Multi-Layered Blockchain-Based Security Model for Electronic Health Record Systems

Author:

Hiremath Mrutyunjaya S.1ORCID,Biradar Rajashekhar C.2

Affiliation:

1. School of Electronics and Communication, REVA University, Bangalore, India & Department of Image Processing, eMath Technology, Pvt. Ltd. Bangalore, India

2. School of Electronics and Communication, Reva University, Bangalore, India

Abstract

The multi-layered blockchain-based electronic health records (ML-BbEHR) framework aims to address persistent healthcare issues such as data privacy and access control. Utilizing a multi-layered blockchain architecture, ML-BbEHR segments EHR data into categories like medical histories and clinical datasets, each managed within its distinct blockchain layer. This enhances security and optimizes data management. Unlike single-layer systems, this architecture mitigates latency issues. Additionally, the framework incorporates fingerprint authentication as an alternative to traditional cryptographic keys, bolstering patient identity verification. Smart contracts are also deployed across layers to delineate rules and permissions for healthcare data access, enhancing data integrity and security. This architecture is built on a general, non-specific blockchain platform chosen for its robust security features.

Publisher

IGI Global

Reference33 articles.

1. MedRec: Using Blockchain for Medical Data Access and Permission Management

2. Biometric-Based Blockchain EHR System (BBEHR)

3. Barka, E., Dahmane, S., Kerrache, C. A., Khayat, M., & Sallabi, F. (2021). STHM: A Secured and Trusted Healthcare Monitoring Architecture Using SDN and Blockchain. Electronics, 10, 1787.

4. The architecture of the hyper ledger blockchain fabric.;C.Cachin;Workshop on Distributed Cryptocurrencies and Consensus Ledgers,2016

5. Caliper, H. (2019). Hyperledger Caliper Architecture. Hyperledger. (https://hyperledger.github.io/caliper/docs/2_Architecture) (accessed on 15 September 2020).

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