A Comprehensive Review of Blockchain and Federated Learning Integration for Secure Healthcare Systems

Abstract

The swift advancement and growth of Internet of Things (IoT)-based technologies have strengthened the way we live and our quality of life. Health is the most sensitive area of application of IoT given its relationship with human well-being. The use of IoT in healthcare is called the Internet of Medical Things (IoMT). It has become a booming trend aimed at improving the health and well-being of billions of people by providing seamless medical facilities and improving services provided by doctors, nurses, pharmaceutical companies and other governmental and related non-governmental organizations. The amount of data generated by the human body every day is two terabytes. We can now collect most of it by the advancement of these technologies including information on heart rate, sleep patterns, blood sugar, stress levels and even brain activity. That is why the security of this data, especially in real time, becomes a major concern. This article aims to explore the role of integration of Blockchain technology with federated learning in strengthening data security and ensuring privacy in healthcare sector. We aim to present a concise yet comprehensive overview of the Blockchain integration with federated learning in securing health data and ensuring privacy in the healthcare sector.