Description: Personalized Privacy Protection in Big Data, Hardcover by Qu, Youyang; Nosouhi, Mohammad Reza; Cui, Lei; Yu, Shui, ISBN 9811637490, ISBN-13 9789811637490, Brand New, Free P&P in the UK
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, . cyber-physical systems, social networks, and location-based services. Given its scope, th is of interest to scientists, policy-makers, researchers, and postgraduates alike.
Price: 54.89 GBP
Location: Castle Donington
End Time: 2025-02-13T00:56:25.000Z
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Book Title: Personalized Privacy Protection in Big Data
Number of Pages: 139 Pages
Language: English
Publication Name: Personalized Privacy Protection in Big Data
Publisher: Springer Verlag, Singapore
Publication Year: 2021
Subject: Computer Science, Mathematics
Item Height: 235 mm
Item Weight: 401 g
Type: Textbook
Author: Youyang Qu, Mohammad Reza Nosouhi, Shui Yu, Lei Cui
Subject Area: Information Science
Series: Data Analytics
Item Width: 155 mm
Format: Hardcover
