{"ID":2834499,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2512.01651","arxiv_id":"2512.01651","title":"Rethinking Cybersecurity Ontology Classification and Evaluation: Towards a Credibility-Centered Framework","abstract":"This paper analyzes the proliferation of cybersecurity ontologies, arguing that this surge cannot be explained solely by technical shortcomings related to quality, but also by a credibility deficit - a lack of trust, endorsement, and adoption by users. This conclusion is based on our first contribution, which is a state-of-the-art review and categorization of cybersecurity ontologies using the Framework for Ontologies Classification framework. To address this gap, we propose a revised framework for assessing credibility, introducing indicators such as institutional support, academic recognition, day-to-day practitioner validation, and industrial adoption. Based on these new credibility indicators, we construct a classification scheme designed to guide the selection of ontologies that are relevant to specific security needs. We then apply this framework to a concrete use case: the Franco-Luxembourgish research project ANCILE, which illustrates how a credibility-aware evaluation can reshape ontology selection for operational contexts.","short_abstract":"This paper analyzes the proliferation of cybersecurity ontologies, arguing that this surge cannot be explained solely by technical shortcomings related to quality, but also by a credibility deficit - a lack of trust, endorsement, and adoption by users. This conclusion is based on our first contribution, which is a stat...","url_abs":"https://arxiv.org/abs/2512.01651","url_pdf":"https://arxiv.org/pdf/2512.01651v1","authors":"[\"Antoine Leblanc\",\"Jacques Robin\",\"Nourhène Ben Rabah\",\"Zequan Huang\",\"Bénédicte Le Grand\"]","published":"2025-12-01T13:25:05Z","proceeding":"cs.CR","tasks":"[\"cs.CR\"]","methods":"[]","has_code":false}