Output details
22 - Social Work and Social Policy
University College London
Dynamic generation of event trees for risk modelling of terrorist attacks
First reported method (Google-scholar) using risk estimates to dynamically generate event-trees. This peer-reviewed paper was presented at the prestigious IEEE-HST conference and received interest from delegates from the Department for Homeland Security, Federal Emergency Management Agency, and MIT. Implemented in risk assessment software the output allows semi-automated identification of security vulnerabilities in smart buildings. It combines graph-theory, combinatorial optimization and quantitative risk theory, and was implemented for the EU project RIBS(no242497) to compare different security strategies (www.ribs-project.eu). The results have contributed to the validation of requirements for novel security systems including windows with asymmetric blast resistance characteristics.