Game Theory for Cyber Deception / Static & Dynamic Game Theory: Foundations & Applications (PDF)

Name: Game Theory for Cyber Deception / Static & Dynamic Game Theory: Foundations & Applications
Brand: Springer International Publishing
SKU: 139156988
Price: 106.99 EUR
Availability: OnlineOnly

From Theory to Applications (Sprache: Englisch)

Autoren: Jeffrey Pawlick , Quanyan Zhu

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Game Theory for Cyber Deception / Static & Dynamic Game Theory: Foundations & Applications, Jeffrey Pawlick, Quanyan Zhu

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This book introduces game theory as a means to conceptualize, model, and analyze cyber deception. Drawing upon a collection of deception research from the past 10 years, the authors develop a taxonomy of six species of defensive cyber deception. Three of these six species are highlighted in the context of emerging problems such as privacy against ubiquitous tracking in the Internet of things (IoT), dynamic honeynets for the observation of advanced persistent threats (APTs), and active defense against physical denial-of-service (PDoS) attacks. Because of its uniquely thorough treatment of cyber deception, this book will serve as a timely contribution and valuable resource in this active field.

The opening chapters introduce both cybersecurity in a manner suitable for game theorists and game theory as appropriate for cybersecurity professionals. Chapter Four then guides readers through the specific field of defensive cyber deception. A key feature of the remaining chapters is the development of a signaling game model for the species of leaky deception featured in honeypots and honeyfiles. This model is expanded to study interactions between multiple agents with varying abilities to detect deception.

Game Theory for Cyber Deception will appeal to advanced undergraduates, graduate students, and researchers interested in applying game theory to cybersecurity. It will also be of value to researchers and professionals working on cybersecurity who seek an introduction to game theory.

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Bibliographische Angaben

Autoren: Jeffrey Pawlick , Quanyan Zhu
2021, 1st ed. 2021, 190 Seiten, Englisch
Verlag: Springer International Publishing
ISBN-10: 3030660656
ISBN-13: 9783030660659
Erscheinungsdatum: 30.01.2021

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Dateiformat: PDF
Größe: 5.72 MB
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Englisch

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