Dynamic Games For Network Security

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Dynamic Games for Network Security

Xiaofan He,Huaiyu Dai
Dynamic Games for Network Security Book PDF

Author : Xiaofan He,Huaiyu Dai
Publisher : Springer
Page : 74 pages
File Size : 53,8 Mb
Release : 2018-02-28
Category : Technology & Engineering
ISBN : 9783319758718

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Dynamic Games for Network Security by Xiaofan He,Huaiyu Dai Pdf

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.

Cyber-Security Threats, Actors, and Dynamic Mitigation

Nicholas Kolokotronis,Stavros Shiaeles
Cyber Security Threats Actors and Dynamic Mitigation Book PDF

Author : Nicholas Kolokotronis,Stavros Shiaeles
Publisher : CRC Press
Page : 392 pages
File Size : 55,7 Mb
Release : 2021-04-04
Category : Law
ISBN : 9781000366600

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Cyber-Security Threats, Actors, and Dynamic Mitigation by Nicholas Kolokotronis,Stavros Shiaeles Pdf

Provides a systematic overview of recent advances cyber-security, including attacker’s profiling, proactive risk mitigation, and real-time network monitoring Includes both technical and state-of-the-art research perspectives Covers the contemporary aspects of cyber-security in a rapidly-progressing field Describes tactics, techniques, and procedures that cyber-attackers typically use to attack systems Focuses on information and methodologies for modelling attack strategies

Game Theory and Machine Learning for Cyber Security

Charles A. Kamhoua,Christopher D. Kiekintveld,Fei Fang,Quanyan Zhu
Game Theory and Machine Learning for Cyber Security Book PDF

Author : Charles A. Kamhoua,Christopher D. Kiekintveld,Fei Fang,Quanyan Zhu
Publisher : John Wiley & Sons
Page : 546 pages
File Size : 49,6 Mb
Release : 2021-09-08
Category : Technology & Engineering
ISBN : 9781119723943

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Game Theory and Machine Learning for Cyber Security by Charles A. Kamhoua,Christopher D. Kiekintveld,Fei Fang,Quanyan Zhu Pdf

GAME THEORY AND MACHINE LEARNING FOR CYBER SECURITY Move beyond the foundations of machine learning and game theory in cyber security to the latest research in this cutting-edge field In Game Theory and Machine Learning for Cyber Security, a team of expert security researchers delivers a collection of central research contributions from both machine learning and game theory applicable to cybersecurity. The distinguished editors have included resources that address open research questions in game theory and machine learning applied to cyber security systems and examine the strengths and limitations of current game theoretic models for cyber security. Readers will explore the vulnerabilities of traditional machine learning algorithms and how they can be mitigated in an adversarial machine learning approach. The book offers a comprehensive suite of solutions to a broad range of technical issues in applying game theory and machine learning to solve cyber security challenges. Beginning with an introduction to foundational concepts in game theory, machine learning, cyber security, and cyber deception, the editors provide readers with resources that discuss the latest in hypergames, behavioral game theory, adversarial machine learning, generative adversarial networks, and multi-agent reinforcement learning. Readers will also enjoy: A thorough introduction to game theory for cyber deception, including scalable algorithms for identifying stealthy attackers in a game theoretic framework, honeypot allocation over attack graphs, and behavioral games for cyber deception An exploration of game theory for cyber security, including actionable game-theoretic adversarial intervention detection against advanced persistent threats Practical discussions of adversarial machine learning for cyber security, including adversarial machine learning in 5G security and machine learning-driven fault injection in cyber-physical systems In-depth examinations of generative models for cyber security Perfect for researchers, students, and experts in the fields of computer science and engineering, Game Theory and Machine Learning for Cyber Security is also an indispensable resource for industry professionals, military personnel, researchers, faculty, and students with an interest in cyber security.

Game Theory for Cyber Deception

Jeffrey Pawlick,Quanyan Zhu
Game Theory for Cyber Deception Book PDF

Author : Jeffrey Pawlick,Quanyan Zhu
Publisher : Springer Nature
Page : 192 pages
File Size : 41,9 Mb
Release : 2021-01-30
Category : Mathematics
ISBN : 9783030660659

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Game Theory for Cyber Deception by Jeffrey Pawlick,Quanyan Zhu Pdf

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.

Cyber-Security Threats and Response Models in Nuclear Power Plants

Carol Smidts,Indrajit Ray,Quanyan Zhu,Pavan Kumar Vaddi,Yunfei Zhao,Linan Huang,Xiaoxu Diao,Rakibul Talukdar,Michael C. Pietrykowski
Cyber Security Threats and Response Models in Nuclear Power Plants Book PDF

Author : Carol Smidts,Indrajit Ray,Quanyan Zhu,Pavan Kumar Vaddi,Yunfei Zhao,Linan Huang,Xiaoxu Diao,Rakibul Talukdar,Michael C. Pietrykowski
Publisher : Springer Nature
Page : 100 pages
File Size : 49,9 Mb
Release : 2022-10-10
Category : Computers
ISBN : 9783031127113

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Cyber-Security Threats and Response Models in Nuclear Power Plants by Carol Smidts,Indrajit Ray,Quanyan Zhu,Pavan Kumar Vaddi,Yunfei Zhao,Linan Huang,Xiaoxu Diao,Rakibul Talukdar,Michael C. Pietrykowski Pdf

This SpringerBrief presents a brief introduction to probabilistic risk assessment (PRA), followed by a discussion of abnormal event detection techniques in industrial control systems (ICS). It also provides an introduction to the use of game theory for the development of cyber-attack response models and a discussion on the experimental testbeds used for ICS cyber security research. The probabilistic risk assessment framework used by the nuclear industry provides a valid framework to understand the impacts of cyber-attacks in the physical world. An introduction to the PRA techniques such as fault trees, and event trees is provided along with a discussion on different levels of PRA and the application of PRA techniques in the context of cybersecurity. A discussion on machine learning based fault detection and diagnosis (FDD) methods and cyber-attack detection methods for industrial control systems are introduced in this book as well. A dynamic Bayesian networks based method that can be used to detect an abnormal event and classify it as either a component fault induced safety event or a cyber-attack is discussed. An introduction to the stochastic game formulation of the attacker-defender interaction in the context of cyber-attacks on industrial control systems to compute optimal response strategies is presented. Besides supporting cyber-attack response, the analysis based on the game model also supports the behavioral study of the defender and the attacker during a cyber-attack, and the results can then be used to analyze the risk to the system caused by a cyber-attack. A brief review of the current state of experimental testbeds used in ICS cybersecurity research and a comparison of the structures of various testbeds and the attack scenarios supported by those testbeds is included. A description of a testbed for nuclear power applications, followed by a discussion on the design of experiments that can be carried out on the testbed and the associated results is covered as well. This SpringerBrief is a useful resource tool for researchers working in the areas of cyber security for industrial control systems, energy systems and cyber physical systems. Advanced-level students that study these topics will also find this SpringerBrief useful as a study guide.

Game Theory and Machine Learning for Cyber Security

Charles A. Kamhoua,Christopher D. Kiekintveld,Fei Fang,Quanyan Zhu
Game Theory and Machine Learning for Cyber Security Book PDF

Author : Charles A. Kamhoua,Christopher D. Kiekintveld,Fei Fang,Quanyan Zhu
Publisher : John Wiley & Sons
Page : 546 pages
File Size : 48,9 Mb
Release : 2021-09-15
Category : Technology & Engineering
ISBN : 9781119723929

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Game Theory and Machine Learning for Cyber Security by Charles A. Kamhoua,Christopher D. Kiekintveld,Fei Fang,Quanyan Zhu Pdf

GAME THEORY AND MACHINE LEARNING FOR CYBER SECURITY Move beyond the foundations of machine learning and game theory in cyber security to the latest research in this cutting-edge field In Game Theory and Machine Learning for Cyber Security, a team of expert security researchers delivers a collection of central research contributions from both machine learning and game theory applicable to cybersecurity. The distinguished editors have included resources that address open research questions in game theory and machine learning applied to cyber security systems and examine the strengths and limitations of current game theoretic models for cyber security. Readers will explore the vulnerabilities of traditional machine learning algorithms and how they can be mitigated in an adversarial machine learning approach. The book offers a comprehensive suite of solutions to a broad range of technical issues in applying game theory and machine learning to solve cyber security challenges. Beginning with an introduction to foundational concepts in game theory, machine learning, cyber security, and cyber deception, the editors provide readers with resources that discuss the latest in hypergames, behavioral game theory, adversarial machine learning, generative adversarial networks, and multi-agent reinforcement learning. Readers will also enjoy: A thorough introduction to game theory for cyber deception, including scalable algorithms for identifying stealthy attackers in a game theoretic framework, honeypot allocation over attack graphs, and behavioral games for cyber deception An exploration of game theory for cyber security, including actionable game-theoretic adversarial intervention detection against advanced persistent threats Practical discussions of adversarial machine learning for cyber security, including adversarial machine learning in 5G security and machine learning-driven fault injection in cyber-physical systems In-depth examinations of generative models for cyber security Perfect for researchers, students, and experts in the fields of computer science and engineering, Game Theory and Machine Learning for Cyber Security is also an indispensable resource for industry professionals, military personnel, researchers, faculty, and students with an interest in cyber security.

Adversarial and Uncertain Reasoning for Adaptive Cyber Defense

Sushil Jajodia,George Cybenko,Peng Liu,Cliff Wang,Michael Wellman
Adversarial and Uncertain Reasoning for Adaptive Cyber Defense Book PDF

Author : Sushil Jajodia,George Cybenko,Peng Liu,Cliff Wang,Michael Wellman
Publisher : Springer Nature
Page : 270 pages
File Size : 40,7 Mb
Release : 2019-08-30
Category : Computers
ISBN : 9783030307196

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Adversarial and Uncertain Reasoning for Adaptive Cyber Defense by Sushil Jajodia,George Cybenko,Peng Liu,Cliff Wang,Michael Wellman Pdf

Today’s cyber defenses are largely static allowing adversaries to pre-plan their attacks. In response to this situation, researchers have started to investigate various methods that make networked information systems less homogeneous and less predictable by engineering systems that have homogeneous functionalities but randomized manifestations. The 10 papers included in this State-of-the Art Survey present recent advances made by a large team of researchers working on the same US Department of Defense Multidisciplinary University Research Initiative (MURI) project during 2013-2019. This project has developed a new class of technologies called Adaptive Cyber Defense (ACD) by building on two active but heretofore separate research areas: Adaptation Techniques (AT) and Adversarial Reasoning (AR). AT methods introduce diversity and uncertainty into networks, applications, and hosts. AR combines machine learning, behavioral science, operations research, control theory, and game theory to address the goal of computing effective strategies in dynamic, adversarial environments.

Game Theory Applications in Network Design

Kim, Sungwook
Game Theory Applications in Network Design Book PDF

Author : Kim, Sungwook
Publisher : IGI Global
Page : 500 pages
File Size : 47,9 Mb
Release : 2014-05-31
Category : Computers
ISBN : 9781466660519

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Game Theory Applications in Network Design by Kim, Sungwook Pdf

The use of game theoretic techniques is playing an increasingly important role in the network design domain. Understanding the background, concepts, and principles in using game theory approaches is necessary for engineers in network design. Game Theory Applications in Network Design provides the basic idea of game theory and the fundamental understanding of game theoretic interactions among network entities. The material in this book also covers recent advances and open issues, offering game theoretic solutions for specific network design issues. This publication will benefit students, educators, research strategists, scientists, researchers, and engineers in the field of network design.

Game Theory: Breakthroughs in Research and Practice

Management Association, Information Resources
Game Theory Breakthroughs in Research and Practice Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 505 pages
File Size : 43,7 Mb
Release : 2017-06-19
Category : Mathematics
ISBN : 9781522525950

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Game Theory: Breakthroughs in Research and Practice by Management Association, Information Resources Pdf

Developments in the use of game theory have impacted multiple fields and created opportunities for new applications. With the ubiquity of these developments, there is an increase in the overall utilization of this approach. Game Theory: Breakthroughs in Research and Practice contains a compendium of the latest academic material on the usage, strategies, and applications for implementing game theory across a variety of industries and fields. Including innovative studies on economics, military strategy, and political science, this multi-volume book is an ideal source for professionals, practitioners, graduate students, academics, and researchers interested in the applications of game theory.

IoT Supply Chain Security Risk Analysis and Mitigation

Timothy Kieras,Junaid Farooq,Quanyan Zhu
IoT Supply Chain Security Risk Analysis and Mitigation Book PDF

Author : Timothy Kieras,Junaid Farooq,Quanyan Zhu
Publisher : Springer Nature
Page : 142 pages
File Size : 46,7 Mb
Release : 2022-09-05
Category : Computers
ISBN : 9783031084805

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IoT Supply Chain Security Risk Analysis and Mitigation by Timothy Kieras,Junaid Farooq,Quanyan Zhu Pdf

This SpringerBrief introduces methodologies and tools for quantitative understanding and assessment of supply chain risk to critical infrastructure systems. It unites system reliability analysis, optimization theory, detection theory and mechanism design theory to study vendor involvement in overall system security. It also provides decision support for risk mitigation. This SpringerBrief introduces I-SCRAM, a software tool to assess the risk. It enables critical infrastructure operators to make risk-informed decisions relating to the supply chain, while deploying their IT/OT and IoT systems. The authors present examples and case studies on supply chain risk assessment/mitigation of modern connected infrastructure systems such as autonomous vehicles, industrial control systems, autonomous truck platooning and more. It also discusses how vendors of different system components are involved in the overall security posture of the system and how the risk can be mitigated through vendor selection and diversification. The specific topics in this book include: Risk modeling and analysis of IoT supply chains Methodologies for risk mitigation, policy management, accountability, and cyber insurance Tutorial on a software tool for supply chain risk management of IoT These topics are supported by up-to-date summaries of the authors’ recent research findings. The authors introduce a taxonomy of supply chain security and discusses the future challenges and directions in securing the supply chains of IoT systems. It also focuses on the need for joint policy and technical solutions to counter the emerging risks, where technology should inform policy and policy should regulate technology development. This SpringerBrief has self-contained chapters, facilitating the readers to peruse individual topics of interest. It provides a broad understanding of the emerging field of cyber supply chain security in the context of IoT systems to academics, industry professionals and government officials.

Cyber Security Threats and Challenges Facing Human Life

Narendra M Shekokar,Hari Vasudevan,Surya S Durbha,Antonis Michalas,Tatwadarshi P Nagarhalli,Ramchandra Sharad Mangrulkar,Monika Mangla
Cyber Security Threats and Challenges Facing Human Life Book PDF

Author : Narendra M Shekokar,Hari Vasudevan,Surya S Durbha,Antonis Michalas,Tatwadarshi P Nagarhalli,Ramchandra Sharad Mangrulkar,Monika Mangla
Publisher : CRC Press
Page : 217 pages
File Size : 48,8 Mb
Release : 2022-09-01
Category : Computers
ISBN : 9781000645880

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Cyber Security Threats and Challenges Facing Human Life by Narendra M Shekokar,Hari Vasudevan,Surya S Durbha,Antonis Michalas,Tatwadarshi P Nagarhalli,Ramchandra Sharad Mangrulkar,Monika Mangla Pdf

Cyber Security Threats and Challenges Facing Human Life provides a comprehensive view of the issues, threats, and challenges that are faced in the cyber security domain. This book offers detailed analysis of effective countermeasures and mitigations. The financial sector, healthcare, digital manufacturing, and social media are some of the important areas in which cyber-attacks are frequent and cause great harm. Hence, special emphasis is given to the study and analysis of cyber security challenges and countermeasures in those four important areas. KEY FEATURES • Discusses the prominence of cyber security in human life • Discusses the significance of cyber security in the post-COVID-19 world • Emphasizes the issues, challenges, and applications of cyber security mitigation methods in business and different sectors • Provides comphrension of the impact of cyber security threats and challenges in digital manufacturing and the internet of things environment • Offers understanding of the impact of big data breaches and future trends in data security This book is primarily aimed at undergraduate students, graduate students, researchers, academicians, and professionals who are interested in exploring their research and knowledge in cyber security domain.

Cyber-Security in Critical Infrastructures

Stefan Rass,Stefan Schauer,Sandra König,Quanyan Zhu
Cyber Security in Critical Infrastructures Book PDF

Author : Stefan Rass,Stefan Schauer,Sandra König,Quanyan Zhu
Publisher : Springer Nature
Page : 297 pages
File Size : 42,5 Mb
Release : 2020-06-24
Category : Computers
ISBN : 9783030469085

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Cyber-Security in Critical Infrastructures by Stefan Rass,Stefan Schauer,Sandra König,Quanyan Zhu Pdf

This book presents a compendium of selected game- and decision-theoretic models to achieve and assess the security of critical infrastructures. Given contemporary reports on security incidents of various kinds, we can see a paradigm shift to attacks of an increasingly heterogeneous nature, combining different techniques into what we know as an advanced persistent threat. Security precautions must match these diverse threat patterns in an equally diverse manner; in response, this book provides a wealth of techniques for protection and mitigation. Much traditional security research has a narrow focus on specific attack scenarios or applications, and strives to make an attack “practically impossible.” A more recent approach to security views it as a scenario in which the cost of an attack exceeds the potential reward. This does not rule out the possibility of an attack but minimizes its likelihood to the least possible risk. The book follows this economic definition of security, offering a management scientific view that seeks a balance between security investments and their resulting benefits. It focuses on optimization of resources in light of threats such as terrorism and advanced persistent threats. Drawing on the authors’ experience and inspired by real case studies, the book provides a systematic approach to critical infrastructure security and resilience. Presenting a mixture of theoretical work and practical success stories, the book is chiefly intended for students and practitioners seeking an introduction to game- and decision-theoretic techniques for security. The required mathematical concepts are self-contained, rigorously introduced, and illustrated by case studies. The book also provides software tools that help guide readers in the practical use of the scientific models and computational frameworks.

Adaptive Autonomous Secure Cyber Systems

Sushil Jajodia,George Cybenko,V.S. Subrahmanian,Vipin Swarup,Cliff Wang,Michael Wellman
Adaptive Autonomous Secure Cyber Systems Book PDF

Author : Sushil Jajodia,George Cybenko,V.S. Subrahmanian,Vipin Swarup,Cliff Wang,Michael Wellman
Publisher : Springer Nature
Page : 291 pages
File Size : 54,7 Mb
Release : 2020-02-04
Category : Computers
ISBN : 9783030334321

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Adaptive Autonomous Secure Cyber Systems by Sushil Jajodia,George Cybenko,V.S. Subrahmanian,Vipin Swarup,Cliff Wang,Michael Wellman Pdf

This book explores fundamental scientific problems essential for autonomous cyber defense. Specific areas include: Game and control theory-based moving target defenses (MTDs) and adaptive cyber defenses (ACDs) for fully autonomous cyber operations; The extent to which autonomous cyber systems can be designed and operated in a framework that is significantly different from the human-based systems we now operate; On-line learning algorithms, including deep recurrent networks and reinforcement learning, for the kinds of situation awareness and decisions that autonomous cyber systems will require; Human understanding and control of highly distributed autonomous cyber defenses; Quantitative performance metrics for the above so that autonomous cyber defensive agents can reason about the situation and appropriate responses as well as allowing humans to assess and improve the autonomous system. This book establishes scientific foundations for adaptive autonomous cyber systems and ultimately brings about a more secure and reliable Internet. The recent advances in adaptive cyber defense (ACD) have developed a range of new ACD techniques and methodologies for reasoning in an adaptive environment. Autonomy in physical and cyber systems promises to revolutionize cyber operations. The ability of autonomous systems to execute at scales, scopes, and tempos exceeding those of humans and human-controlled systems will introduce entirely new types of cyber defense strategies and tactics, especially in highly contested physical and cyber environments. The development and automation of cyber strategies that are responsive to autonomous adversaries pose basic new technical challenges for cyber-security. This book targets cyber-security professionals and researchers (industry, governments, and military). Advanced-level students in computer science and information systems will also find this book useful as a secondary textbook.

Decision and Game Theory for Security

Tansu Alpcan,Yevgeniy Vorobeychik,John S. Baras,György Dán
Decision and Game Theory for Security Book PDF

Author : Tansu Alpcan,Yevgeniy Vorobeychik,John S. Baras,György Dán
Publisher : Springer Nature
Page : 584 pages
File Size : 51,7 Mb
Release : 2019-10-23
Category : Computers
ISBN : 9783030324308

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Decision and Game Theory for Security by Tansu Alpcan,Yevgeniy Vorobeychik,John S. Baras,György Dán Pdf

This book constitutes the refereed proceedings of the 10th International Conference on Decision and Game Theory for Security, GameSec 2019,held in Stockholm, Sweden, in October 2019.The 21 full papers presented together with 11 short papers were carefully reviewed and selected from 47 submissions.The papers focus on protection of heterogeneous, large-scale and dynamic cyber-physical systems as well as managing security risks faced by critical infrastructures through rigorous and practically-relevant analytical methods.

A Game- and Decision-Theoretic Approach to Resilient Interdependent Network Analysis and Design

Juntao Chen,Quanyan Zhu
A Game and Decision Theoretic Approach to Resilient Interdependent Network Analysis and Design Book PDF

Author : Juntao Chen,Quanyan Zhu
Publisher : Springer
Page : 105 pages
File Size : 50,8 Mb
Release : 2019-07-17
Category : Technology & Engineering
ISBN : 9783030234447

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A Game- and Decision-Theoretic Approach to Resilient Interdependent Network Analysis and Design by Juntao Chen,Quanyan Zhu Pdf

This brief introduces game- and decision-theoretical techniques for the analysis and design of resilient interdependent networks. It unites game and decision theory with network science to lay a system-theoretical foundation for understanding the resiliency of interdependent and heterogeneous network systems. The authors pay particular attention to critical infrastructure systems, such as electric power, water, transportation, and communications. They discuss how infrastructure networks are becoming increasingly interconnected as the integration of Internet of Things devices, and how a single-point failure in one network can propagate to other infrastructures, creating an enormous social and economic impact. The specific topics in the book include: · static and dynamic meta-network resilience game analysis and design; · optimal control of interdependent epidemics spreading over complex networks; and · applications to secure and resilient design of critical infrastructures. These topics are supported by up-to-date summaries of the authors’ recent research findings. The authors then discuss the future challenges and directions in the analysis and design of interdependent networks and explain the role of multi-disciplinary research has in computer science, engineering, public policy, and social sciences fields of study. The brief introduces new application areas in mathematics, economics, and system and control theory, and will be of interest to researchers and practitioners looking for new approaches to assess and mitigate risks in their systems and enhance their network resilience. A Game- and Decision-Theoretic Approach to Resilient Interdependent Network Analysis and Design also has self-contained chapters, which allows for multiple levels of reading by anyone with an interest in game and decision theory and network science.