Data Analytics

Personalized Privacy Protection in Big Data

Yu, Shui & Qu, Youyang & Nosouhi, Mohammad Reza & Cui, Lei

Data Analytics: Personalized Privacy Protection in Big Data

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.

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Beschrijving Data Analytics: Personalized Privacy Protection in Big Data

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.

ISBN: 9789811637520
Pagina's: 139
Verschenen: 26-07-2022
Serie: Data Analytics
Rubriek: Taalkunde

Druk: 1
Uitvoering: Paperback
Taal: Engels
Uitgever: Springer Verlag, Singapore

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