Blockchain based Chaotic Deep GAN Encryption scheme for securing medical images in a cloud environment

Enormous reports, like scanned medical pictures and electronic patient records, are generated by modern healthcare equipment, and these reports must be secured for future access. Conventional storage technologies are incapable of storing large amounts of data. Cloud storage systems, fortunately, satisfy because of their features, like availability and scalability. Although medical images can be saved in the cloud, majority of cloud service providers store them in plain text format. Because of hackers and the increasing computer power, current image encryption methods are vulnerable to attacks. Therefore, a Block chain based Chaotic Deep Generative Adversarial Network (GAN) Encryption Scheme is proposed. The BCDGE uses blockchain technology to protect personal information and verify the authenticity of the data. Secondly, the Chaotic Deep GAN Encryption method uses confusion, substitution, and diffusion principles to encrypt the medical image. The Deep GAN creates image-specific secret keys to improve the resilience against hackers, produced keys utilized as an input for confusion and diffusion phases. The sender transfers the encrypted medical picture to the cloud server, signs the ciphertext ID, and saves it to block chain. The security and performance analysis of the proposed scheme gives better results than the existing schemes.