Kniha Privacy Preservation in Distributed Systems Ping Zhao

Privacy Preservation in Distributed Systems

Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Springer
Dostupnost: Skladem u dodavatele
Odesíláme za 5-8 dnů
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This book provides a discussion of privacy in the following three parts: Privacy Issues in Data Aggr...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2025
Stránek
272
EAN
9783031580154
ISBN
303158015X
Enbook ID
49425110
Vydavatel
Hmotnost
417
Rozměry
155 x 235 x 15

Kompletní popis

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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