Abstract
Fine-grained meter readings enable applications in an advanced metering infrastructure. However, those meter readings threaten personal privacy by implying a sketch of daily activities of households. The privacy issue has been addressed in smart metering systems by either a trusted third party assumption or cryptographic primitives. We address the privacy issue by using a trusted platform module and lightweight cryptographic primitives. Our smart metering system simultaneously supports the billing and load monitoring applications in a privacy preserving manner. It allows an electricity service provider obtain sums of meter readings over a time period and a monitoring center obtain sums of meter readings from meters in an area at some recent time unit while keeping individual meter reading private. Moreover, we formally prove that our system is privacy preserving. Our system provides a simple yet very practical solution to a privacy preserving smart metering system.
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Ontario energy board, smart meters and time of use (tou) prices, webpage available at http://www.ontarioenergyboard.ca/OEB/Consumers/Electricity/Smart+Meters
Smart grid cyber security strategy and requirements. National Institute of Standards and Technology (U.S.) Interagency Reports, DRAFT-NISTIR-7628 (2009)
Ács, G., Castelluccia, C.: I Have a DREAM (DiffeRentially privatE smArt Metering). In: Filler, T., Pevný, T., Craver, S., Ker, A. (eds.) IH 2011. LNCS, vol. 6958, pp. 118–132. Springer, Heidelberg (2011)
Bohli, J.M., Sorge, C., Ugus, O.: A privacy model for smart metering. In: Proceedings of the 1st IEEE International Workshop on Smart Grid Communications (2010)
Chan, T.H.H., Shi, E., Song, D.: Privacy preserving stream aggregation with fault tolerance. In: Proceedings of the 16th International Conference on Financial Cryptography and Data Security - FC 2012. LNCS. Springer (2012)
Garcia, F.D., Jacobs, B.: Privacy-Friendly Energy-Metering via Homomorphic Encryption. In: Cuellar, J., Lopez, J., Barthe, G., Pretschner, A. (eds.) STM 2010. LNCS, vol. 6710, pp. 226–238. Springer, Heidelberg (2011)
Hart, G.W.: Nonintrusive appliance load monitoring. In: Proceedings of the IEEE, pp. 1870–1891. IEEE Press (1992)
Inc., A.P.L.S.: Aclara ami industry glossary (2008)
Jawurek, M., Johns, M., Kerschbaum, F.: Plug-in privacy for smart metering billing. Computing Research Repository - CoRR (2010)
Kursawe, K., Danezis, G., Kohlweiss, M.: Privacy-Friendly Aggregation for the Smart-Grid. In: Fischer-Hübner, S., Hopper, N. (eds.) PETS 2011. LNCS, vol. 6794, pp. 175–191. Springer, Heidelberg (2011)
Laughman, C., Lee, K., Cox, R., Shaw, S., Leeb, S., Norford, L., Armstrong, P.: Power signature analysis. IEEE Power and Energy Magazine 1, 56–63 (2003)
LeMay, M., Gross, G., Gunter, C.A., Garg, S.: Unified architecture for large-scale attested metering. In: Proceedings of the 40th Hawaii International International Conference on Systems Science - HICSS 2007, p. 115. IEEE Computer Society (2007)
Metke, A.R., Ekl, R.L.: Security technology for smart grid networks. IEEE Transactions on Smart Grid 1(1), 99–107 (2010)
Molina-Markham, A., Shenoy, P., Fu, K., Cecchet, E., Irwin, D.: Private memoirs of a smart meter. In: Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building - BuildSys 2010, pp. 61–66. ACM (2010)
Petrlic, R.: A privacy preserving concept for smart grids. In: Sicherheit in vernetzten Systemen: 18. DFN Workshop, pp. B1–B14. Books on Demand GmbH (2010)
Rial, A., Danezis, G.: Privacy-preserving smart metering. Microsoft Technical Report, MSR-TR-2010-150 (2010)
Shi, E., Chan, T.H.H., Rieffel, E., Chow, R., Song, D.: Privacy-preserving aggregation of time-series data. In: Proceedings of the 18th Annual Network and Distributed System Security - NDSS 2011. The Internet Society (2011)
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Lin, HY., Tzeng, WG., Shen, ST., Lin, BS.P. (2012). A Practical Smart Metering System Supporting Privacy Preserving Billing and Load Monitoring. In: Bao, F., Samarati, P., Zhou, J. (eds) Applied Cryptography and Network Security. ACNS 2012. Lecture Notes in Computer Science, vol 7341. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31284-7_32
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DOI: https://doi.org/10.1007/978-3-642-31284-7_32
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