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Personalized Privacy Protection in Big Data

Af: Shui Yu, Lei Cui, Mohammad Reza Nosouhi, Youyang Qu Engelsk Paperback

Personalized Privacy Protection in Big Data

Af: Shui Yu, Lei Cui, Mohammad Reza Nosouhi, Youyang Qu Engelsk Paperback
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.

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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.

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 139
ISBN-13: 9789811637520
Indbinding: Paperback
Udgave:
ISBN-10: 9811637520
Kategori: Ekspert - og vidensbaserede systemer
Udg. Dato: 26 jul 2022
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Verlag, Singapore
Oplagsdato: 26 jul 2022
Forfatter(e): Shui Yu, Lei Cui, Mohammad Reza Nosouhi, Youyang Qu
Forfatter(e) Shui Yu, Lei Cui, Mohammad Reza Nosouhi, Youyang Qu

Kategori Ekspert - og vidensbaserede systemer

ISBN-13 9789811637520

Sprog Engelsk

Indbinding Paperback

Sider 139

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 26 jul 2022

Oplagsdato 26 jul 2022

Forlag Springer Verlag, Singapore

Kategori sammenhænge