Solving the Data security problem for Medical Image using Dog-Crow Optimization algorithm

Abstract

Security is the one of the significant thing for transmitting the restorative information. Since it contains some extra data of patients. Medical Imaging Data Security is a Necessary system for secure or safeguards the sensitive information and their related data are put away and transmitted over the Open Public Networks. Numerous cryptographic calculations are accessible, and they fall under symmetric, asymmetric and some other procedures. To choose an algorithm for secure information correspondence, the algorithm must to give higher Privacy, security and better effectiveness. Here in the data security for Medical Imaging, A Novel Metaheuristic optimizer named Dog-Crow Optimization Algorithm, The Dog-Crow Optimization Algorithm is based on the intelligent behaviour of the Dog and the Crow. The algorithm which works based on the idea that Crow Search mechanism for hiding their food and Warning alert with excess energy and Hunting Instinct of the Dog Search Mechanism. Dog-crow Optimization is used to scramble the restorative medical data with Low Convergence rate and Entrapment. And also the Dog-Crow optimization is used to overhaul the keys. The results obtained by Dog-Crow are compared with the results of various algorithms. Simulation results expose that using Dog-Crow may lead to finding capable results compared to the other existing algorithms. The presentation of the future methodology is assessed utilizing different estimates such as  PSNR, entropy, MSE and CC.