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RESEARCH PRODUCT

Privacy-Preserving Overgrid: Secure Data Collection for the Smart Grid

Ilenia TinnirelloFabrizio GiulianoLaura GiarreDaniele Croce

subject

Overlay networksComputer scienceDistributed computingOverlay networkSmart grid02 engineering and technologylcsh:Chemical technologyBiochemistryArticlePeer to peerAnalytical ChemistryDemand response0202 electrical engineering electronic engineering information engineeringlcsh:TP1-1185Electrical and Electronic EngineeringSecret sharingInstrumentationOvergridBuilding automationP2P020203 distributed computingbusiness.industryDistributed; Gossiping; Overgrid; Overlay networks; P2P; Peer to peer; Privacy; Secret sharing; Smart grid020206 networking & telecommunicationsEnergy consumptionAtomic and Molecular Physics and OpticsRenewable energyDistributedElectricity generationSmart gridPrivacyGossipingbusiness

description

In this paper, we present a privacy-preserving scheme for Overgrid, a fully distributed peer-to-peer (P2P) architecture designed to automatically control and implement distributed Demand Response (DR) schemes in a community of smart buildings with energy generation and storage capabilities. To monitor the power consumption of the buildings, while respecting the privacy of the users, we extend our previous Overgrid algorithms to provide privacy preserving data aggregation (PP-Overgrid). This new technique combines a distributed data aggregation scheme with the Secure Multi-Party Computation paradigm. First, we use the energy profiles of hundreds of buildings, classifying the amount of &ldquo

https://doi.org/10.3390/s20082249