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Data privacy = foundations, new deve...

Torra, Vicenc.

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Data privacy = foundations, new developments and the big data challenge /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data privacy/ by Vicenc Torra.
Reminder of title:	foundations, new developments and the big data challenge /
Author:	Torra, Vicenc.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	xiv, 269 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Machine and Statistical Learning -- On the Classiﬁcation of Protection Procedures -- User's privacy -- Privacy Models and Disclosure Risk Measures -- Masking methods -- Information loss: evaluation and measures -- Selection of masking methods -- Conclusions.
Contained By:	Springer eBooks
Subject:	Data protection. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-57358-8
ISBN:	9783319573588

Data privacy = foundations, new developments and the big data challenge /
Torra, Vicenc.

Data privacyfoundations, new developments and the big data challenge /[electronic resource] :by Vicenc Torra. - Cham :Springer International Publishing :2017. - xiv, 269 p. :ill., digital ;24 cm. - Studies in big data,v.282197-6503 ;. - Studies in big data ;v.28..

Introduction -- Machine and Statistical Learning -- On the Classiﬁcation of Protection Procedures -- User's privacy -- Privacy Models and Disclosure Risk Measures -- Masking methods -- Information loss: evaluation and measures -- Selection of masking methods -- Conclusions.

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.

ISBN: 9783319573588

Standard No.: 10.1007/978-3-319-57358-8doiSubjects--Topical Terms:

590548
Data protection.

LC Class. No.: QA76.9.A25

Dewey Class. No.: 005.8

Data privacy = foundations, new developments and the big data challenge /
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100 1 $a Torra, Vicenc. $3 1004861
245 1 0 $a Data privacy $h [electronic resource] : $b foundations, new developments and the big data challenge / $c by Vicenc Torra.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xiv, 269 p. : $b ill., digital ; $c 24 cm.
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505 0 $a Introduction -- Machine and Statistical Learning -- On the Classiﬁcation of Protection Procedures -- User's privacy -- Privacy Models and Disclosure Risk Measures -- Masking methods -- Information loss: evaluation and measures -- Selection of masking methods -- Conclusions.
520 $a 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.
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