Data Privacy Games
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| Author | : Lei Xu |
| Publisher | : Springer |
| Total Pages | : 187 |
| Release | : 2018-04-24 |
| Genre | : Computers |
| ISBN | : 3319779656 |
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.
| Author | : Lei Xu |
| Publisher | : |
| Total Pages | : 181 |
| Release | : 2018 |
| Genre | : Data mining |
| ISBN | : 9783319779669 |
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.
| Author | : World Intellectual Property Organization |
| Publisher | : WIPO |
| Total Pages | : 378 |
| Release | : |
| Genre | : Law |
| ISBN | : |
“Mastering the Game” provides professionals in the videogames industry with practical insights and guidance on legal and business issues related to the use of intellectual property protection in this area. The training material takes the reader through all stages of the game development and distribution process pointing out the role of intellectual property in relation to the various uses of the content.
| Author | : Magy Seif El-Nasr |
| Publisher | : Oxford University Press |
| Total Pages | : 320 |
| Release | : 2021-09-30 |
| Genre | : Computers |
| ISBN | : 0192652710 |
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.
| Author | : Khosrow-Pour, D.B.A., Mehdi |
| Publisher | : IGI Global |
| Total Pages | : 433 |
| Release | : 2018-10-05 |
| Genre | : Computers |
| ISBN | : 152257493X |
Cyber-attacks are rapidly becoming one of the most prevalent issues globally, and as they continue to escalate, it is imperative to explore new approaches and technologies that help ensure the security of the online community. Beyond cyber-attacks, personal information is now routinely and exclusively housed in cloud-based systems. The rising use of information technologies requires stronger information security and system procedures to reduce the risk of information breaches. Advanced Methodologies and Technologies in System Security, Information Privacy, and Forensics presents emerging research and methods on preventing information breaches and further securing system networks. While highlighting the rising concerns in information privacy and system security, this book explores the cutting-edge methods combatting digital risks and cyber threats. This book is an important resource for information technology professionals, cybercrime researchers, network analysts, government agencies, business professionals, academicians, and practitioners seeking the most up-to-date information and methodologies on cybercrime, digital terrorism, network security, and information technology ethics.
| Author | : Anna Lisa Ferrara |
| Publisher | : Springer Nature |
| Total Pages | : 347 |
| Release | : |
| Genre | : |
| ISBN | : 3031651723 |
| Author | : Ralf Dörner |
| Publisher | : Springer |
| Total Pages | : 549 |
| Release | : 2016-10-05 |
| Genre | : Computers |
| ISBN | : 3319461524 |
The aim of this book is to collect and to cluster research areas in the field of serious games and entertainment computing. It provides an introduction and gives guidance for the next generation of researchers in this field. The 18 papers presented in this volume, together with an introduction, are the outcome of a GI-Dagstuhl seminar which was held at Schloß Dagstuhl in July 2015.
| Author | : Aynne Kokas |
| Publisher | : Oxford University Press |
| Total Pages | : 361 |
| Release | : 2022-11 |
| Genre | : Business intelligence |
| ISBN | : 0197620507 |
"Trafficking Data argues that the movement of human data across borders for political and financial gain is disenfranchising consumers, eroding national autonomy, and destabilizing sovereignty. Focusing on the United States and China, it traces how US government leadership failures, Silicon Valley's disruption fetish, and Wall Street's addiction to growth have yielded an unprecedented opportunity for Chinese firms to gather data in the United States and quietly send it back to China, and by extension, the Chinese government. Such "data trafficking," as the book names this insidious phenomenon, is enabled by the competing governance models of the world's two largest economies: mass government data aggregation in China and impenetrable corporate data management policies in the United States. China is stepping up its data trafficking efforts through national regulations, soft power persuasion, and tech investment, extending the scope of state control over domestic and international data and tech infrastructure, and thereby expanding its global influence. The United States, by contrast, is retreating from participation in foreign alliances, international organizations, and the systemic regulation of the tech industry-practices with the potential to counter data trafficking. Confronting data trafficking as the defining international competition of the twenty-first century, this book ultimately advocates for an alternative future of data stabilization. To stem data trafficking and stabilize data flows, it shows, policymakers can synthesize tools from across the private sector, public sector, multi-national organizations, and consumers to protect users, secure national sovereignty, and establish valuable international standards"--
| Author | : Magy Seif El-Nasr |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 792 |
| Release | : 2013-03-30 |
| Genre | : Computers |
| ISBN | : 1447147693 |
Developing a successful game in today’s market is a challenging endeavor. Thousands of titles are published yearly, all competing for players’ time and attention. Game analytics has emerged in the past few years as one of the main resources for ensuring game quality, maximizing success, understanding player behavior and enhancing the quality of the player experience. It has led to a paradigm shift in the development and design strategies of digital games, bringing data-driven intelligence practices into the fray for informing decision making at operational, tactical and strategic levels. Game Analytics - Maximizing the Value of Player Data is the first book on the topic of game analytics; the process of discovering and communicating patterns in data towards evaluating and driving action, improving performance and solving problems in game development and game research. Written by over 50 international experts from industry and research, it covers a comprehensive range of topics across more than 30 chapters, providing an in-depth discussion of game analytics and its practical applications. Topics covered include monetization strategies, design of telemetry systems, analytics for iterative production, game data mining and big data in game development, spatial analytics, visualization and reporting of analysis, player behavior analysis, quantitative user testing and game user research. This state-of-the-art volume is an essential source of reference for game developers and researchers. Key takeaways include: Thorough introduction to game analytics; covering analytics applied to data on players, processes and performance throughout the game lifecycle. In-depth coverage and advice on setting up analytics systems and developing good practices for integrating analytics in game-development and -management. Contributions by leading researchers and experienced professionals from the industry, including Ubisoft, Sony, EA, Bioware, Square Enix, THQ, Volition, and PlayableGames. Interviews with experienced industry professionals on how they use analytics to create hit games.
| Author | : Adrian David Cheok |
| Publisher | : Springer |
| Total Pages | : 911 |
| Release | : 2018-03-02 |
| Genre | : Computers |
| ISBN | : 3319762702 |
This book constitutes the refereed conference proceedings of the 14th International Conference on Advances in Computer Entertainment Technology, ACE 2017, held in London, UK, in December 2017. The 59 full papers presented were selected from a total of 229 submissions. ACE is by nature a multi-disciplinary conference, therefore attracting people across a wide spectrum of interests and disciplines including computer science, design, arts, sociology, anthropology, psychology, and marketing. The main goal is to stimulate discussion in the development of new and compelling entertainment computing and interactive art concepts and applications. The chapter 'eSport vs irlSport' is open access under a CC BY 4.0 license via link.springer.com.
