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Efficient, Verifiable, Secure, and Privacy-Friendly Computations for the Smart Grid

Mühlhäuser, Max and Borges, Fábio and Volk, Florian (2015):
Efficient, Verifiable, Secure, and Privacy-Friendly Computations for the Smart Grid.
IEEE, In: IEEE PES Innovative Smart Grid Technologies (ISGT), [Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2015
Creators: Mühlhäuser, Max and Borges, Fábio and Volk, Florian
Title: Efficient, Verifiable, Secure, and Privacy-Friendly Computations for the Smart Grid
Language: English
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.

Publisher: IEEE
Divisions: 20 Department of Computer Science > Telecooperation
20 Department of Computer Science
Event Title: IEEE PES Innovative Smart Grid Technologies (ISGT)
Date Deposited: 26 Feb 2015 16:29
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