Authors: Christian Callegari; Stefano Giordano; Michele Pagano; Gregorio Procissi
Addresses: CNIT and Department of Information Engineering, University of Pisa, Pisa, Italy ' CNIT and Department of Information Engineering, University of Pisa, Pisa, Italy ' CNIT and Department of Information Engineering, University of Pisa, Pisa, Italy ' CNIT and Department of Information Engineering, University of Pisa, Pisa, Italy
Abstract: Smart grids are electricity networks that can intelligently integrate the action of all connected users - producers, consumers, and prosumers (i.e., producers and consumers at the same time) - in order to efficiently deliver sustainable, economic and secure electricity supplies. Smart grids rely on a two-way communication infrastructures in which energy measurement data taken at users located smart meters, as well as control information, must be exchanged in real-time or - at least - near real-time, while simultaneously guaranteeing a secure and privacy preserving communication. This paper addresses such a problem by presenting a distributed communication architecture that guarantees the privacy of fine-grained users data while enabling the energy supplier to access aggregate energy measurements and per-user coarse-grained data for billing purposes. The key idea underlying the proposed architecture is to adopt a secure multiparty computation method based on a verifiable secret sharing of the keys used by the smart meters to encrypt their sensitive data. This approach allows to remove the need for any intermediate aggregator element with clear benefits in terms of scalability and robustness.
Keywords: smart grids; secure multiparty computation; homomorphic secret sharing; bi-homomorphic cryptography; privacy preservation; privacy protection; smart grid security; distributed communication architecture; smart meters; encryption.
International Journal of Trust Management in Computing and Communications, 2016 Vol.3 No.3, pp.269 - 290
Received: 01 Apr 2016
Accepted: 18 Jul 2016
Published online: 27 Jan 2017 *