Thomas Termin, Bergische Universität Wuppertal (BUW), Institute for Security Systems (ISS), Germany
Supervisor: Univ.-Prof. Dr.-Ing. Kai-Dietrich Wolf, Univ.-Prof. Dr.-Ing. Tibor Jager
Keywords: Metrics, Security, Modeling, Physical Security, IT Security, Bayesian Networks, Expert Knowledge Elicitation, Decision-Making under Uncertainty
A highlight of this research is its comprehensive and systematic approach to assessing both the physical security and IT security of automotive mobile access systems. By adopting a holistic methodology, the study not only addresses specific challenges of metric and model compatibility, but also considers potential cross-domain impacts of scenarios from one security domain on the other. The research provides a well-rounded perspective on security risk assessment for systems that combine physical security and IT security aspects, and shows how expert knowledge on security capabilities can be linked within security metrics without contradiction. This approach can pave the way for more informed security-related decisions under uncertainty and assist in conducting cost-benefit analyses.
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