Literature DB >> 26890089

A Game-Theoretical Model to Improve Process Plant Protection from Terrorist Attacks.

Laobing Zhang1, Genserik Reniers1,2,3.   

Abstract

The New York City 9/11 terrorist attacks urged people from academia as well as from industry to pay more attention to operational security research. The required focus in this type of research is human intention. Unlike safety-related accidents, security-related accidents have a deliberate nature, and one has to face intelligent adversaries with characteristics that traditional probabilistic risk assessment techniques are not capable of dealing with. In recent years, the mathematical tool of game theory, being capable to handle intelligent players, has been used in a variety of ways in terrorism risk assessment. In this article, we analyze the general intrusion detection system in process plants, and propose a game-theoretical model for security management in such plants. Players in our model are assumed to be rational and they play the game with complete information. Both the pure strategy and the mixed strategy solutions are explored and explained. We illustrate our model by an illustrative case, and find that in our case, no pure strategy but, instead, a mixed strategy Nash equilibrium exists.
© 2016 Society for Risk Analysis.

Entities:  

Keywords:  Game theory; process plant security; strategic adversaries; terrorism risk assessment

Year:  2016        PMID: 26890089     DOI: 10.1111/risa.12569

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  2 in total

1.  AbSRiM: An Agent-Based Security Risk Management Approach for Airport Operations.

Authors:  Stef Janssen; Alexei Sharpanskykh; Richard Curran
Journal:  Risk Anal       Date:  2019-02-05       Impact factor: 4.000

2.  Playing Chemical Plant Environmental Protection Games with Historical Monitoring Data.

Authors:  Zhengqiu Zhu; Bin Chen; Genserik Reniers; Laobing Zhang; Sihang Qiu; Xiaogang Qiu
Journal:  Int J Environ Res Public Health       Date:  2017-09-29       Impact factor: 3.390

  2 in total

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