Personalized privacy protection in big data / Youyang Qu, Mohammad Reza Nosouhi, Lei Cui, Shui Yu.
Qu, Youyang, author; Nosouhi, Mohammad Reza, author; Cui, Lei, author; Yu, Shui (Computer scientist), author.
2021
QA76.9.A25
Available Online

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Title Personalized privacy protection in big data / Youyang Qu, Mohammad Reza Nosouhi, Lei Cui, Shui Yu.
Author Qu, Youyang, author
ISBN 9789811637506 (electronic bk.)
9811637504 (electronic bk.)
9811637490
9789811637490
DOI https://doi.org/10.1007/978-981-16-3750-6
Imprint Singapore : Springer, 2021.
Language English
Description 1 online resource (xi, 139 pages) : illustrations
Other Standard Identifiers 10.1007/978-981-16-3750-6 doi
Call Number QA76.9.A25
Dewey Decimal Classification 005.7
Summary 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.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed August 3, 2021).
Added Author Nosouhi, Mohammad Reza, author
Cui, Lei, author
Yu, Shui (Computer scientist), author.
Series Data analytics.
Available in Other Form Personalized Privacy Protection in Big Data.
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Chapter 1: Introduction
Chapter 2: Current Methods of Privacy Protection
Chapter 3: Privacy Attacks
Chapter 4: Personalize Privacy Defense
Chapter 5: Future Directions
Chapter6: Summary and Outlook.

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