Game Theory for Managing Security in Chemical Industrial Areas (Hardcover, 1st ed. 2018)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Advanced Sciences and Technologies for Security Applications
Release date:	July 2018
First published:	2018
Authors:	Laobing Zhang • Genserik Reniers
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	157
Edition:	1st ed. 2018
ISBN-13:	978-3-319-92617-9
Categories:	Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Science & Mathematics > Mathematics > Optimization > Game theory Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Industrial chemistry > General Books > Professional & Technical > Civil engineering, surveying & building > Building construction & materials > Security & fire alarm systems Books > Business & Economics > Business & management > Management & management techniques > Management decision making > General
LSN:	3-319-92617-9
Barcode:	9783319926179

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