Smart meter aggregation via secret-sharing

George Danezis, Cédric Fournet, Markulf Kohlweiss, Santiago Zanella Béguelin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We design and prototype protocols for processing smart-meter readings while preserving user privacy. We provide support for computing non-linear functions on encrypted readings, implemented by adapting to our setting efficient secret-sharing-based secure multi-party computation techniques. Meter readings are jointly processed by a (public) storage service and a few independent authorities, each owning an additive share of the readings. For non-linear processing, these parties consume pre-shared materials, produced by an off-line trusted third party. This party never processes private readings; it may be implemented using trusted hardware or somewhat homomorphic encryption. The protocol involves minimal, off-line support from the meters---a few keyed hash computations and no communication overhead.
Original languageEnglish
Title of host publicationSEGS'13, Proceedings of the 2013 ACM Workshop on Smart Energy Grid Security, Co-located with CCS 2013, November 8, 2013, Berlin, Germany
PublisherACM
Pages75-80
Number of pages6
ISBN (Electronic)978-1-4503-2492-2
DOIs
Publication statusPublished - 2013
EventSEGS '13 First ACM workshop on Smart energy grid security - Berlin, Germany
Duration: 8 Nov 2013 → …

Conference

ConferenceSEGS '13 First ACM workshop on Smart energy grid security
Abbreviated titleSEGS '13 (CCS 2013)
CountryGermany
CityBerlin
Period8/11/13 → …

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