Capa do artigo Personalized Privacy Protection In Big Data
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Personalized Privacy Protection In Big Data eBook

by Shui Yu, Mohammad Reza Nosouhi, Lei Cui e Youyang Qu
language: english
Publisher: Springer Nature Singapore, July of 2021 ‧
72,86€
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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.

Personalized Privacy Protection In Big Data

by Shui Yu, Mohammad Reza Nosouhi, Lei Cui e Youyang Qu

Property Description
ISBN: 9789811637506
Publisher: Springer Nature Singapore
Release Date: July of 2021
Language: English
Format: eBook
Collection: Data Analytics
Categories: eBooks in English > Management > Management and Organization
EAN: 9789811637506
Acessibilidade: Ver características de acessibilidade indicadas pelo editor

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