Blockchain and cloud computing-based secure electronic healthcare records storage and sharing

【Author】 Amanat, Amna; Rizwan, Muhammad; Maple, Carsten; Zikria, Yousaf Bin; Almadhor, Ahmad S.; Kim, Sung Won

【Source】FRONTIERS IN PUBLIC HEALTH

【影响因子】6.461

【Abstract】Healthcare information is essential for both service providers and patients. Further secure sharing and maintenance of Electronic Healthcare Records (EHR) are imperative. EHR systems in healthcare have traditionally relied on a centralized system (e.g., cloud) to exchange health data across healthcare stakeholders, which may expose private and sensitive patient information. EHR has struggled to meet the demands of several stakeholders and systems in terms of safety, isolation, and other regulatory constraints. Blockchain is a distributed, decentralized ledger technology that can provide secured, validated, and immutable data sharing facilities. Blockchain creates a distributed ledger system using techniques of cryptography (hashes) that are consistent and permit actions to be carried out in a distributed manner without needing a centralized authority. Data exploitation is difficult and evident in a blockchain network due to its immutability. We propose an architecture based on blockchain technology that authenticates the user identity using a Proof of Stake (POS) cryptography consensus mechanism and Secure Hash Algorithm (SHA256) to secure EHR sharing among different electronic healthcare systems. An Elliptic Curve Digital Signature Algorithm (ECDSA) is used to verify EHR sensors to assemble and transmit data to cloud infrastructure. Results indicate that the proposed solution performs exceptionally well when compared with existing solutions, which include Proof-Of-Work (POW), Secure Hash Algorithm (SHA-1), and Message Digest (MD5) in terms of power consumption, authenticity, and security of healthcare records.

【Keywords】blockchain; cloud computing; electronic healthcare records; decentralized; Internet of Things

【发表时间】2022 19-Jul

【收录时间】2022-08-15

【文献类型】理论模型

【主题类别】

区块链应用-实体经济-医疗领域