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Decision and Game Theory for Security

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Cover of 'Decision and Game Theory for Security'

Table of Contents

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    Book Overview
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    Chapter 1 Beyond Nash Equilibrium: Solution Concepts for the 21st Century
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    Chapter 2 Network Security Games: Combining Game Theory, Behavioral Economics, and Network Measurements
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    Chapter 3 Indices of Power in Optimal IDS Default Configuration: Theory and Examples
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    Chapter 4 Exploiting Adversary’s Risk Profiles in Imperfect Information Security Games
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    Chapter 5 An Anti-jamming Strategy for Channel Access in Cognitive Radio Networks
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    Chapter 6 Node Capture Games: A Game Theoretic Approach to Modeling and Mitigating Node Capture Attacks
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    Chapter 7 Multi-variate Quickest Detection of Significant Change Process
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    Chapter 8 Interplay between Security Providers, Consumers, and Attackers: A Weighted Congestion Game Approach
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    Chapter 9 Network Games with and without Synchroneity
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    Chapter 10 An Asymptotic Solution of Dresher’s Guessing Game
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    Chapter 11 Security Games with Market Insurance
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    Chapter 12 Aegis A Novel Cyber-Insurance Model
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    Chapter 13 Maximizing Influence in Competitive Environments: A Game-Theoretic Approach
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    Chapter 14 Collaborative Location Privacy with Rational Users
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    Chapter 15 Digital Trust Games: An Experimental Study
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    Chapter 16 Colonel Blotto in the Phishing War
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    Chapter 17 Investment in Privacy-Preserving Technologies under Uncertainty
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    Chapter 18 Modeling Internet Security Investments: Tackling Topological Information Uncertainty
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Title
Decision and Game Theory for Security
Published by
Springer, Berlin, Heidelberg, January 2011
DOI 10.1007/978-3-642-25280-8
ISBNs
978-3-64-225279-2, 978-3-64-225280-8
Editors

John S. Baras, Jonathan Katz, Eitan Altman