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Data Privacy: Foundations, New Developments and the Big Data Challenge (Studies in Big Data, nr. 28)

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en Limba Engleză Hardback – 29 May 2017
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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Specificații

ISBN-13: 9783319573564
ISBN-10: 331957356X
Pagini: 269
Ilustrații: XIV, 269 p. 22 illus.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.59 kg
Ediția: 1st ed. 2017
Editura: Springer
Colecția Springer
Seria Studies in Big Data

Locul publicării: Cham, Switzerland

Cuprins

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.

Textul de pe ultima copertă

​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.


Caracteristici

Includes recent research on data privacy
Provides background information as well as new developments
Discusses the challenge that big data presents for data privacy
Includes supplementary material: sn.pub/extras
Includes supplementary material: sn.pub/extras