Téléchargez le livre : Privacy Preservation in Distributed Systems

Privacy Preservation in Distributed Systems

Algorithms and Applications de

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Éditeur :

Springer


Paru le : 2024-05-30

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Description

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.
Pages
256 pages
Collection
n.c
Parution
2024-05-30
Marque
Springer
EAN papier
9783031580123
EAN PDF
9783031580130
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
11530 Ko
Prix
158,24 €
EAN EPUB
9783031580130
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
33116 Ko
Prix
158,24 €

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