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Data Privacy Games book cover by Lei Xu, Chunxiao Jiang, Yi Qian, Yong Ren
Hardcover

Data Privacy Games

by Lei Xu, Chunxiao Jiang, Yi Qian and Yong Ren

From $96.79 / copy at 25+ copies; lower per-copy prices at higher quantities (see Volume pricing) As low as $94.59 at 100+

Total $2,419.75

Hardcover · 181 pages Springer International Publishing · 2018

Format

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About the book

Data Privacy Games

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.



Details

Publisher
Springer International Publishing
Authors
Lei Xu, Chunxiao Jiang, Yi Qian, Yong Ren
Format
Hardcover
Published
May 7, 2018
ISBN-13
9783319779645
Pages
181
Printing
Printed on demand
Buying for a group

Data Privacy Games for groups: pricing

Volume pricing applies automatically in your cart. No codes, no account needed.

CopiesPrice per copyYou save
25 – 49 $96.79 12% off list
50 – 99 $95.69 13% off list
100+ $94.59 14% off list
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Where can I buy 100 copies of Data Privacy Games?

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Volume pricing applies automatically in your cart, with no code needed. Price per copy: 25 to 49 copies, $96.79 (12% off list); 50 to 99 copies, $95.69 (13% off list); 100+ copies, $94.59 (14% off list). Need a different quantity, or a quote to forward for approval? Ask a specialist and we will confirm pricing before you pay.

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