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Personalized Privacy Protection in Big Data

Engelsk Paperback

Personalized Privacy Protection in Big Data

Engelsk Paperback

512 kr
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Sikker betaling
23 - 25 hverdage

Om denne bog
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 book is of interest to scientists, policy-makers, researchers, and postgraduates alike.



Product detaljer
Sprog:
Engelsk
Sider:
139
ISBN-13:
9789811637520
Indbinding:
Paperback
Udgave:
ISBN-10:
9811637520
Udg. Dato:
26 jul 2022
Længde:
0mm
Bredde:
155mm
Højde:
235mm
Forlag:
Springer Verlag, Singapore
Oplagsdato:
26 jul 2022
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