A Proposed Framework for Enhanced Advanced Encryption Standard for Medical Image in Cloud System Using Fast Fourier Transform

Abstract

Medical image storage on a cloud network has many
advantages, including limitless storage, data portability,
and migration. This framework aims to provide a more
secure system capable of protecting data privacy in the
cloud. This should address the fundamental issues that
prevent users from trusting cloud services. The techniques
developed in this study will be useful for encrypting
confidential or personal images and information in a
variety of digital systems such as mobile phones, personal
digital gadgets, and so on. It will eliminate flaws, attack
vulnerabilities, and threats of intruding into digital content.
This proposal focuses on developing a cloud-based system
for medical image authentication and encryption using the
Enhanced Advanced Encryption Standard (EAES) and the
Modified Discrete Wavelet Transform (MDWT). For
encryption and decryption, the Fast Fourier Transform -
Advanced Encryption Standard (FFT-AES) will be used,
while the Discrete Wavelet Transform-Modified Particle
Swarm Optimization (DWT-MPSO) will be used for
watermarking patient information within the encrypted
image