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Optimizing security vis-à-vis terrorist attacks. An application for public rail transport systems

Wiens, Marcus; Hu, Bo; Schmitz, Walter; Meng, Sascha; Pickl, Stefan; Schultmann, Frank

Abstract: study RiKoV deals with mitigating risks of a terrorist attack against the German public railway system. The research method and first results will be presented and discussed in this paper. In the project, a scenario-based risk assessment method was developed tailored to intelligent, rationally acting attackers. We consider risk as a function of the system’s vulnerability, the threat to the system, and the consequences of an attack. In particular, we apply three complementary ways to deal with the problem of fundamental uncertainty with respect to the terrorists’ motivation. In a first approach, the input parameters “intention” and “capability” are regarded as fuzzy parameters which are measured in qualitative categories. The second approach is the derivation of optimal rules in a multi-criteria framework for decisions under uncertainty. Finally, we complement our elaborated risk analysis with game-theoretic arguments.


Zugehörige Institution(en) am KIT Deutsch-Französisches Institut für Umweltforschung (DFIU)
Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Publikationstyp Proceedingsbeitrag
Jahr 2014
Sprache Englisch
Identifikator ISBN: 978-3-8396-0778-7
KITopen ID: 1000052950
Erschienen in 9th future security : proceedings / Security Research Conference, Berlin, September 16 - 18, 2014. Ed.: K. Thoma
Verlag Fraunhofer Verl., Stuttgart
Seiten 257–265
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