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Game Theory for Security and Risk Management

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Cover of 'Game Theory for Security and Risk Management'

Table of Contents

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    Book Overview
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    Chapter 1 Utilizing Game Theory for Security Risk Assessment
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    Chapter 2 Decision Making When Consequences Are Random
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    Chapter 3 Security Strategies and Multi-Criteria Decision Making
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    Chapter 4 A Scalable Decomposition Method for the Dynamic Defense of Cyber Networks
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    Chapter 5 Factored Markov Game Theory for Secure Interdependent Infrastructure Networks
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    Chapter 6 G-DPS: A Game-Theoretical Decision-Making Framework for Physical Surveillance Games
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    Chapter 7 A Game-Theoretic Framework for Securing Interdependent Assets in Networks
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    Chapter 8 Random Damage in Interconnected Networks
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    Chapter 9 Optimal Dispatch of Electrical Transmission Systems Considering Interdependencies with Natural Gas Systems
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    Chapter 10 Managing Security Risks Interdependencies Between ICT and Electric Infrastructures: A Game Theoretical Analysis
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    Chapter 11 Security and Interdependency in a Public Cloud: A Game-Theoretic Approach
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    Chapter 12 A Risk Management Approach for Highly Interconnected Networks
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    Chapter 13 Protecting Water Utility Networks from Advanced Persistent Threats: A Case Study
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    Chapter 14 Assessing the Impact of Malware Attacks in Utility Networks
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    Chapter 15 Game-Theoretic Optimization for Physical Surveillance of Critical Infrastructures: A Case Study
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    Chapter 16 Smart SECPLAN: A Process Implementation Tool for Hybrid Risk Management
Attention for Chapter 11: Security and Interdependency in a Public Cloud: A Game-Theoretic Approach
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Chapter title
Security and Interdependency in a Public Cloud: A Game-Theoretic Approach
Chapter number 11
Book title
Game Theory for Security and Risk Management
Published by
Birkhäuser, Cham, January 2018
DOI 10.1007/978-3-319-75268-6_11
Book ISBNs
978-3-31-975267-9, 978-3-31-975268-6

Charles A. Kamhoua, Luke Kwiat, Kevin A. Kwiat, Joon S. Park, Ming Zhao, Manuel Rodriguez, Kamhoua, Charles A., Kwiat, Luke, Kwiat, Kevin A., Park, Joon S., Zhao, Ming, Rodriguez, Manuel

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 17%
Student > Doctoral Student 1 17%
Student > Master 1 17%
Unknown 3 50%
Readers by discipline Count As %
Nursing and Health Professions 1 17%
Business, Management and Accounting 1 17%
Unknown 4 67%