Medical Image Security Using Dual Encryption with Oppositional Based Optimization Algorithm

• Published in: Journal of medical systems Vol. 42; no. 11; pp. 208 - 11
• Main Authors: Avudaiappan, T., Balasubramanian, R., Pandiyan, S. Sundara, Saravanan, M., Lakshmanaprabu, S. K., Shankar, K.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.11.2018; Springer Nature B.V
• Subjects: Advancements in Internet of Medical Things for Healthcare System; Algorithms; Computer science; Computer Security; Correlation coefficient; Correlation coefficients; Cryptography; Cybersecurity; Decision making; Diagnostic Imaging; Digital signatures; Encryption; Engineering; Entropy; Health Informatics; Health Sciences; Humans; Image transmission; Laboratories; Medical imaging; Medicine; Medicine & Public Health; Network security; Optimization; Optimization algorithms; Pollination; Security; Signal to noise ratio; Statistics for Life Sciences; Systems-Level Quality Improvement; Signcryption; Medical image security; PSNR and opposition based flower pollination optimization; Blowfish encryption algorithm
• ISSN: 0148-5598; 1573-689X
• DOI: 10.1007/s10916-018-1053-z

Security is the most critical issue amid transmission of medical images because it contains sensitive information of patients. Medical image security is an essential method for secure the sensitive data when computerized images and their relevant patient data are transmitted across public networks. In this paper, the dual encryption procedure is utilized to encrypt the medical images. Initially Blowfish Encryption is considered and then signcryption algorithm is utilized to confirm the encryption model. After that, the Opposition based Flower Pollination (OFP) is utilized to upgrade the private and public keys. The performance of the proposed strategy is evaluated using performance measures such as Peak Signal to Noise Ratio (PSNR), entropy, Mean Square Error (MSE), and Correlation Coefficient (CC).