The widespread deployment of Automatic MeteringudInfrastructures in Smart Grid scenarios rises great concernsudabout privacy preservation of user-related data, from whichuddetailed information about customer’s habits and behaviorsudcan be deduced. Therefore, the users’ individual measurementsudshould be aggregated before being provided to External Entitiesudsuch as utilities, grid managers and third parties.udThis paper proposes a security architecture for distributedudaggregation of additive data, in particular energy consumptionudmetering data, relying on Gateways placed at the customers’udpremises, which collect the data generated by local Metersudand provide communication and cryptographic capabilities. TheudGateways communicate with one another and with the ExternaludEntities by means of a public data network. We propose audsecure communication protocol aimed at preventing Gatewaysudand External Entities from inferring information about individualuddata, in which privacy-preserving aggregation is performed byudmeans of a cryptographic homomorphic scheme. The routing ofudinformation flows can be centralized or it can be performed inuda distributed fashion using a protocol inspired by Chord. Weudcompare the performance of both approaches to the optimaludsolution minimizing the data aggregation delay.
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