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Ajouter au panierEtat : New. 2024th edition NO-PA16APR2015-KAP.
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Ajouter au panierTaschenbuch. Etat : Neu. Privacy Preservation in Distributed Systems | Algorithms and Applications | Guanglin Zhang (u. a.) | Taschenbuch | XIV | Englisch | 2025 | Springer | EAN 9783031580154 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Edité par Springer Nature Switzerland Mai 2024, 2024
ISBN 10 : 3031580125 ISBN 13 : 9783031580123
Langue: anglais
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Ajouter au panierBuch. Etat : Neu. Neuware -This book provides a discussion of privacy in the following three parts: Privacy Issues in Data Aggregation; Privacy Issues in Indoor Localization; and Privacy-Preserving Offloading in MEC. In Part 1, the book proposes LocMIA, which shifts from membership inference attacks against aggregated location data to a binary classification problem, synthesizing privacy preserving traces by enhancing the plausibility of synthetic traces with social networks. In Part 2, the book highlights Indoor Localization to propose a lightweight scheme that can protect both location privacy and data privacy of LS. In Part 3, it investigates the tradeoff between computation rate and privacy protection for task offloading a multi-user MEC system, and verifies that the proposed load balancing strategy improves the computing service capability of the MEC system. In summary, all the algorithms discussed in this book are of great significance in demonstrating the importance of privacy.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 272 pp. Englisch.
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering.
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ISBN 10 : 3031580125 ISBN 13 : 9783031580123
Langue: anglais
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Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a discussion of privacy in the following three parts: Privacy Issues in Data Aggregation; Privacy Issues in Indoor Localization; and Privacy-Preserving Offloading in MEC. In Part 1, the book proposes LocMIA, which shifts from membership inference attacks against aggregated location data to a binary classification problem, synthesizing privacy preserving traces by enhancing the plausibility of synthetic traces with social networks. In Part 2, the book highlights Indoor Localization to propose a lightweight scheme that can protect both location privacy and data privacy of LS. In Part 3, it investigates the tradeoff between computation rate and privacy protection for task offloading a multi-user MEC system, and verifies that the proposed load balancing strategy improves the computing service capability of the MEC system. In summary, all the algorithms discussed in this book are of great significance in demonstrating the importance of privacy.
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Ajouter au panierHardcover. Etat : Brand New. 270 pages. 9.25x6.10x9.21 inches. In Stock.
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Edité par Springer, Springer Jun 2025, 2025
ISBN 10 : 303158015X ISBN 13 : 9783031580154
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 272 pp. Englisch.
Edité par Springer, Berlin, Springer Nature Switzerland, Springer, 2024
ISBN 10 : 3031580125 ISBN 13 : 9783031580123
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Ajouter au panierBuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a discussion of privacy in the following three parts: Privacy Issues in Data Aggregation; Privacy Issues in Indoor Localization; and Privacy-Preserving Offloading in MEC. In Part 1, the book proposes LocMIA, which shifts from membership inference attacks against aggregated location data to a binary classification problem, synthesizing privacy preserving traces by enhancing the plausibility of synthetic traces with social networks. In Part 2, the book highlights Indoor Localization to propose a lightweight scheme that can protect both location privacy and data privacy of LS. In Part 3, it investigates the tradeoff between computation rate and privacy protection for task offloading a multi-user MEC system, and verifies that the proposed load balancing strategy improves the computing service capability of the MEC system. In summary, all the algorithms discussed in this book are of great significance in demonstrating the importance of privacy. 256 pp. Englisch.
Edité par Springer, Berlin|Springer Nature Switzerland|Springer, 2024
ISBN 10 : 3031580125 ISBN 13 : 9783031580123
Langue: anglais
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book provides a discussion of privacy in the following three parts: Privacy Issues in Data Aggregation Privacy Issues in Indoor Localization and Privacy-Preserving Offloading in MEC. In Part 1, the book proposes LocMIA, which shifts from membershi.
Edité par Springer Nature Switzerland, 2024
ISBN 10 : 3031580125 ISBN 13 : 9783031580123
Langue: anglais
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Ajouter au panierBuch. Etat : Neu. Privacy Preservation in Distributed Systems | Algorithms and Applications | Guanglin Zhang (u. a.) | Buch | xiv | Englisch | 2024 | Springer Nature Switzerland | EAN 9783031580123 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Edité par Springer, Springer Jun 2025, 2025
ISBN 10 : 303158015X ISBN 13 : 9783031580154
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 272 pp. Englisch.
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Ajouter au panierEtat : New. PRINT ON DEMAND.