Privacy-Enhancing Aggregation Techniques for Smart Grid Communications
1st Edition
Published on 26. May 2016
XVI, 177 pages
978-3-319-32899-7 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XVI, 177 p. 28 illus.
File size
6,86 MB
ISBN-13
978-3-319-32899-7 (9783319328997)
DOI
10.1007/978-3-319-32899-7
Schweitzer Classification
Other editions
Additional editions
Book
06/2016
Springer
€106.99
Shipment within 10-15 days
Content
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.
