Connected vehicles have great potential to benefit society, yet create huge challenges. Vehicles, infrastructure and enterprise activities combine to form massively complex systems of systems (SoSs) that are vulnerable to cyber-attacks. Security is ill-defined, making it difficult to achieve a consistent, common understanding of security capabilities across the diverse industries that collaborate to develop connected vehicles. Rigorous evaluation is essential for developing strong security assurance cases. This paper contributes a model-based systems engineering (MBSE) on- tology that enables integrated evaluation processes in enterprise SoSs. The Evaluation Ontology allows diverse types of evaluation to be captured in a single integrated model. A connected vehicle security story is presented to demonstrate the value of the approach. Benefits include enhanced business intelligence that can provide a quantifiable, reportable level of confidence in securi- ty-related processes and technologies. Further work will extend the ontology to develop a cus- tomisable suite of enabling patterns for security.
|Title of host publication||INCOSE International Symposium|
|Subtitle of host publication||The Proceedings of the Annual INCOSE International Symposium|
|Place of Publication||USA|
|Number of pages||16|
|Publication status||E-pub ahead of print - 27 Sept 2019|
|Event||29th Annual INCOSE International Symposium - Orlando, United States|
Duration: 20 Jul 2019 → 25 Jul 2019
Conference number: 29
|Conference||29th Annual INCOSE International Symposium|
|Period||20/07/19 → 25/07/19|
Bibliographical noteThis is the peer reviewed version of the following article: Powley, S, Perry, S, Holt, J & Bryans, J 2019, An Evaluation Ontology Applied to Connected Vehicle Security Assurance. in INCOSE International Symposium: The Proceedings of the Annual INCOSE International Symposium. 1 edn, vol. 29, INCOSE Proceedings, Wiley, USA, pp. 37-52, 29th Annual INCOSE International Symposium, Orlando, United States, 20/07/19 which has been published in final form at https://onlinelibrary.wiley.com/doi/abs/10.1002/j.2334-5837.2019.00588.x
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- model-based systems engineering