Can I read Personalized Privacy Protection in Big Data on EtoBox?

Personalized Privacy Protection in Big Data by Qu, Youyang & Nosouhi, Mohammad Reza & Cui, Lei & Yu, Shui is a nonfiction available to read on EtoBox.

What is Personalized Privacy Protection in Big Data about?

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.

Who reads Personalized Privacy Protection in Big Data?

Author

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

Publisher

Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd

Published

2021

Language

EN

ISBN

9789811637506

Category

nonfiction

Subjects

Computer Science, Science, Management