheme has been developed within the scope of this paper. The foundation of anticipated watermarking system is Regions of Interest (ROI), using FRT to RONI, and converted into blocks; afterward, Hessenberg decomposition is applied on blocks selected by means of fuzzy logic. The binary watermark is quantized into the medical image. It has made the watermarking system non-fragil and secure.The proposed scheme’s performance is evaluated on various attack situations, including noise and scale assaults. Watermarked pictures with enhanced PSNR ranging from 56.9902 to 57.2356 have been produced using the proposed technique. In particular, we achieved high NC values of 0.9801 on applying image processing attacks. A series of tests are performed on the system to determine its sensitivity, and the results are compared to protocols. The simulation results demonstrate that the suggested solution offers a high level of security while being imperceptible and robust to various attacks.