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Personalized Privacy Protection in Big Data

Personalized Privacy Protection in Big Data

Tjek vores konkurrenters priser
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.

Tjek vores konkurrenters priser
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kr 573
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20 kr
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Tjek vores konkurrenters priser
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.

Produktdetaljer
Sprog: Engelsk
Sider: 139
ISBN-13: 9789811637490
Indbinding: Hardback
Udgave:
ISBN-10: 9811637490
Udg. Dato: 25 jul 2021
Længde: 15mm
Bredde: 243mm
Højde: 159mm
Forlag: Springer Verlag, Singapore
Oplagsdato: 25 jul 2021
Forfatter(e) Shui Yu, Lei Cui, Mohammad Reza Nosouhi, Youyang Qu


Kategori Ekspert - og vidensbaserede systemer


ISBN-13 9789811637490


Sprog Engelsk


Indbinding Hardback


Sider 139


Udgave


Længde 15mm


Bredde 243mm


Højde 159mm


Udg. Dato 25 jul 2021


Oplagsdato 25 jul 2021


Forlag Springer Verlag, Singapore

Kategori sammenhænge