Paper Title
Secure Healthcare Data Sharing Using an AI-Based Elliptical Curve Digital Signature Algorithm in Cloud

Abstract
The Internet of Things, which links various types of medical data and expands connection beyond conventional computer platforms, was created as anoutcome of the growth of healthcare data sharing apps. IoT It is expected that medical data will participate a crucial position in creating the Internet of Medical Things in this networked society. The objective of safeguarding these networks is still unmet, despite some continuous attempts to provide network connection in such an environment. In order to achieve zero trust and safe communication in these networks, the Elliptical Curve Digital Signature Algorithm shows a lot of potential. Security of IoMT. ECSDA streamlines the key management procedure by doing away with the requirement for certificates and related key management infrastructure. Faster processing times and lower key sizes are also made possible by ECSDA, which is essential for IoMT devices with constrained resources. In this work, we provide ECSDA, a zero-trust protection framework for Internet of Medical Things, as a way to protect IoT networks in a medical setting. We optimize the ECSDA parameters utilizing two essential artificial intelligence techniques, namely Genetic Algorithm and Ant colony Optimization, to improve the framework's security and resilience. According to evaluation results, GA optimization and ACO optimization reduce the time required to generate ECSDA parameters by more than 40% and 20%, respectively. Further, for large ECC attacks, the memory use and computational cost rose by up to 67% and 40% for Rho assaults, 34% and 53% for brute-force attacks, and 30% and 67% for better hybrid attacks. Keywords - Elliptical Curve Digital Signature Algorithm (ECDSA), Genetic Algorithm (GA), AntColony Optimization (ACO), Internet of Medical Things (IoMT).