Published by China Intercontinental Press, China, 2005
Seller: Aeolian Books, Marysville, WA, U.S.A.
First Edition
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Add to basketPaperback. Condition: Very Good. First Edition. 126 pp. many color illustrations. Size: 8vo - over 7¾" - 9¾" tall.
Published by China Intercontinental Press, 2005
ISBN 10: 7508508025 ISBN 13: 9787508508023
Language: English
Seller: Bulrushed Books, Moscow, ID, U.S.A.
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Add to basketCondition: Good. LIGHTNING FAST SHIPPING! Paperback, in good condition. Pages have LOTS of scattered marks and notes, binding is good, cover is clean. A solid reading copy. ~ Ships Fast!
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: California Books, Miami, FL, U.S.A.
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Add to basketCondition: Hervorragend. Zustand: Hervorragend | Seiten: 308 | Sprache: Englisch | Produktart: Bücher.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Springer International Publishing AG, Cham, 2024
ISBN 10: 3031580125 ISBN 13: 9783031580123
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
Hardcover. Condition: new. Hardcover. 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. This book provides a discussion of privacy in the following three parts: Privacy Issues in Data Aggregation; In Part 2, the book highlights Indoor Localization to propose a lightweight scheme that can protect both location privacy and data privacy of LS. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Springer Nature Switzerland, 2024
ISBN 10: 3031580125 ISBN 13: 9783031580123
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketBuch. Condition: 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.
Seller: California Books, Miami, FL, U.S.A.
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Published by Springer Nature Switzerland Mai 2024, 2024
ISBN 10: 3031580125 ISBN 13: 9783031580123
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketBuch. Condition: 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.
Seller: Books Puddle, New York, NY, U.S.A.
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Add to basketCondition: New. 2024th edition NO-PA16APR2015-KAP.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 270 pages. 9.25x6.10x9.21 inches. In Stock.
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Add to basketHRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by Springer, Berlin|Springer Nature Switzerland|Springer, 2024
ISBN 10: 3031580125 ISBN 13: 9783031580123
Language: English
Seller: moluna, Greven, Germany
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Add to basketCondition: 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.
Published by Springer, Berlin, Springer Nature Switzerland, Springer, 2024
ISBN 10: 3031580125 ISBN 13: 9783031580123
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketBuch. Condition: 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.
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand.
Seller: Biblios, Frankfurt am main, HESSE, Germany
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Add to basketCondition: New. PRINT ON DEMAND.