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A Framework for a Uniform Quantitative Description of Risk with Respect to Safety and Security

Beyerer, Jürgen; Geisler, Jürgen

Abstract (englisch):

A mathematical framework is presented that describes risk in the context of safety and security problems quantitatively and in an integrative way. Great importance is laid on a clear notation with a sound semantics. Essentially, this seminal contribution is a substantially expanded version of our short paper “A quantitative risk model for a uniform description of safety and security”, which we presented to the 10th Future Security 2015 in Berlin (A quantitative risk model for a uniform description of safety and security. In: Proceedings of the 10th Future security—security research conference, pp 317–324, 2015). The key concept of this paper is a quantitative formulation of risk. Uncertainties are modelled based on probability distributions. Risk due to purely stochastic sources of danger is based on objective notions of probabilities and costs whereas risks of individuals (intelligent agents) are described from their own points of view, i.e. in a fully subjective manner, since individuals draw their decisions based on their subjective assessments of potential costs and of frequencies of event occurrence. Therefore, probability is interpreted in a Bayesian context as a degree of belief (DoB). ... mehr

DOI: 10.1007/s41125-016-0008-y
Zitationen: 133
Zugehörige Institution(en) am KIT Institut für Anthropomatik und Robotik (IAR)
Kompetenzzentrum für angewandte Sicherheitstechnologie (KASTEL)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2016
Sprache Englisch
Identifikator ISSN: 2365-0931, 2365-1695
KITopen-ID: 1000071783
Erschienen in European Journal for Security Research
Band 1
Heft 2
Seiten 135–150
Projektinformation KASTEL_SVI (BMBF, EU 6. RP, 16KIS0521)
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