Security and Privacy Enhancement in Healthcare with Blockchain Technology

Abstract

The present thesis report centers on the design and analysis of an architecture for a newlinesmart healthcare system that prioritizes privacy and security. Its primary objective is to address newlinethe security and privacy concerns associated with patient medical data in various computing newlineparadigms. The rapid growth of the Internet of Medical Things (IoMT) has sparked a transformative newlinerevolution in smart healthcare systems, enabling the provision of advanced real-time services. newlineNevertheless, this progress has also raised significant apprehensions regarding privacy and newlinesecurity. The diverse nature of IoMT devices presents a formidable challenge in devising a newlinestandardized security solution that accommodates their varying characteristics. Furthermore, the newlineprevalent reliance on cloud computing in existing cloud-centric IoMT systems, responsible for newlinestoring electronic health records (EHR) and facilitating medical services, proves inadequate for newlinethe decentralized nature of IoMT healthcare systems. newlineIn order to overcome these challenges, we propose a novel Fortified-chain architecture based on newlineblockchain technology. This architecture ensures decentralized EHR and facilitates service newlineautomation through smart contracts while maintaining the highest standards of system security and newlineprivacy. Our proposed architecture introduces an innovative hybrid computing paradigm that newlinesynergistically combines the advantages offered by blockchain technology and distributed data newlinestorage. By harnessing the strengths of these technologies, we effectively address the inherent newlinelimitations of cloud-centric IoMT systems, including increased latency, excessive storage costs, newlineand the presence of single points of failure. Moreover, we enhance the security capabilities of the newlinesystem by introducing a decentralized selective ring-based access control mechanism, robust device newlineauthentication protocols, and advanced algorithms for anonymizing patient records. Collectively, newlinethese measures safeguard sensitive healthcare data and reinforce user privac