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Personalized Privacy Protection in Big Data

Author: Youyang Qu Mohammad Reza Nosouhi Lei Cui Shui Yu

SKU: 9789811637490 Category:
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Description

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. show more

Additional information

Weight 378 g
Author

Youyang Qu Mohammad Reza Nosouhi Lei Cui Shui Yu

Publisher

Springer Verlag, Singapore

Binding

Hardback

ISBN-10

9811637490

Dimensions

159 x 243 x 15

Language

English

Country of Pub

Singapore

Book Condition

New

Notes

34 Illustrations, color; 2 Illustrations, black and white; XI, 139 p. 36 illus., 34 illus. in color.

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