Data Privacy Games
Autor Lei Xu, Chunxiao Jiang, Yi Qian, Yong Renen Limba Engleză Hardback – 7 mai 2018
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.
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Specificații
ISBN-13: 9783319779645
ISBN-10: 3319779648
Pagini: 164
Ilustrații: X, 181 p. 52 illus., 46 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.45 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3319779648
Pagini: 164
Ilustrații: X, 181 p. 52 illus., 46 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.45 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
Cuprins
1 The Conflict between Big Data and Individual Privacy.- 2 Privacy-Preserving Data Collecting: A Simple Game Theoretic Approach.- 3 Contract-based Private Data Collecting.- 4 Dynamic Privacy Pricing.- 5 User Participation Game in Collaborative Filtering.- 6 Privacy-Accuracy Trade-off in Distributed Data Mining.- 7 Conclusion.
Caracteristici
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 presents a formalized analysis of the privacy preserving strategies. Specifically, game theory and contract theory, which are widely used in the study of economics, are applied in this book to analyze users’ strategies The topic of information security and privacy is extremely hot in worldwide