Performance Evaluation of a Secure System for Electronic Health Records (EHRs) using ECIES Algorithm and Blockchain Technology

Abstract

This study develops a robust and efficient system to protect distributed electronic health records (EHRs) and provide authorized users with reliable access. The registration process lets users choose secure, unique usernames as system identifiers. Then, authorized users can access their EHRs to improve healthcare delivery and decision-making. User authentication, data integrity, and data privacy are crucial for a reliable and secure healthcare ecosystem, according to this research. Enhanced cryptographic security protects user privacy and data integrity, according to the study. The proposed research addresses essential features like decentralized access, identity management, user authentication, data integrity, and data privacy, which is consistent with previous studies. The result of the proposed blockchain + ECIES model outperforms blockchain + IPFS and centralized storage systems, as the proposed approach performs well, especially for larger files. However, the proposed study's focus on cryptographic security makes it more comprehensive and effective at securing healthcare data. In conclusion, healthcare professionals can securely access and interact with EHRs using blockchain, the cloud, and strong cryptography.