Data Privacy Games PDF
By:Lei Xu,Chunxiao Jiang,Yi Qian,Yong Ren
Published on 2018-04-24 by Springer
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.
This Book was ranked at 36 by Google Books for keyword medical computer applications anonymized.
Book ID of Data Privacy Games's Books is Lb1XDwAAQBAJ, Book which was written byLei Xu,Chunxiao Jiang,Yi Qian,Yong Renhave ETAG "dMyHAJMa1O8"
Book which was published by Springer since 2018-04-24 have ISBNs, ISBN 13 Code is 9783319779652 and ISBN 10 Code is 3319779656
Reading Mode in Text Status is true and Reading Mode in Image Status is true
Book which have "181 Pages" is Printed at BOOK under CategoryComputers
Book was written in en
eBook Version Availability Status at PDF is true and in ePub is true
Book Preview
Download Data Privacy Games PDF Free
Download Data Privacy Games Book Free
Download Data Privacy Games Free
Download Data Privacy Games PDF
Download Data Privacy Games Book
How to Download Data Privacy Games Book
How to Download Data Privacy Games
How to Download Data Privacy Games pdf
How to Download Data Privacy Games free
Free Download Data Privacy Games
No comments:
Post a Comment