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Dynamic games for network security / Xiaofan He, Huaiyu Dai.

He, Xiaofan, author.; Dai, Huaiyu, 1973- author.
2018
TK5105.59
Available Online
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Title
Dynamic games for network security / Xiaofan He, Huaiyu Dai.
Author
He, Xiaofan, author.
ISBN
9783319758718 (electronic book)
3319758713 (electronic book)
9783319758701
3319758705
DOI
https://doi.org/10.1007/978-3-319-75871-8
Published
Cham, Switzerland : Springer, 2018.
Language
English
Description
1 online resource (x, 74 pages).
Item Number
10.1007/978-3-319-75871-8 doi
Call Number
TK5105.59
Dewey Decimal Classification
005.8
Summary
The goal of this SpringerBrief is to collect and systematically present the state-of-the-art in this research field and the underlying game-theoretic and learning tools to the broader audience with general network security and engineering backgrounds. Particularly, the exposition of this book begins with a brief introduction of relevant background knowledge in Chapter 1, followed by a review of existing applications of SG in addressing various dynamic network security problems in Chapter 2. A detailed treatment of dynamic security games with information asymmetry is given in Chapters 3-5. Specifically, dynamic security games with extra information that concerns security competitions, where the defender has an informational advantage over the adversary are discussed in Chapter 3. The complementary scenarios where the defender lacks information about the adversary is examined in Chapter 4 through the lens of incomplete information SG. Chapter 5 is devoted to the exploration of how to proactively create information asymmetry for the defender's benefit. The primary audience for this brief includes network engineers interested in security decision-making in dynamic network security problems. Researchers interested in the state-of-the-art research on stochastic game theory and its applications in network security will be interested in this SpringerBrief as well. Also graduate and undergraduate students interested in obtaining comprehensive information on stochastic game theory and applying it to address relevant research problems can use this SpringerBrief as a study guide. Lastly, concluding remarks and our perspective for future works are presented in Chapter 6.
Bibliography, etc. Note
Includes bibliographical references.
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Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 6, 2018).
Added Author
Dai, Huaiyu, 1973- author.
Series
SpringerBriefs in electrical and computer engineering.
Available in Other Form
Print version: 9783319758701
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Intro; Preface; Contents; 1 Preliminaries; 1.1 Introduction; 1.2 Elementary of Game Theory; 1.3 The Markov Decision Process; 1.3.1 The MDP Model; 1.3.2 Solving the MDP; 1.4 The Stochastic Games; 1.4.1 The Model of SG; 1.4.2 Solving the SG; 1.5 Summary; References; 2 Overview of Dynamic Network Security Games; 2.1 Introduction; 2.2 Applications in Cyber Networks; 2.3 Applications in Wireless Networks; 2.4 Applications in Cyber-Physical Networks; 2.5 Summary; References; 3 Dynamic Security Games with Extra Information; 3.1 Introduction; 3.2 Post-decision State; 3.3 Multi-Agent PDS Learning

3.3.1 The Minimax-PDS Algorithm3.3.2 WoLF-PDS; 3.4 Security Applications; 3.4.1 Anti-jamming in Energy Harvesting CommunicationSystems; 3.4.2 Cloud-Based Security Game; 3.5 Summary; References; 4 Dynamic Security Games with Incomplete Information; 4.1 Introduction; 4.2 Background on Repeated Bayesian Game; 4.3 Bayesian SGs; 4.3.1 Bayesian SG Model; 4.3.2 Bayesian Nash Q-Learning; 4.4 Security Applications; 4.4.1 Dynamic Intrusion Detection System Configuration; 4.4.2 Spectrum Access in Adversarial Environment; 4.5 Summary; References; 5 Dynamic Security Games with Deception; 5.1 Introduction

5.2 Stochastic Deception Games5.2.1 The SDG Model; 5.2.2 Solving the SDG; 5.3 A Security Application; 5.4 Summary; References; 6 Conclusion and Future Work; 6.1 Summary; 6.2 Future Works

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