Data Privacy: Foundations, New Developments and the Big Data Challenge

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Éditeur :

Springer


Collection :

Studies in Big Data

Paru le : 2017-05-17

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Description

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.

Pages
269 pages
Collection
Studies in Big Data
Parution
2017-05-17
Marque
Springer
EAN papier
9783319573564
EAN PDF
9783319573588

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
4301 Ko
Prix
168,79 €
EAN EPUB
9783319573588

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
2990 Ko
Prix
168,79 €