BÜCHER VERSANDKOSTENFREI INNERHALB DEUTSCHLANDS
eBook
Personalized Privacy Protection in Big Data
Springer Nature Singapore
ISBN 9789811637506
Standardpreis
Bibliografische Daten
eBook. PDF. Weiches DRM (Wasserzeichen)
2021
XI, 139 p. 36 illus., 34 illus. in color..
In englischer Sprache
Umfang: 139 S.
Verlag: Springer Nature Singapore
ISBN: 9789811637506
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Data Analytics
Produktbeschreibung
This book presents the data privacy protection which has been extensively applied in our current era of big data. However, research into big data privacy is still in its infancy. Given the fact that existing protection methods can result in low data utility and unbalanced trade-offs, personalized privacy protection has become a rapidly expanding research topic.
In this book, the authors explore emerging threats and existing privacy protection methods, and discuss in detail both the advantages and disadvantages of personalized privacy protection. Traditional methods, such as differential privacy and cryptography, are discussed using a comparative and intersectional approach, and are contrasted with emerging methods like federated learning and generative adversarial nets.
The advances discussed cover various applications, e.g. cyber-physical systems, social networks, and location-based services. Given its scope, the bookis of interest to scientists, policy-makers, researchers, and postgraduates alike.
Autorinnen und Autoren
Produktsicherheit
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Libri GmbH
Europaallee 1
36244 Bad Hersfeld, DE
gpsr@libri.de
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