Data Privacy : foundations, new developments and the big data challenge

This book offers a broad, cohesive overview of the field of data privacy. It discusses, from a technological perspective, the problems and solutions of the three main communities working on data privacy: statistical disclosure control (those with a statistical background), privacy-preserving data mi...

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Bibliographic Details
Main Author Torra, Vicenç
Format Electronic eBook
LanguageEnglish
Published Cham : Springer International Publishing, 2017.
SeriesStudies in big data.
Subjects
Data protection.
Computer security.
elektronické knihy
electronic books
Online AccessPlný text

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Summary:This book offers a broad, cohesive overview of the field of data privacy. It discusses, from a technological perspective, the problems and solutions of the three main communities working on data privacy: statistical disclosure control (those with a statistical background), privacy-preserving data mining (those working with data bases and data mining), and privacy-enhancing technologies (those involved in communications and security) communities. Presenting different approaches, the book describes alternative privacy models and disclosure risk measures as well as data protection procedures for respondent, holder and user privacy. It also discusses specific data privacy problems and solutions for readers who need to deal with big data.
Item Description:5.8.1 k-Anonymity and Anonymity Sets: k-Confusion.
Physical Description:1 online resource (xiv, 269 pages) : illustrations
Bibliography:Includes bibliographical references and index.
ISBN:9783319573588
9783319573564
Access:Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty

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