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Privacy-Enhancing Aggregation Techniques for Smart Grid Communications

This book provides an overview of security and privacy issues in smart grid communications, as well as the challenges in addressing these issues. It also introduces several privacy enhancing aggregation techniques including multidimensional data aggregation, subset data aggregation, multifunctional...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Lu, Rongxing (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Wireless Networks,
Temas:
Acceso en línea:Texto Completo

MARC

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300 |a XVI, 177 p. 28 illus.  |b online resource. 
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490 1 |a Wireless Networks,  |x 2366-1445 
505 0 |a Introduction -- Homomorphic Public Key Encryption Techniques -- Privacy-Preserving Multidimensional Data Aggregation -- Privacy-Preserving Subset Data Aggregation -- Privacy-Preserving Multifunctional Data Aggregation -- Privacy-Preserving Data Aggregation with Fault Tolerance -- Differentially Private Data Aggregation with Fault Tolerance -- Privacy-Preserving Data Aggregation with Data Integrity and Fault Tolerance. 
520 |a This book provides an overview of security and privacy issues in smart grid communications, as well as the challenges in addressing these issues. It also introduces several privacy enhancing aggregation techniques including multidimensional data aggregation, subset data aggregation, multifunctional data aggregation, data aggregation with fault tolerance, data aggregation with differential privacy, and data aggregation with integrity protection. Offering a comprehensive exploration of various privacy preserving data aggregation techniques, this book is an exceptional resource for the academics, researchers, and graduate students seeking to exploit secure data aggregation techniques in smart grid communications and Internet of Things (IoT) scenarios. 
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