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Books > Reference & Interdisciplinary > Communication studies > Coding theory & cryptology
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Personalized Privacy Protection in Big Data (Hardcover, 1st ed. 2021)
Loot Price: R1,568
Discovery Miles 15 680
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Personalized Privacy Protection in Big Data (Hardcover, 1st ed. 2021)
Series: Data Analytics
Expected to ship within 9 - 17 working days
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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.
General
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