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Game Theory and Machine Learning for Cyber Security

Game Theory and Machine Learning for Cyber Security
Author: Charles A. Kamhoua
Publisher: John Wiley & Sons
Total Pages: 546
Release: 2021-09-08
Genre: Technology & Engineering
ISBN: 1119723949

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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.


Cybersecurity Games

Cybersecurity Games
Author: Jessica Gulick
Publisher:
Total Pages: 48
Release: 2020-10-09
Genre:
ISBN:

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Cyber competitions are venues, both physical and online, where participants perform in closed environments to defend the assets of an Information Technology (IT) network. Like any competition, cyber competitions are both instructional and gratifying for its participants. Within the National Institute for Standards and Technology (NIST), the Competitions subgroup (NICEWG) set an objective in early 2016 to explore the concepts, design strategies, and pursue actions that advance the role that competitions play in cybersecurity education, training, and workforce development.


HCI in Games

HCI in Games
Author: Xiaowen Fang
Publisher: Springer Nature
Total Pages: 547
Release: 2020-07-10
Genre: Computers
ISBN: 3030501647

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This book constitutes the refereed proceedings of the Second International Conference on HCI in Games, HCI-Games 2020, held in July 2020 as part of HCI International 2020 in Copenhagen, Denmark.* HCII 2020 received a total of 6326 submissions, of which 1439 papers and 238 posters were accepted for publication after a careful reviewing process. The 38 papers presented in this volume are organized in topical sections named: designing games and gamified interactions; user engagement and game impact; and serious games. *The conference was held virtually due to the COVID-19 pandemic.


Game Theory and Machine Learning for Cyber Security

Game Theory and Machine Learning for Cyber Security
Author: Charles A. Kamhoua
Publisher: John Wiley & Sons
Total Pages: 546
Release: 2021-09-15
Genre: Technology & Engineering
ISBN: 1119723922

Download Game Theory and Machine Learning for Cyber Security Book in PDF, ePub and Kindle

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.


Serious Games

Serious Games
Author: Mads Haahr
Publisher: Springer Nature
Total Pages: 460
Release: 2023-10-13
Genre: Computers
ISBN: 3031447514

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This book constitutes the refereed proceedings of the 9th Joint International Conference on Serious Games, JCSG 2023, held in Dublin, Ireland, during October 26–27, 2023. The 18 full papers presented together with 9 short papers and 14 poster papers were carefully reviewed and selected from 53 submissions. They are grouped into the following topics: technology and systems; theoretical and design aspects; health and wellbeing; extended realities; soft and social skills; academic skills; and posters and exhibits.


ECEL 2021 20th European Conference on e-Learning

ECEL 2021 20th European Conference on e-Learning
Author: Prof. Dr.-Ing. Carsten Busch
Publisher: Academic Conferences International limited
Total Pages:
Release: 2021-10-28
Genre: Education
ISBN: 1914587197

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Human Factors in Cybersecurity

Human Factors in Cybersecurity
Author: Abbas Moallem
Publisher: AHFE Conference
Total Pages: 254
Release: 2024-07-24
Genre: Technology & Engineering
ISBN: 1964867037

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Proceedings of the 15th International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences, Nice, France, 24-27 July 2024.


E-Learning and Games

E-Learning and Games
Author: Feng Tian
Publisher: Springer
Total Pages: 315
Release: 2017-10-11
Genre: Computers
ISBN: 3319658492

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This book constitutes the refereed proceedings of the 11th International Conference on E-Learning and Games, Edutainment 2017, held in Bournemouth, United Kingdom, in June 2017. The 19 fulland 17 short papers presented were carefully reviewed and selected from 47 submissions. They are organized in the following topical sections: Virtual reality and augmented reality in edutainment; gamification for serious game and training; graphics, imaging and applications; E-learning and game.