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Game Theory for Managing Security in Chemical Industrial Areas

  • Laobing Zhang
  • Genserik Reniers

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Laobing Zhang, Genserik Reniers
    Pages 25-41
  3. Laobing Zhang, Genserik Reniers
    Pages 111-149
  4. Laobing Zhang, Genserik Reniers
    Pages 151-157

About this book

Introduction

This book systematically studies how game theory can be used to improve security in chemical industrial areas, capturing the intelligent interactions between security managers and potential adversaries. The recent unfortunate terrorist attacks on critical infrastructures show that adversaries are intelligent and strategic. Game theoretic models have been extensively used in some domains to model these strategic adversaries. However, there is a lack of such advanced models to be employed by chemical security managers. 

In this book, game theoretic models for protecting chemical plants as well as clusters are proposed. Different equilibrium concepts are explored, with user-friendly explanation of how to reflect them to realistic cases. Based on efficient analysis of the properties of security issues in chemical plants/clusters, models in this book are capable to support resources allocations, cost-effectiveness analysis, cooperation incentives and alike.

Keywords

chemical plant security security game cyber-physical security irrational players security defence systems detection systems in chemical plants chemical clusters protection

Authors and affiliations

  • Laobing Zhang
    • 1
  • Genserik Reniers
    • 2
  1. 1.Safety and Security Science GroupDelft University of TechnologyDelftThe Netherlands
  2. 2.Safety and Security Science GroupDelft University of TechnologyDelftThe Netherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-92618-6
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Economics and Finance
  • Print ISBN 978-3-319-92617-9
  • Online ISBN 978-3-319-92618-6
  • Series Print ISSN 1613-5113
  • Series Online ISSN 2363-9466
  • Buy this book on publisher's site
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