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Publication Detail
Smart meter aggregation via secret-sharing
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Conference Proceeding
  • Authors:
    Danezis G, Fournet C, Kohlweiss M, Zanella-Béguelin S
  • Publication date:
  • Pagination:
    75, 80
  • Journal:
    Proceedings of the ACM Conference on Computer and Communications Security
  • Status:
  • Print ISSN:
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. © 2013 ACM.
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