@inproceedings{danezis2013smart,
author = {Danezis, George and Fournet, Cédric and Kohlweiss, Markulf and Zanella-Béguelin, Santiago},
title = {Smart Meter Aggregation via Secret-Sharing},
booktitle = {2013 Smart Energy Grid Security Workshop, SEGS 2013},
year = {2013},
month = {January},
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.},
publisher = {ACM},
url = {http://approjects.co.za/?big=en-us/research/publication/smart-meter-aggregation-via-secret-sharing/},
edition = {2013 Smart Energy Grid Security Workshop, SEGS 2013},
note = {To appear},
}