Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autor principal: Torra, Vicenç
Lenguaje:eng
Publicado: Springer 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-57358-8
http://cds.cern.ch/record/2267248
_version_ 1780954574936342528
author Torra, Vicenç
author_facet Torra, Vicenç
author_sort Torra, Vicenç
collection CERN
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.
id cern-2267248
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
publisher Springer
record_format invenio
spelling cern-22672482021-04-21T19:12:21Zdoi:10.1007/978-3-319-57358-8http://cds.cern.ch/record/2267248engTorra, VicençData privacy foundations, new developments and the big data challengeEngineeringThis 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.Springeroai:cds.cern.ch:22672482017
spellingShingle Engineering
Torra, Vicenç
Data privacy foundations, new developments and the big data challenge
title Data privacy foundations, new developments and the big data challenge
title_full Data privacy foundations, new developments and the big data challenge
title_fullStr Data privacy foundations, new developments and the big data challenge
title_full_unstemmed Data privacy foundations, new developments and the big data challenge
title_short Data privacy foundations, new developments and the big data challenge
title_sort data privacy foundations, new developments and the big data challenge
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-57358-8
http://cds.cern.ch/record/2267248
work_keys_str_mv AT torravicenc dataprivacyfoundationsnewdevelopmentsandthebigdatachallenge