Medical Image Detection & Privacy Management With Elliptic Curve GOPSO Cryptographic Optimization Technique on the Internet of Health Things

Abstract

The advent of the Internet of Things (IoT) is to transform the health care sector and lead to the development of the Internet of Health Things (IoHT). This technology exceeds existing human services mechanically, financially, and socially. This paper used an advanced cryptographic framework that includes optimization strategies to look at IoHT medical image protection. The patient data kept on a cloud server which was detected and sensed from the IoHT Healthcare devices. It's critical to ensure the safety and privacy of patient clinical images in the cloud; here, an enhanced security framework for health information promotes trust. Next, we presented health care providers who could provide the full range of medical facilities for IoHT participants. In the process of encrypting/decrypting elliptical curves, the optimal key is selected using the Grasshopper Particle Swarm Optimization (GOPSO) to increase the security standard of medical images. Medical images are protected within IoHT by using this approach.The implementation results were analyzed and compared with a variety of encryption algorithms and their optimization techniques. The effectiveness of the proposed methods and the results show that the medical image is secure and prevents attacks in IoHT-based health care systems.