Review of Image encryption techniques using neural network for optical security in the healthcare sector – PNO System

Abstract

Image encryption is used to encrypt patient images that contain diagnostic information about patients in healthcare. The healthcare sector uses electronic media to support the transmission of scanning results, such as X-rays, MRI scans and ultrasound images. The primary purpose of this paper is to investigate encryption of images through techniques utilising neural networks to maintain security and privacy of patient records. Patient image data, neural network-based encryption, and optical security (PNO) systems are examined in this research work. These components will provide some validation in the use of neural network-enabled image encryption in healthcare. The evaluation of the PNO system is based on different quality factors, which are compared in a classification of the 30 state-of-the-art solutions in image encryption. The effectiveness of the encryption process can be increased in terms of high accuracy, less noise and enhanced security. We conclude that using neural network-based encryption techniques can increase security in visual media in the healthcare sector.