A FAIRification Framework for the Findability, Accessibility, Interoperability and Reusability of Cyber Security Ontologies Using FAIR Data Principles.

Abstract

This paper proposes a FAIR-inspired framework for integrated cyber security ontologies that offers a systematic approach to applying FAIR data principles in the field of cyber security.The framework is developed based on a combination of adopted research and incorporates the FAIRification process.This FAIRification process is instrumental in guiding the development of cyber security ontology models, which are essential for realizing the principles of Findability, Accessibility, Interoperability, and Reusability.The framework addresses the absence of applied FAIR standards in existing cyber security ontology models, utilizing sampled cyber security models as reference systems for source data.The resulting cyber security ontology models create a virtual data warehouse, integrating data from domain experts and existing models.The FAIRification process emphasizes collaboration among cyber security stakeholders, including private and public entities, analysts, engineers, and administrators, to ensure the meaningful interpretation of data based on cyber security ontologies.Detailed discussions within the framework cover the FAIR principles, outlining specific criteria for Findability, Accessibility, Interoperability, and Reusability.Notably, the framework emphasizes the importance of formal, accessible, shared, and broadly applicable language for knowledge representation in achieving Interoperability.Further components of the framework involve the curation and validation of data, development of cyber security ontology data models, and the creation of ontology metadata models.These models play a crucial role in making cyber security data Findable, Accessible, and Reusable, aligning with the FAIR principles.Additionally, data management systems, including the dataset integration system and resource metadata system, are introduced to facilitate the integration and annotation of ontologized data.The framework's use of a data triplestore, FAIR data, and the grlc server enhances the Accessibility of cyber security data on the web.The triplestore represents knowledge graphs in RDF, allowing for efficient querying through SPARQL.The grlc server further facilitates the generation of web APIs, making cyber security data Accessible in an open, free, and universally implementable manner.