Issue No. 04 - April (2017 vol. 50)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MC.2017.108
Pete Burnap , Cardiff University
Yulia Cherdantseva , Cardiff University
Andrew Blyth , University of South Wales
Peter Eden , University of South Wales
Kevin Jones , Airbus Group Innovations
Hugh Soulsby , Airbus Group Innovations
Kristan Stoddart , Aberystwyth University
Any risk analysis of a large infrastructure that does not account for external dependencies is dangerously introspective. A top-down, goal-to-dependencies modeling approach can capture interdependencies and allow supply-chain entities to securely share risk data, calculate the likely impact of a failure, and respond accordingly.
Complex systems, Bayes methods, Analytical models, Biological system modeling, Risk management, Power generation, Data models
P. Burnap et al., "Determining and Sharing Risk Data in Distributed Interdependent Systems," in Computer, vol. 50, no. 4, pp. 72-79, 2017.