Abstract | ||
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The introduction of information and communication technologies to the traditional energy grid offers advantages like efficiency, increased reliability, resilience and better control of demand-response, while on the other hand poses customers' privacy at risk. Aggregation of electricity consumption readings in intermediate nodes is needed for efficient network utilisation; however, by using information collected by a smart meter, an attacker can deduce whether a house is empty from its residents, which devices are being used, residents' habits and so on. Here, we propose a privacy-preserving aggregation protocol that obfuscates individual consumption readings, while at the same time allows their aggregation without loss of accuracy. The same protocol is easily extensible to support privacy-preserving customer billing as well. Our solution is lightweight and presents additive homomorphic properties based on standard and easy to implement cryptographic operations, while it does not require an always available trusted third party for its operation. Finally, we show that knowledge of the obfuscated values does not affect customer privacy, since they cannot reveal enough information for an attacker to infer real consumption values. |
Year | DOI | Venue |
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2018 | 10.1016/j.cose.2017.11.008 | Computers & Security |
Keywords | Field | DocType |
Industrial communication,Communication system security,Data security,Power grids,Smart grid,Power system security,Privacy | Homomorphic encryption,Internet privacy,Trusted third party,Smart grid,Computer security,Computer science,Cryptography,Grid energy storage,Information and Communications Technology,Smart meter,Obfuscation | Journal |
Volume | ISSN | Citations |
73 | 0167-4048 | 0 |
PageRank | References | Authors |
0.34 | 19 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Georgios Karopoulos | 1 | 18 | 6.39 |
Christoforos Ntantogian | 2 | 86 | 13.03 |
Christos Xenakis | 3 | 221 | 28.00 |