Verwandte Artikel zu Guide to Data Privacy: Models, Technologies, Solutions

Guide to Data Privacy: Models, Technologies, Solutions - Softcover

 
9783031128387: Guide to Data Privacy: Models, Technologies, Solutions

Zu dieser ISBN ist aktuell kein Angebot verfügbar.

Inhaltsangabe

Data privacy technologies are essential for implementing information systems with privacy by design.

Privacy technologies clearly are needed for ensuring that data does not lead to disclosure, but also that statistics or even data-driven machine learning models do not lead to disclosure.  For example, can a deep-learning model be attacked to discover that sensitive data has been used for its training?  This accessible textbook presents privacy models, computational definitions of privacy, and methods to implement them. Additionally, the book explains and gives plentiful examples of how to implement-among other models-differential privacy, k-anonymity, and secure multiparty computation.

Topics and features:

  • Provides integrated presentation of data privacy (including tools from statistical disclosure control, privacy-preserving data mining, and privacy for communications)
  • Discusses privacy requirements and tools for different types of scenarios, including privacy for data, for computations, and for users
  • Offers characterization of privacy models, comparing their differences, advantages, and disadvantages
  • Describes some of the most relevant algorithms to implement privacy models
  • Includes examples of data protection mechanisms

This unique textbook/guide contains numerous examples and succinctly and comprehensively gathers the relevant information. As such, it will be eminently suitable for undergraduate and graduate students interested in data privacy, as well as professionals wanting a concise overview.

Vicenç Torra is Professor with the Department of Computing Science at Umeå University, Umeå, Sweden.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

  • VerlagSpringer
  • Erscheinungsdatum2022
  • ISBN 10 3031128389
  • ISBN 13 9783031128387
  • EinbandTapa blanda
  • SpracheEnglisch
  • Anzahl der Seiten332
  • Kontakt zum HerstellerNicht verfügbar

(Keine Angebote verfügbar)

Buch Finden:



Kaufgesuch aufgeben

Sie finden Ihr gewünschtes Buch nicht? Wir suchen weiter für Sie. Sobald einer unserer Buchverkäufer das Buch bei AbeBooks anbietet, werden wir Sie informieren!

Kaufgesuch aufgeben

Weitere beliebte Ausgaben desselben Titels

9783031128363: Guide to Data Privacy: Models, Technologies, Solutions (Undergraduate Topics in Computer Science)

Vorgestellte Ausgabe

ISBN 10:  3031128362 ISBN 13:  9783031128363
Verlag: Springer, 2022
Softcover