Mühlhäuser, Max ; Borges, Fábio ; Volk, Florian (2015)
Efficient, Verifiable, Secure, and Privacy-Friendly Computations for the Smart Grid.
IEEE PES Innovative Smart Grid Technologies (ISGT).
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
In this paper, we present a privacy-preserving protocol between an energy provider and smart meters. Many details about the life of customers can be inferred from fine-grained information on their energy consumption. Different from other state-of-the-art protocols, the presented protocol addresses this issue as well as the integrity of electricity bills. Therefore, our protocol provides secure aggregation of measured consumption per round of measurement and verifiable billing after any period. Aggregation of measured consumption ensures that energy suppliers know the consolidated consumption of their customers. Verifiable billing ensures fairness for customers and their energy supplier. We adapt a homomorphic encryption scheme based on elliptic curve cryptography to efficiently protect the data series of measurements that are collected by smart meters. Moreover, energy suppliers can detect and locate energy loss or fraud in the power grid while retaining the privacy of all consumers.
Typ des Eintrags: | Konferenzveröffentlichung |
---|---|
Erschienen: | 2015 |
Autor(en): | Mühlhäuser, Max ; Borges, Fábio ; Volk, Florian |
Art des Eintrags: | Bibliographie |
Titel: | Efficient, Verifiable, Secure, and Privacy-Friendly Computations for the Smart Grid |
Sprache: | Englisch |
Publikationsjahr: | 2015 |
Verlag: | IEEE |
Veranstaltungstitel: | IEEE PES Innovative Smart Grid Technologies (ISGT) |
Kurzbeschreibung (Abstract): | In this paper, we present a privacy-preserving protocol between an energy provider and smart meters. Many details about the life of customers can be inferred from fine-grained information on their energy consumption. Different from other state-of-the-art protocols, the presented protocol addresses this issue as well as the integrity of electricity bills. Therefore, our protocol provides secure aggregation of measured consumption per round of measurement and verifiable billing after any period. Aggregation of measured consumption ensures that energy suppliers know the consolidated consumption of their customers. Verifiable billing ensures fairness for customers and their energy supplier. We adapt a homomorphic encryption scheme based on elliptic curve cryptography to efficiently protect the data series of measurements that are collected by smart meters. Moreover, energy suppliers can detect and locate energy loss or fraud in the power grid while retaining the privacy of all consumers. |
Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Telekooperation |
Hinterlegungsdatum: | 26 Feb 2015 16:29 |
Letzte Änderung: | 14 Jun 2021 06:14 |
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