Supporting Cybersecurity Risk Management for Medical Devices via the SECUMAN Ontology and Shapes

Abstract:We propose the SECUMAN ontology and shapes for representing and analysing cybersecurity risk-management documentation for medical devices. Cybersecurity risks are increasingly relevant for connected medical devices and may have direct consequences for patient safety. Current risk-management files are often maintained as semi-structured natural language text, which makes consistency checking, certification review, and reuse difficult. SECUMAN provides a formal OWL-based vocabulary for modelling security-risk context, assessment, control measures, and residual-risk evaluation, and uses SHACL constraints to check structural completeness and conformity with the intended documentation model. The ontology is aligned with VDE Spec 90025 and the related RISKMAN ontology and shapes, while extending their safety-oriented approach to concepts relevant to cybersecurity risk documentation such as threat scenarios, protection goals, attacker profiles, exposure levels, assets, and secure design arguments. SECUMAN is intended to support automated first-pass validation, traceability, and integration of cybersecurity and safety risk-management documentation.

Cryptography and Security (cs.CR); Artificial Intelligence (cs.AI)

arXiv:2608.00698 [cs.CR]

(or arXiv:2608.00698v1 [cs.CR] for this version)

https://doi.org/10.48550/arXiv.2608.00698 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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