On Privacy-Preserving Protocols for Smart Metering Systems

Security and Privacy in Smart Grids

AvFábio Borges de Oliveira

Inbunden, Engelska, 2016

556 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Fler format och utgåvor

Häftad

539 kr

Beskrivning

This book presents current research in privacy-preserving protocols for smart grids. The author shows that this theory can be leveraged into several application scenarios, and how asymmetric DC-Nets are generalizations of additive homomorphic encryption schemes and abstractions of symmetric DC-Nets.

Produktinformation

Utgivningsdatum:2016-08-22
Mått:155 x 235 x 15 mm
Vikt:461 g
Format:Inbunden
Språk:Engelska
Antal sidor:143
Upplaga:16001
Förlag:Springer International Publishing AG
ISBN:9783319407173

Utforska kategorier

Databaser inom Data och IT
IT-säkerhet inom Data och IT

Mer om författaren

Prof. Dr.-Ing. Fábio Borges de Oliveira concluded his doctoral research on security and privacy in smart grids. In 1994, a civil service examination selected him to the position of civil servant in the State University of Londrina - Brazil (UEL - Universidade Estadual de Londrina in Portuguese). In 2002, another civil service examination selected him to work for the Ministry of Science, Technology, and Innovation at the Brazilian National Laboratory for Scientific Computing (LNCC - Laboratório Nacional de Computação Científica in Portuguese). From 2011 to 2015, Horst Görtz Foundation supported him to work at the Technological University of Darmstadt - Germany (TU Darmstadt - Technische Universität Darmstadt in German). He holds a Ph.D. degree in Doctor of Engineering in the Department of Computer Science at TU Darmstadt, a master's degree in Computational Modeling at LNCC, and a bachelor's degree in Mathematics at UEL. Currently, he is developing research on algorithms, security, cryptography, and privacy at LNCC - Brazil.

Innehållsförteckning

Part I: Foundations.- Introduction.- Background and Models.- A Selective Review.- Part II: Contributions.- Reasons to Measure Frequently and Their Requirements.- Quantifying the Aggregation Size.- Selected Privacy-Preserving Protocols.- Analytical Comparison.- Simulation and Validation.- Concluding Remarks.