Optimal DNA Encoding with Secret Sharing Scheme for Medical Image Encryption

Currently, the demand for digital images from various intellectual sensors and devices has intensely augmented in smart healthcare. Medical applications like telediagnosis need information exchange on insecure networks. Cryptographic processes, particularly secret sharing (SS), with certain extraordinary capacities and qualities, will be considered for handling confidential data. Therefore, this study develops an Optimal DNA Encoding with Secret Sharing Scheme for Medical Image Encryption (ODNAE-S3MIE) approach. The presented ODNAE-S3MIE algorithm concentrations on the accomplishment of security in the medical image transmission process. The ODNAE-S3MIE approach follows a three stage procedure such as optimal key generation, share creation, and share encryption. Primarily, the ODNAE-S3MIE technique enables to generation of a group of N shares for the input medical image. Next, encryption of shares takes place using the DNA encoding scheme. Finally, oppositional jellyfish search optimization (OJSO) algorithm is employed for effectively choosing the encryption keys. A comprehensive experimental results analysis ensured the improved efficacy of the ODNAE-S3MIE system with maximum PSNR and minimum MSE values.