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Viac informácií o knihe Privacy Preservation in Distributed Systems

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Anotácia knihy

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.

Parametre knihy

Zaradenie knihy Knihy po anglicky Technology, engineering, agriculture Electronics & communications engineering Communications engineering / telecommunications

• Celý názov: Privacy Preservation in Distributed Systems
• Podnázov: Algorithms and Applications
• Autor: Guanglin Zhang, Ping Zhao, Anqi Zhang
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 250
• EAN: 9783031580123
• ID: 45246285
• Nakladateľ: Springer, Berlin
• Rozmery: 235 × 155 mm
• Dátum vydania: 20. August 2024

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