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A decisional attack to privacy-friendly data aggregation in Smart Grids
2013
2013 IEEE Global Communications Conference (GLOBECOM)
The privacy-preserving management of energy consumption measurements gathered by Smart Meters plays a pivotal role in the Automatic Metering Infrastructure of Smart Grids. Grid users and standardization committees are requiring that utilities and third parties collecting aggregated metering data are prevented from accessing measurements at the household granularity, and data perturbation is a technique used to provide a trade-off between the privacy of individual users and the precision of the
doi:10.1109/glocom.2013.6831469
dblp:conf/globecom/RottondiSPVK13
fatcat:dyhsowyxrnbwxixboa2bjoymfy