TU Darmstadt / ULB / TUbiblio

EPPP4SMS: Efficient Privacy-Preserving Protocol for Smart Metering Systems and Its Simulation Using Real-World Data

Borges, Fábio ; Mühlhäuser, Max (2014)
EPPP4SMS: Efficient Privacy-Preserving Protocol for Smart Metering Systems and Its Simulation Using Real-World Data.
In: IEEE Transactions on Smart Grid, 5 (6)
doi: 10.1109/TSG.2014.2336265
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

The main contribution of this work is the construction of the Efficient Privacy-Preserving Protocol for Smart Metering Systems (EPPP4SMS), which brings together features of the best privacy-preserving protocols in the literature for smart grids. In addition, EPPP4SMS is faster on the meter side---and in the whole round (encryption, aggregation, and decryption)---than other protocols based on homomorphic encryption, and it is still scalable. Moreover, EPPP4SMS enables energy suppliers and customers to verify the billing information and measurements without leaking private information. Since the energy supplier knows the amount of generated electricity and its flow throughout electrical substations, the energy supplier can use this verification to detect energy loss and fraud. Different from verification based on digital signature, our verification enables new features, e.g., smart meters and their energy supplier can compute the verification without storing the respective encrypted measurements. Furthermore, EPPP4SMS may be suitable to many other scenarios that need aggregation of time-series data keeping privacy protected, including electronic voting, reputation systems, and sensor networks. In this paper, we present theoretical results of EPPP4SMS and their validation by implementation of algorithms and simulation using real-world measurement data.

Typ des Eintrags: Artikel
Erschienen: 2014
Autor(en): Borges, Fábio ; Mühlhäuser, Max
Art des Eintrags: Bibliographie
Titel: EPPP4SMS: Efficient Privacy-Preserving Protocol for Smart Metering Systems and Its Simulation Using Real-World Data
Sprache: Englisch
Publikationsjahr: 23 Juli 2014
Verlag: IEEE
Titel der Zeitschrift, Zeitung oder Schriftenreihe: IEEE Transactions on Smart Grid
Jahrgang/Volume einer Zeitschrift: 5
(Heft-)Nummer: 6
DOI: 10.1109/TSG.2014.2336265
Kurzbeschreibung (Abstract):

The main contribution of this work is the construction of the Efficient Privacy-Preserving Protocol for Smart Metering Systems (EPPP4SMS), which brings together features of the best privacy-preserving protocols in the literature for smart grids. In addition, EPPP4SMS is faster on the meter side---and in the whole round (encryption, aggregation, and decryption)---than other protocols based on homomorphic encryption, and it is still scalable. Moreover, EPPP4SMS enables energy suppliers and customers to verify the billing information and measurements without leaking private information. Since the energy supplier knows the amount of generated electricity and its flow throughout electrical substations, the energy supplier can use this verification to detect energy loss and fraud. Different from verification based on digital signature, our verification enables new features, e.g., smart meters and their energy supplier can compute the verification without storing the respective encrypted measurements. Furthermore, EPPP4SMS may be suitable to many other scenarios that need aggregation of time-series data keeping privacy protected, including electronic voting, reputation systems, and sensor networks. In this paper, we present theoretical results of EPPP4SMS and their validation by implementation of algorithms and simulation using real-world measurement data.

Freie Schlagworte: Homomorphic encryption;privacy;protocol;security;smart grid;time series
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Telekooperation
Hinterlegungsdatum: 16 Mär 2015 16:38
Letzte Änderung: 20 Aug 2021 08:50
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen