Privacy-Preserving Techniques in Smart Metering: An Overview
Resumo
Smart energy meters grant to power providers the capability to perform many advanced services, and several countries already started to deploy them. However, data analysis can raise privacy issues by inferring daily activities and appliance usages of consumers. Hence, there is a crucial need to deal with the problem of consumers' privacy in smart metering. Several approaches offer ways to provide privacy and preserve some of the benefits. In this paper, we list, experiment and evaluate five of these approaches based on three orthogonal technologies: noise addition, rechargeable batteries, and homomorphic encryption. We evaluate them based on the main needed attributes, such as complexity and accuracy, and conclude that there are many tradeoffs to be dealt with.
Referências
Backes, M. and Meiser, S. (2014). Differentially private smart metering with battery recharging. In Data Privacy Management and Autonomous Spontaneous Security, pages 194–212.
Barbosa, P., Brito, A., and Almeida, H. (2015). Defending against load monitoring in smart metering data through noise addition. In Proc. of the 30th Annual ACM Symposium on Applied Computing (SAC), pages 2218–2224, Salamanca, Spain.
Barbosa, P., Brito, A., and Almeida, H. (2016). A technique to provide differential privacy for appliance usage in smart metering. Information Sciences, pages 355–367.
Barbosa, P., Brito, A., Almeida, H., and Clauß, S. (2014). Lightweight privacy for smart metering data by adding noise. In Proc. of the 29th Annual ACM Symposium on Applied Computing (SAC), pages 531–538, Gyeongju, South Korea.
Batra, N., Kelly, J., Parson, O., Dutta, H., Knottenbelt, W., Rogers, A., Singh, A., and Srivastava, M. (2014). Nilmtk: An open source toolkit for non-intrusive load monitoring. In 5th International Conf. on Future Energy Systems (ACM e-Energy), Cambridge, UK.
Boccuzzi, C. (2010). Smart grid e o big brother energético. Metering International América Latina, 3:82–83.
Bohli, J., Sorge, C., and Ugus, O. (2010). A privacy model for smart metering. In Proc. IEEE International Conf. Communications Workshops (ICC), pages 1–5, Cape Town, South Africa.
Busom, N., Petrlic, R., Sebé, F., Sorge, C., and Valls, M. (2015). Efficient smart metering based on homomorphic encryption. Computer Communications, pages 95–101.
Dwork, C. (2006). Differential privacy. In Proc. of the 33rd International Colloquium on Automata, Languages and Programming, part II (ICALP), pages 1–12, Venice, Italy.
Erkin, Z. and Tsudik, G. (2012). Private computation of spatial and temporal power consumption with smart meters. In Proc. of the 10th Int. Conf. on Applied Cryptography and Network Security (ACNS), pages 561–577.
Garcia, F. D. and Jacobs, B. (2010). Privacy-friendly energy-metering via homomorphic encryption. In Security and Trust Management, volume 6710, pages 226–238.
He, X., Zhang, X., and Kuo, C. C. J. (2013). A distortion-based approach to privacy-preserving metering in smart grids. IEEE Access, 1:67–78.
Kalogridis, G., Efthymiou, C., Denic, S. Z., Lewis, T. A., and Cepeda, R. (2010). Privacy for smart meters: towards undetectable appliance load signatures. In IEEE 1st International Conf. on Smart Grid Communications (SmartGridComm), pages 232–237, Gaithersburg, USA.
Koehle, O. (2012). Just say no to big brother‘s smart meters. The latest in bio-hazard technology. ARC Reproductions.
McLaughlin, S., McDaniel, P., and Aiello, W. (2011). Protecting consumer privacy from electric load monitoring. In Proc. of the 18th ACM Conf. on Computer and Communications Security (CCS), pages 87–98, Illinois, USA.
Reinhardt, A., Baumann, P., Burgstahler, D., Hollick, M., Chonov, H., Werner, M., and Steinmetz, R. (2012). On the accuracy of appliance identification based on distributed load metering data. In Proc. of the 2nd IFIP Conf. on Sust. Internet and ICT for Sustainability, pages 1–9.
Wang, S., Cui, L., Que, J., Choi, D.-H., Jiang, X., and Xie, L. (2012). A randomized response model for privacy preserving smart metering. IEEE Trans. on Smart Grid, 3:1317–1324.
Waters, G. (2006). Conquering advanced metering cost and risk. Electric Energy T&D Magazine, 10:22–25.
Zhao, J., Jung, T., Wang, Y., and Li, X. (2014). Achieving differential privacy of data disclosure in the smart grid. In Proc. of IEEE INFOCOM, pages 504–512.
Barbosa, P., Brito, A., and Almeida, H. (2015). Defending against load monitoring in smart metering data through noise addition. In Proc. of the 30th Annual ACM Symposium on Applied Computing (SAC), pages 2218–2224, Salamanca, Spain.
Barbosa, P., Brito, A., and Almeida, H. (2016). A technique to provide differential privacy for appliance usage in smart metering. Information Sciences, pages 355–367.
Barbosa, P., Brito, A., Almeida, H., and Clauß, S. (2014). Lightweight privacy for smart metering data by adding noise. In Proc. of the 29th Annual ACM Symposium on Applied Computing (SAC), pages 531–538, Gyeongju, South Korea.
Batra, N., Kelly, J., Parson, O., Dutta, H., Knottenbelt, W., Rogers, A., Singh, A., and Srivastava, M. (2014). Nilmtk: An open source toolkit for non-intrusive load monitoring. In 5th International Conf. on Future Energy Systems (ACM e-Energy), Cambridge, UK.
Boccuzzi, C. (2010). Smart grid e o big brother energético. Metering International América Latina, 3:82–83.
Bohli, J., Sorge, C., and Ugus, O. (2010). A privacy model for smart metering. In Proc. IEEE International Conf. Communications Workshops (ICC), pages 1–5, Cape Town, South Africa.
Busom, N., Petrlic, R., Sebé, F., Sorge, C., and Valls, M. (2015). Efficient smart metering based on homomorphic encryption. Computer Communications, pages 95–101.
Dwork, C. (2006). Differential privacy. In Proc. of the 33rd International Colloquium on Automata, Languages and Programming, part II (ICALP), pages 1–12, Venice, Italy.
Erkin, Z. and Tsudik, G. (2012). Private computation of spatial and temporal power consumption with smart meters. In Proc. of the 10th Int. Conf. on Applied Cryptography and Network Security (ACNS), pages 561–577.
Garcia, F. D. and Jacobs, B. (2010). Privacy-friendly energy-metering via homomorphic encryption. In Security and Trust Management, volume 6710, pages 226–238.
He, X., Zhang, X., and Kuo, C. C. J. (2013). A distortion-based approach to privacy-preserving metering in smart grids. IEEE Access, 1:67–78.
Kalogridis, G., Efthymiou, C., Denic, S. Z., Lewis, T. A., and Cepeda, R. (2010). Privacy for smart meters: towards undetectable appliance load signatures. In IEEE 1st International Conf. on Smart Grid Communications (SmartGridComm), pages 232–237, Gaithersburg, USA.
Koehle, O. (2012). Just say no to big brother‘s smart meters. The latest in bio-hazard technology. ARC Reproductions.
McLaughlin, S., McDaniel, P., and Aiello, W. (2011). Protecting consumer privacy from electric load monitoring. In Proc. of the 18th ACM Conf. on Computer and Communications Security (CCS), pages 87–98, Illinois, USA.
Reinhardt, A., Baumann, P., Burgstahler, D., Hollick, M., Chonov, H., Werner, M., and Steinmetz, R. (2012). On the accuracy of appliance identification based on distributed load metering data. In Proc. of the 2nd IFIP Conf. on Sust. Internet and ICT for Sustainability, pages 1–9.
Wang, S., Cui, L., Que, J., Choi, D.-H., Jiang, X., and Xie, L. (2012). A randomized response model for privacy preserving smart metering. IEEE Trans. on Smart Grid, 3:1317–1324.
Waters, G. (2006). Conquering advanced metering cost and risk. Electric Energy T&D Magazine, 10:22–25.
Zhao, J., Jung, T., Wang, Y., and Li, X. (2014). Achieving differential privacy of data disclosure in the smart grid. In Proc. of IEEE INFOCOM, pages 504–512.
Publicado
07/11/2016
Como Citar
BARBOSA, Pedro; FREITAS, Lucas; BRITO, Andrey; SILVA, Leandro.
Privacy-Preserving Techniques in Smart Metering: An Overview. In: SIMPÓSIO BRASILEIRO DE SEGURANÇA DA INFORMAÇÃO E DE SISTEMAS COMPUTACIONAIS (SBSEG), 16. , 2016, Niterói.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2016
.
p. 30-43.
DOI: https://doi.org/10.5753/sbseg.2016.19296.
