With the growing popularity of “big data”, the potential value of personal data has attracted more and more attention. Applications built on personal data can create tremendous social and economic benefits. Meanwhile, they bring serious threats to individual privacy. The extensive collection, analysis and transaction of personal data make it difficult for an individual to keep the privacy safe. People now show more concerns about privacy than ever before. How to make a balance between the exploitation of personal information and the protection of individual privacy has become an urgent issue. In this book, the authors use methodologies from economics, especially game theory, to investigate solutions to the balance issue. They investigate the strategies of stakeholders involved in the use of personal data, and try to find the equilibrium. The book proposes a user-role based methodology to investigate the privacy issues in data mining, identifying four different types of users, i.e. four user roles, involved in data mining applications. For each user role, the authors discuss its privacy concerns and the strategies that it can adopt to solve the privacy problems. The book also proposes a simple game model to analyze the interactions among data provider, data collector and data miner. By solving the equilibria of the proposed game, readers can get useful guidance on how to deal with the trade-off between privacy and data utility. Moreover, to elaborate the analysis on data collector’s strategies, the authors propose a contract model and a multi-armed bandit model respectively. The authors discuss how the owners of data (e.g. an individual or a data miner) deal with the trade-off between privacy and utility in data mining. Specifically, they study users’ strategies in collaborative filtering based recommendation system and distributed classification system. They built game models to formulate the interactions among data owners, and propose learning algorithms to find the equilibria.

The Data Processing Security Game: Safeguarding against the Real Dangers of Computer Abuse aims to propose the fundamental elements required to insure satisfactory data processing (DP) security levels in a business setting. This text first presents the basic philosophical points regarding DP security game and the organization of this book. This selection then gives an assessment or self-evaluation of the DP environment, which is followed by a discussion on the basic areas of physical security to be considered. A significant area in the DP security game, which is magnetic volume control, is then discussed. This book then explains system security, backup procedure, control aspects, and business considerations. This selection will be very invaluable to those wanting to explore data processing security and apply it to a business environment.

Game data science, defined as the practice of deriving insights from game data, has created a revolution in the multibillion-dollar games industry - informing and enhancing production, design, and development processes. Almost all game companies and academics have now adopted some type of game data science, every tool utilized by game developers allows collecting data from games, yet there has been no definitive resource for academics and professionals in this rapidly developing sector until now. Games Data Science delivers an excellent introduction to this new domain and provides the definitive guide to methods and practices of computer science, analytics, and data science as applied to video games. It is the ideal resource for academic students and professional learners seeking to understand how data science is used within the game development and production cycle, as well as within the interdisciplinary field of games research. Organized into chapters that integrate laboratory and game data examples, this book provides a unique resource to train and educate both industry professionals and academics about the use of game data science, with practical exercises and examples on how such processes are implemented and used in academia and industry, interweaving theoretical learning with practical application throughout.

This book constitutes the thoroughly refereed post-proceedings of the 9th International Conference on Financial Cryptography and Data Security, FC 2005, held in Roseau, The Commonwealth Of Dominica, in February/March 2005. The 24 revised full papers presented together with the abstracts of one invited talk and 2 panel statements were carefully reviewed and selected from 90 submissions. The papers are organized in topical sections on threat and attacks, digital signing methods, privacy, hardware oriented mechanisms, supporting financial transactions, systems, applications, and experiences, message authentication, exchanges and contracts, auctions and voting, and user authentication.

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 two-volume set LNCS 13950 and 13951 constitutes revised selected papers from the 27th International Conference on Financial Cryptography and Data Security, FC 2023, which was held from May 1-5, 2023, in Bol, Croatia. The 39 full and 2 short papers presented in these proceedings were carefully reviewed and selected from 182 submissions. They were organized in topical sections as follows:Part I: Consensus; cryptographic protocols; decentralized finance; Part II: Proof of X; Layer 2; attack techniques, defenses, and attack case studies; empirical studies and more decentralized finance; game theory and protocols.

Heavily dominated by the sector of information and communication technologies, economic organizations pursue digital transformation as a differentiating factor and source of competitive advantage. Understanding the challenges of digital transformation is critical to managers to ensure business sustainability. However, there are some problems, such as architecture, security, and reliability, among others, that bring with them the need for studies and investments in this area to avoid significant financial losses. Digital transformation encompasses and challenges many areas, such as business models, organizational structures, human privacy, management, and more, creating a need to investigate the challenges associated with it to create a roadmap for this new digital transformation era. The Handbook of Research on Digital Transformation and Challenges to Data Security and Privacy presents the main challenges of digital transformation and the threats it poses to information security and privacy, as well as models that can contribute to solving these challenges in economic organizations. While highlighting topics such as information systems, digital trends, and information governance, this book is ideally intended for managers, data analysts, cybersecurity professionals, IT specialists, practitioners, researchers, academicians, and students working in fields that include digital transformation, information management, information security, information system reliability, business continuity, and data protection.

Videogames allow us to immerse ourselves in worlds that are reflective of cultural phenomena. At the same time, games are in the process of occupying and utilising the real world as a part of the game. The book provides a combination of theoretical and practical approaches to mixed reality through the lenses of game studies and pedagogy. These novel approaches invite the reader to rethink their conceptions of games and mixed reality. They are complemented with classical analyses of games and applications in educational contexts. In uniting theory and hands-on approaches, the book provides a broad spectrum that facilitates and inspires interdisciplinary thinking and work.

This book constitutes the thoroughly refereed post-conference proceedings of the 21st International Conference on Financial Cryptography and Data Security, FC 2017, held in Sliema, Malta, in April 2017. The 30 revised full papers and 5 short papers were carefully selected and reviewed from 132 submissions. The papers are grouped in the following topical sections: Privacy and Identity Management; Privacy and Data Processing; Cryptographic Primitives and API's; Vulnerabilities and Exploits; Blockchain Technology; Security of Internet Protocols; Blind signatures; Searching and Processing Private Data; Secure Channel Protocols; and Privacy in Data Storage and Retrieval.

This book constitutes the thoroughly refereed post-conference proceedings of the 19th International Conference on Financial Cryptography and Data Security, FC 2014, held in San Juan, Puerto Rico, in January 2015. The 23 revised full papers and 10 short papers were carefully selected and reviewed from 102 full papers submissions. The papers are grouped in the following topical sections: sidechannels; cryptography in the cloud; payment and fraud detection; authentication and access control; cryptographic primitives; mobile security; privacy and incentives; applications and attacks; authenticated data structures.