This paper presents a new privacy-preserving smart metering system. Our scheme is private under the differential privacy model and therefore provides strong and provable guarantees. With our scheme, an (electricity) supplier can periodically collect data from smart meters and derive aggregated statistics without learning anything about the activities of individual households. For example, a supplier cannot tell from a user's trace whether or when he watched TV or turned on heating. Our scheme is simple, efficient and practical. Processing cost is very limited: smart meters only have to add noise to their data and encrypt the results with an efficient stream cipher. © 2011 Springer-Verlag.
CITATION STYLE
Ács, G., & Castelluccia, C. (2011). I have a DREAM! (DiffeRentially privatE smArt Metering). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6958 LNCS, pp. 118–132). https://doi.org/10.1007/978-3-642-24178-9_9
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