Security Games: Surveillance and Control at Mega-Events addresses the impact of mega-events – such as the Olympic Games and the World Cup – on wider practices of security and surveillance. "Mega-Events" pose peculiar and extensive security challenges. The overwhelming imperative is that "nothing should go wrong." There are, however, an almost infinite number of things that can "go wrong"; producing the perceived need for pre-emptive risk assessments, and an expanding range of security measures, including extensive forms and levels of surveillance. These measures are delivered by a "security/industrial complex" consisting of powerful transnational corporate, governmental and military actors, eager to showcase the latest technologies and prove that they can deliver "spectacular levels of security". Mega-events have thus become occasions for experiments in monitoring people and places. And, as such, they have become important moments in the development and dispersal of surveillance, as the infrastructure established for mega-events are often marketed as security solutions for the more routine monitoring of people and place. Mega-events, then, now serve as focal points for the proliferation of security and surveillance. They are microcosms of larger trends and processes, through which – as the contributors to this volume demonstrate – we can observe the complex ways that security and surveillance are now implicated in unique confluences of technology, institutional motivations, and public-private security arrangements. As the exceptional conditions of the mega-event become the norm, Security Games: Surveillance and Control at Mega-Events therefore provides the glimpse of a possible future that is more intensively and extensively monitored.

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.

Security measures are a critical piece of the game development process because they not only affect the player's ability to safely access and enjoy a game but a publisher's ability to profit from it. Protecting Games: A Security Handbook for Game Developers and Publishers provides IT and game security professionals with the solutions and tools they need to solve numerous game security problems, and an understanding of security principles that can be applied to game projects to prevent security issues. The book covers longstanding issues such as piracy and cheating and also new concerns like gambling, privacy, and protecting children. Security issues are addressed at the technical, business, operational, and design levels, with both technical and non-technical countermeasures and solutions discussed. And case studies are presented as realworld examples of the types of security concerns games and game developers face. You can easily jump to the key topics that are of interest to you, or work your way through the book. Protecting Games: A Security Handbook for Game Developers and Publishers makes understanding and resolving game security issues less intimidating, and provides practical security solutions that can be applied right away.

What are the risks of terrorism and what are their consequences and economic impacts? Are we safer from terrorism today than before 9/11? Does the government spend our homeland security funds well? These questions motivated a twelve-year research program of the National Center for Risk and Economic Analysis of Terrorism Events (CREATE) at the University of Southern California, funded by the Department of Homeland Security. This book showcases some of the most important results of this research and offers key insights on how to address the most important security problems of our time. Written for homeland security researchers and practitioners, this book covers a wide range of methodologies and real-world examples of how to reduce terrorism risks, increase the efficient use of homeland security resources, and thereby make better decisions overall.

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.

This book contains selected papers presented at the 16th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School on Privacy and Identity Management, held online in August 2021. The 9 full papers included in this volume were carefully reviewed and selected from 23 submissions. Also included are 2 invited keynote papers and 3 tutorial/workshop summary papers. As in previous years, one of the goals of the IFIP Summer School was to encourage the publication of thorough research papers by students and emerging scholars. The papers combine interdisciplinary approaches to bring together a host of perspectives, such as technical, legal, regulatory, socio-economic, social or societal, political, ethical, anthropological, philosophical, or psychological perspectives.

The chapters in this volume explore how various methods from game theory can be utilized to optimize security and risk-management strategies. Emphasizing the importance of connecting theory and practice, they detail the steps involved in selecting, adapting, and analyzing game-theoretic models in security engineering and provide case studies of successful implementations in different application domains. Practitioners who are not experts in game theory and are uncertain about incorporating it into their work will benefit from this resource, as well as researchers in applied mathematics and computer science interested in current developments and future directions. The first part of the book presents the theoretical basics, covering various different game-theoretic models related to and suitable for security engineering. The second part then shows how these models are adopted, implemented, and analyzed. Surveillance systems, interconnected networks, and power grids are among the different application areas discussed. Finally, in the third part, case studies from business and industry of successful applications of game-theoretic models are presented, and the range of applications discussed is expanded to include such areas as cloud computing, Internet of Things, and water utility networks.