Data Privacy: Foundations, New Developments and the Big Data Challenge: Studies in Big Data, cartea 28
Autor Vicenç Torraen Limba Engleză Hardback – 29 mai 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.
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 1123.86 lei 43-57 zile | |
Springer International Publishing – 2 aug 2018 | 1123.86 lei 43-57 zile | |
Hardback (1) | 1130.12 lei 43-57 zile | |
Springer International Publishing – 29 mai 2017 | 1130.12 lei 43-57 zile |
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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: 0.58 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Big Data
Locul publicării:Cham, Switzerland
ISBN-10: 331957356X
Pagini: 269
Ilustrații: XIV, 269 p. 22 illus.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.58 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
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