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Home / programming language / Online Java Projects / Electronic Health Records (EHRs) Mobile Cloud based E-health Systems
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Electronic Health Records (EHRs) Mobile Cloud based E-health Systems

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Categories: 2019-2020 Projects, Cloud Computing Projects, Online Java Projects Tags: 2019 projects, 2019-2020 Projects, access control, Blockchain, EHRs sharing, Electronic Health Records (EHRs), IEEE Projects, Internet of Medical Things (IoMT), Mobile Cloud Computing (MCC), Privacy, security, smart contracts
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Blockchain for Secure EHRs Sharing of Mobile Cloud based E-health Systems

Abstract-Recent years have witnessed a paradigm shift in storage of Electronic Health Records (EHRs) on mobile cloud environments where mobile devices are integrated with cloud computing to facilitate medical data exchanges among patients and healthcare providers. This advanced model enables healthcare services with low operational cost, high flexibility and EHRs availability. However, this new paradigm also raises concerns about data privacy and network security for e-health systems. How to reliably share EHRs among mobile users while guaranteeing high security levels in mobile cloud is a challenging issue. In this paper, we propose a novel EHRs sharing framework that combines blockchain and the decentralized interplanetary file system (IPFS) on a mobile cloud platform. Particularly, we design a trustworthy access control mechanism using smart contracts to achieve secure EHRs sharing among different patients and medical providers. We present a prototype implementation using Ethereum blockchain in a real data sharing scenario on a mobile app with Amazon cloud computing. Empirical results show that our proposal provides an effective solution for reliable data exchanges on mobile clouds while preserving sensitive health information against potential threats. The system evaluation and security analysis also demonstrate performance improvements in lightweight access control design, minimum network latency with high security and data privacy levels, compared to existing data sharing models.

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