Strengthening Security and Confidentiality in E-Health Systems through Quantum Encryption of Healthcare

Abstract

This study presents a pioneering quantum encryption technique, the Generalized Novel Enhancement Quantum Representation (GNEQR), to ensure enhanced security for color medical images in E-health systems. The proposed method is seamlessly integrated into an ASP.NET Web API and Blazor Web Assembly environment. During the encryption process, the GNEQR algorithm utilizes advanced bit-plane scrambling to obscure the original color medical image. A 5D chaotic map is employed to generate an image key, which is then used to create a scrambled version of the key image. Applying an XOR operation between the scrambled image and the key image produces a highly secure quantum-encrypted color image. In the decryption process, the inverse of the encryption steps is implemented, leveraging the 5D chaotic map-generated key to accurately reconstruct the original color medical image. This research aims to significantly enhance E-health security by protecting patient data, including medical images and histories, through quantum encryption. The incorporation of GNEQR within an ASP.NET Web API and Blazor Web Assembly framework facilitates seamless deployment and underscores the potential of this method to revolutionize healthcare data privacy and integrity.

Keywords

• 5D chaotic map, patient confidentiality, GNEQR ,healthcare images, and quantum encryption