An Efficient and Privacy-Preserving Sensitive Medical Data Sharing Protocol

The aim of digital healthcare systems and the Internet of Medical Things (IOMT) is the ease of accessing high-quality healthcare from the comfort of one’s own residence.Therefore, the widespread implementation of home-based healthcare systems is the goal of IoMT. Millions of lives can be saved by developing intelligent and effective systems for the early detection of serious diseases, which also reduces the load on established healthcare institutions like hospitals.Patients and physicians now have access to real-time data because to IOT advancements. Because of this breakthrough’s use of effective sensors and communication technologies, digital healthcare systems are now less expensive and energy-intensive. This document introduces a method, for handling security and privacy issues related to the gathering, storage and use of data in a healthcare setting. Sensitive genetic data is securely transmitted and stored using a novel protocol through use of homomorphic encryption (FHE). Users can upload their data to cloud servers where it is encrypted and stored.Furthermore, the use of homomorphic encryption eliminates the need for encryption decryption cycles, guaranteeing data security, and enables AI models to be trained directly upon encrypted data. Additionally, The encrypted anonymous data may be shared for training purposes with outside organisations. Finally, the article examines various digital innovations in the healthcare context, their opportunities, limitations, and current challenges facing the e-health industry.