Privacy-Friendly Energy-Metering via Homomorphic Encryption. Garcia, F. D. & Jacobs, B. In Cuellar, J., Lopez, J., Barthe, G., & Pretschner, A., editors, Security and Trust Management, pages 226–238, 2011. Springer Berlin Heidelberg. abstract bibtex The first part of this paper discusses developments wrt. smart (electricity) meters (simply called E-meter s ) in general, with emphasis on security and privacy issues. The second part will be more technical and describes protocols for secure communication with E-meter s and for fraud detection (leakage) in a privacy-preserving manner. Our approach uses a combination of Paillier’s additive homomorphic encryption and additive secret sharing to compute the aggregated energy consumption of a given set of users.
@inproceedings{garcia_privacy-friendly_2011,
title = {Privacy-{Friendly} {Energy}-{Metering} via {Homomorphic} {Encryption}},
isbn = {978-3-642-22444-7},
abstract = {The first part of this paper discusses developments wrt. smart (electricity) meters (simply called E-meter s ) in general, with emphasis on security and privacy issues. The second part will be more technical and describes protocols for secure communication with E-meter s and for fraud detection (leakage) in a privacy-preserving manner. Our approach uses a combination of Paillier’s additive homomorphic encryption and additive secret sharing to compute the aggregated energy consumption of a given set of users.},
booktitle = {Security and {Trust} {Management}},
publisher = {Springer Berlin Heidelberg},
author = {Garcia, Flavio D. and Jacobs, Bart},
editor = {Cuellar, Jorge and Lopez, Javier and Barthe, Gilles and Pretschner, Alexander},
year = {2011},
pages = {226--238},
}
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