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Privacy-enhancing aggregation techni...
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Lu, Rongxing.
Privacy-enhancing aggregation techniques for smart grid communications
Record Type:
Electronic resources : Monograph/item
Title/Author:
Privacy-enhancing aggregation techniques for smart grid communicationsby Rongxing Lu.
Author:
Lu, Rongxing.
Published:
Cham :Springer International Publishing :2016.
Description:
xvi, 177 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Computer networksSecurity measures.
Online resource:
http://dx.doi.org/10.1007/978-3-319-32899-7
ISBN:
9783319328997$q(electronic bk.)
Privacy-enhancing aggregation techniques for smart grid communications
Lu, Rongxing.
Privacy-enhancing aggregation techniques for smart grid communications
[electronic resource] /by Rongxing Lu. - Cham :Springer International Publishing :2016. - xvi, 177 p. :ill., digital ;24 cm. - Wireless networks,2366-1186. - Wireless networks..
Introduction -- Homomorphic Public Key Encryption Techniques -- Privacy-Preserving Multidimensional Data Aggregation -- Privacy-Preserving Subset Data Aggregation -- Privacy-Preserving Multifunctional Data Aggregation -- Privacy-Preserving Data Aggregation with Fault Tolerance -- Differentially Private Data Aggregation with Fault Tolerance -- Privacy-Preserving Data Aggregation with Data Integrity and Fault Tolerance.
This book provides an overview of security and privacy issues in smart grid communications, as well as the challenges in addressing these issues. It also introduces several privacy enhancing aggregation techniques including multidimensional data aggregation, subset data aggregation, multifunctional data aggregation, data aggregation with fault tolerance, data aggregation with differential privacy, and data aggregation with integrity protection. Offering a comprehensive exploration of various privacy preserving data aggregation techniques, this book is an exceptional resource for the academics, researchers, and graduate students seeking to exploit secure data aggregation techniques in smart grid communications and Internet of Things (IoT) scenarios.
ISBN: 9783319328997$q(electronic bk.)
Standard No.: 10.1007/978-3-319-32899-7doiSubjects--Topical Terms:
185597
Computer networks
--Security measures.
LC Class. No.: TK5105.59
Dewey Class. No.: 005.8
Privacy-enhancing aggregation techniques for smart grid communications
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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.
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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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Computer Science (Springer-11645)
based on 0 review(s)
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EB TK5105.59 L926 2016
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http://dx.doi.org/10.1007/978-3-319-32899-7
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