Integrating the API SRA methodology and game theory for improving chemical plant protection

Journal article (2018)

Authors

L. Zhang Safety and Security Science - TPM
G.L.L.M.E. Reniers Katholieke Universiteit Leuven, Safety and Security Science - TPM , Universiteit Antwerpen
Bin Chen National University of Defense Technology
Xiaogang Qiu National University of Defense Technology
Research Group
Safety and Security Science (TPM) (TU Delft)
Game theory Security risk assessment Chemical plant protection ANSI/API standard 780
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Published Date

2018

Language

English

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Faculty

Technology, Policy and Management

Department

Values Technology and Innovation

Research Group

Safety and Security Science

Abstract

Game theory has been employed in academia to study the improvement of security in chemical plants. Being able to model intelligent interactions between adaptive adversaries and defenders is the main advantage of game theory, while the main criticisms of the usage of game theory is that it is mathematically complicated and that it over-simplifies reality. The ANSI/API standard 780 on Security Risk Assessment for the petroleum and petrochemical industries (abbreviated as the “API SRA methodology”), conversely, provides a systematic approach for obtaining qualitative or semi-quantitative data, and is criticized on its failure at modelling strategic (and intelligent) adversaries. Integration of game theory and the API SRA methodology for improving chemical plant protection is therefore an interesting domain of study. In this paper, the API SRA methodology bridges the gap between “chemical security reality” and “chemical security theory (that is, game theoretic models)”, by providing quantitative inputs for game theoretic models and by reflecting on game theoretic results with respect to industrial practice.