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| Hauptverfasser: | , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2512.01651 |
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| _version_ | 1866909938000855040 |
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| author | Leblanc, Antoine Robin, Jacques Rabah, Nourhène Ben Huang, Zequan Grand, Bénédicte Le |
| author_facet | Leblanc, Antoine Robin, Jacques Rabah, Nourhène Ben Huang, Zequan Grand, Bénédicte Le |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_01651 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Rethinking Cybersecurity Ontology Classification and Evaluation: Towards a Credibility-Centered Framework Leblanc, Antoine Robin, Jacques Rabah, Nourhène Ben Huang, Zequan Grand, Bénédicte Le Cryptography and Security 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. |
| title | Rethinking Cybersecurity Ontology Classification and Evaluation: Towards a Credibility-Centered Framework |
| topic | Cryptography and Security |
| url | https://arxiv.org/abs/2512.01651 |