Data Privacy: Foundations, New Developments and the Big Data Challenge e-bog
1386,89 DKK
(inkl. moms 1733,61 DKK)
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 i...
E-bog
1386,89 DKK
Forlag
Springer
Udgivet
17 maj 2017
Genrer
Artificial intelligence
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9783319573588
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.