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Taschenbuch. Condition: Neu. Algorithms for Data and Computation Privacy | Alex X. Liu (u. a.) | Taschenbuch | xviii | Englisch | 2021 | Springer | EAN 9783030588984 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer-Nature New York Inc, 2020
ISBN 10: 3030588955 ISBN 13: 9783030588953
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Published by Springer, Berlin|Springer International Publishing|Springer, 2021
ISBN 10: 303058898X ISBN 13: 9783030588984
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book introduces the state-of-the-art algorithms for data and computation privacy.This book introduces the state-of-the-art algorithms for data and computation privacy. It mainly focuses on searchable symmetric encryption algorithms and privacy p.
Language: English
Published by Springer International Publishing, 2020
ISBN 10: 3030588955 ISBN 13: 9783030588953
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. One of the first books that presents designing algorithms for achieving data and computation privacyProvides an in-depth introduction on the algorithms for data and computation privacyAlgorithms presented in this book are fast, scalable.
Seller: Majestic Books, Hounslow, United Kingdom
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Seller: Majestic Books, Hounslow, United Kingdom
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Language: English
Published by Springer, Springer International Publishing Nov 2020, 2020
ISBN 10: 3030588955 ISBN 13: 9783030588953
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book introduces the state-of-the-art algorithms for data and computation privacy. It mainly focuses on searchable symmetric encryption algorithms and privacy preserving multi-party computation algorithms. This book also introduces algorithms for breaking privacy, and gives intuition on how to design algorithm to counter privacy attacks. Some well-designed differential privacy algorithms are also included in this book.Driven by lower cost, higher reliability, better performance, and faster deployment, data and computing services are increasingly outsourced to clouds. In this computing paradigm, one often has to store privacy sensitive data at parties, that cannot fully trust and perform privacy sensitive computation with parties that again cannot fully trust. For both scenarios, preserving data privacy and computation privacy is extremely important. After the Facebook¿Cambridge Analytical data scandal and the implementation of the General Data Protection Regulation by European Union, users are becoming more privacy aware and more concerned with their privacy in this digital world.This book targets database engineers, cloud computing engineers and researchers working in this field. Advanced-level students studying computer science and electrical engineering will also find this book useful as a reference or secondary text.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 424 pp. Englisch.
Language: English
Published by Springer International Publishing, Springer Nov 2021, 2021
ISBN 10: 303058898X ISBN 13: 9783030588984
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book introduces the state-of-the-art algorithms for data and computation privacy. It mainly focuses on searchable symmetric encryption algorithms and privacy preserving multi-party computation algorithms. This book also introduces algorithms for breaking privacy, and gives intuition on how to design algorithm to counter privacy attacks. Some well-designed differential privacy algorithms are also included in this book.Driven by lower cost, higher reliability, better performance, and faster deployment, data and computing services are increasingly outsourced to clouds. In this computing paradigm, one often has to store privacy sensitive data at parties, that cannot fully trust and perform privacy sensitive computation with parties that again cannot fully trust. For both scenarios, preserving data privacy and computation privacy is extremely important. After the Facebook¿Cambridge Analytical data scandal and the implementation of the General Data Protection Regulation by European Union, users are becoming more privacy aware and more concerned with their privacy in this digital world.This book targets database engineers, cloud computing engineers and researchers working in this field. Advanced-level students studying computer science and electrical engineering will also find this book useful as a reference or secondary text.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 424 pp. Englisch.
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Seller: Biblios, Frankfurt am main, HESSE, Germany
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