An Ontology-Based Framework for Cyber Range Representation

Cyber Ranges (CRs) are complex socio-technical ecosystems, combining infrastructure resources, software services, learning mechanisms, and human-in-the-loop processes for cybersecurity training, education, and experimentation. However, their design and representation are conventionally described by diverse architectural representations and a lack of standardization, making them difficult to compare, integrate, and reason in an automated manner. This paper proposes a novel framework that uniquely integrates the structural, functional, informational, and decisional aspects of CR platforms, formalizing them into a common semantic framework. It models the architectural and learning characteristics of CRs, allowing the representation of design choices, operational processes, information resources, and capability development. The ontology is implemented using OWL 2 DL, which includes logical constraints and enables consistency checking and automated reasoning. Validation through instantiation and competency question assessment shows that the model allows for structured querying, traceability across abstraction levels, and capability-level reasoning. The findings indicate that ontology-based modeling can serve as a basis for more formalized CR configuration analysis and capability-focused evaluation of diverse CR platforms.