Securing Private Keys in Electronic Health Records Using Session-Based Hierarchical Key Encryption

Omotosho, Adebayo and Emuoyibofarhe, Justice and Oke, Alice (2017) Securing Private Keys in Electronic Health Records Using Session-Based Hierarchical Key Encryption. Journal of Applied Security Research, 12 (4). pp. 463-477. ISSN 1936-1610

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Adebayo Omotosho Securing Private Keys in Electronic Health Records Using Session-Based Hierarchical Key Encryption.pdf

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Official URL: http://dx.doi.org/10.1080/19361610.2017.1354272

Abstract

Patients want the assurance that the confidentiality of their records accessed through Electronic Health Records (EHR) are safe. With increasing implementation of EHR for health care, privacy concern remains a barrier that limits patients’ favorable judgment of this technology. Sensitive records can be compromised, and this represents problems in EHRs, which are considered to be more efficient, less error prone, and of higher availability compared to traditional paper health records. In this article, a session based hierarchical key encryption system was developed that allows patient to have full control over certain nodes of their health records. Health records were organized in a hierarchical structure with records further broken down into subcategories. Cryptography was used to encrypt the health records in their different subcategories. Patients’ generate a root keys using Blum Blum Shub Algorithm for pseudorandom number generator from which the session-based subkeys were derived, and only authorize users can access these records within a designated period marked as session. The system development demonstrates one way patients’ privacy and security can improve using session based hierarchical key encryption system for EHR.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
R Medicine > R Medicine (General)
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Dr Adebayo Omotosho
Date Deposited: 30 Nov 2018 10:58
Last Modified: 30 Nov 2018 10:58
URI: https://eprints.lmu.edu.ng/id/eprint/1451

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