| 書目名稱 | Data Privacy Games | | 編輯 | Lei Xu,Chunxiao Jiang,Yong Ren | | 視頻video | http://file.papertrans.cn/263/262991/262991.mp4 | | 概述 | This book investigates the privacy-utility trade-off issue by analyzing interactions among multiple stakeholders, which is different from the predominant methodology in current literature.This book pr | | 圖書封面 |  | | 描述 | .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 prop | | 出版日期 | Book 2018 | | 關(guān)鍵詞 | data mining; privacy preserving; game theory; differential privacy; satisfaction equilibrium; data market | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-77965-2 | | isbn_softcover | 978-3-030-08586-5 | | isbn_ebook | 978-3-319-77965-2 | | copyright | Springer International Publishing AG, part of Springer Nature 2018 |
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