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Privacy in Statistical Databases : UNESCO Chair in Data Privacy, International Conference, PSD 2016, Dubrovnik, Croatia, September 14-16, 2016, Proceedings / edited by Josep Domingo-Ferrer, Mirjana Pejić-Bach.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Domingo-Ferrer, Josep, Editor.
Pejić-Bach, Mirjana, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 9867
Information Systems and Applications, incl. Internet/Web, and HCI ; 9867
Language:
English
Subjects (All):
Information technology-Management.
Data mining.
Data protection.
Database management.
Cryptography.
Data encryption (Computer science).
Computers and civilization.
Computer Application in Administrative Data Processing.
Data Mining and Knowledge Discovery.
Data and Information Security.
Database Management.
Cryptology.
Computers and Society.
Local Subjects:
Computer Application in Administrative Data Processing.
Data Mining and Knowledge Discovery.
Data and Information Security.
Database Management.
Cryptology.
Computers and Society.
Physical Description:
1 online resource (X, 273 pages) : 45 illustrations
Edition:
1st ed. 2016.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2016.
System Details:
text file PDF
Summary:
This book constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2016, held in Dubrovnik, Croatia in September 2016 under the sponsorship of the UNESCO chair in Data Privacy. The 19 revised full papers presented were carefully reviewed and selected from 35 submissions. The scope of the conference is on following topics: tabular data protection; microdata and big data masking; protection using privacy models; synthetic data; remote and cloud access; disclosure risk assessment; co-utile anonymization.
Contents:
Tabular Data Protection
Microdata and Big Data Masking
Protection Using Privacy Models
Synthetic Data
Remote and Cloud Access
Disclosure Risk Assessment
Co-utile Anonymization.
Other Format:
Printed edition:
ISBN:
978-3-319-45381-1
9783319453811
Access Restriction:
Restricted for use by site license.

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