An Evaluation Ontology Applied to Connected Vehicle Security Assurance: Enhancing enterprise capability and business intelligence through modelling of evaluation processes and outcomes

Stephen Powley, Simon Perry, Jeremy Bryans, Jon Holt

Research output: Contribution to conferencePoster


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. The Evaluation Ontology enables integrated evaluation processes in enterprise SoSs, allowing diverse types of evaluation to be captured in a single integrated model. The paper [1] on which this poster is based presents a connected vehicle security story to demonstrate the value of the approach. Benefits include enhanced business intelligence for a quantifiable, reportable level of confidence in security-related processes and technologies. Further work will extend the ontology to develop a customisable suite of enabling patterns for security.
[1] Powley, S, Perry, S, Bryans, J, Holt, J; An Evaluation Ontology Applied to Connected Vehicle Security Assurance; Proceedings of the 29th Annual INCOSE International Symposium; INCOSE
Original languageEnglish
Number of pages1
Publication statusPublished - 20 Nov 2019
EventAnnual Systems Engineering Conference 2019: Celebrating the Future of Systems Engineering - The Royal Armories Museum, Leeds, United Kingdom
Duration: 19 Nov 201920 Nov 2019
Conference number: 11


ConferenceAnnual Systems Engineering Conference 2019
Abbreviated titleASEC 2019
CountryUnited Kingdom
Internet address



  • ontology
  • ontologies
  • Architectural frameworks
  • architecture
  • cyber security
  • cybersecurity
  • automotive cybersecurity
  • Automotive
  • MBSE
  • model based systems engineering
  • business intelligence

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