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An ontology-based secure design framework for graph-based databases.

Authors :
Paneque, Manuel
Roldán-García, María del Mar
Blanco, Carlos
Maté, Alejandro
Rosado, David G.
Trujillo, Juan
Source :
Computer Standards & Interfaces. Mar2024, Vol. 88, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Graph-based databases are concerned with performance and flexibility. Most of the existing approaches used to design secure NoSQL databases are limited to the final implementation stage, and do not involve the design of security and access control issues at higher abstraction levels. Ensuring security and access control for Graph-based databases is difficult, as each approach differs significantly depending on the technology employed. In this paper, we propose the first technology-ascetic framework with which to design secure Graph-based databases. Our proposal raises the abstraction level by using ontologies to simultaneously model database and security requirements together. This is supported by the TITAN framework, which facilitates the way in which both aspects are dealt with. The great advantages of our approach are, therefore, that it: allows database designers to focus on the simultaneous protection of security and data while ignoring the implementation details; facilitates the secure design and rapid migration of security rules by deriving specific security measures for each underlying technology, and enables database designers to employ ontology reasoning in order to verify whether the security rules are consistent. We show the applicability of our proposal by applying it to a case study based on a hospital data access control. • Database designers can focus on data to be protected, ignoring the implementation. • Facilitates quick migration of security rules to each underlying database technology. • Enable checking whether the security rules are consistent through ontology reasoning. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09205489
Volume :
88
Database :
Academic Search Index
Journal :
Computer Standards & Interfaces
Publication Type :
Academic Journal
Accession number :
173852802
Full Text :
https://doi.org/10.1016/j.csi.2023.103801