@inproceedings{7457ce5c4c98400d8c7cb2741b2c7446,
title = "Multi-resolution load curve representation with privacy-preserving aggregation",
abstract = "The availability of individual load curves per household in the smart grid end-user domain combined with nonintrusive load monitoring to infer personal data from these load curves has led to privacy concerns. Two types of approaches show high potential to resolve this issue: (i) secure aggregation and (ii) multi-resolution representation with conditional access. In this paper a combination of these two principle approaches is proposed. It is shown formally that secure aggregation and wavelet-based multi-resolution representation are compatible. Furthermore, it is shown that that the wavelet transformation is compatible with existing privacy-preserving protocols and can be used to extend them with additional degrees of freedom. An implementation of the proposed approach is used for evaluation of feasibility in a low-cost embedded environment. {\textcopyright} 2013 IEEE.",
keywords = "Conditional access, Embedded environment, Multi resolution representation, Nonintrusive load monitoring, Privacy preserving, Privacy-preserving protocols, Secure aggregations, Wavelet transformations, Electric load management, Smart power grids, Data privacy",
author = "D. Engel and G. Eibl",
note = "Conference code: 102471 Cited By :15 Export Date: 14 December 2023 Correspondence Address: Josef Ressel Center for User-Centric Smart Grid Privacy, Urstein Sued 1, A-5412 Urstein/Salzburg, Austria References: Hart George, W., Nonintrusive appliance load monitoring (1992) Proceedings of the IEEE, 80 (12), pp. 1870-1891. , DOI 10.1109/5.192069; Molina-Markham, A., Shenoy, P., Fu, K., Cecchet, E., Irwin, D., Private memoirs of a smart meter (2010) Proc. 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building, Ser. BuildSys '10, pp. 61-66. , New York, NY, USA: ACM; McDaniel, P., McLaughlin, S., Security and privacy challenges in the smart grid (2009) IEEE Security Privacy Magazine, 7 (3), pp. 75-77; Lisovich, M., Mulligan, D., Wicker, S., Inferring personal information from demand-response systems (2010) IEEE Security \& Privacy, 8 (1), pp. 11-20; Kursawe, K., Danezis, G., Kohlweiss, M., Privacy-friendly aggregation for the smart grid (2011) Privacy Enhanced Technology Symposium, pp. 175-191; Acs, G., Castelluccia, C., I have a dream! (differentially private smart metering) (2011) Proc. Information Hiding Conference, pp. 118-132; Li, F., Luo, B., Liu, P., Secure information aggregation for smart grids using homomorphic encryption (2010) Proc. of First IEEE International Conference on Smart Grid Communications, pp. 327-332. , Gaithersburg, Maryland, USA, Oct; Garcia, F., Jacobs, B., Privacy-friendly energy-metering via homomorphic encryption (2011) Security and Trust Management, Ser. Lecture Notes in Computer Science, 6710, pp. 226-238. , J. Cuellar, J. Lopez, G. Barthe, and A. Pretschner, Eds. Springer Berlin / Heidelberg; Erkin, Z., Tsudik, G., Private computation of spatial and temporal power consumption with smart meters (2012) Proceedings of the 10th International Conference on Applied Cryptography and Network Security, Ser. ACNS'12, pp. 561-577. , Berlin, Heidelberg: Springer-Verlag; Li, F., Luo, B., Preserving data integrity for smart grid data aggregation (2012) Smart Grid Communications (SmartGridComm), 2012 IEEE Third International Conference on, pp. 366-371; Erkin, Z., Troncoso-Pastoriza, J., Lagendijk, R., Perez-Gonzalez, F., Privacy-preserving data aggregation in smart metering systems: An overview Signal Processing Magazine, IEEE, 30 (2), pp. 75-86. , March; Efthymiou, C., Kalogridis, G., Smart grid privacy via anonymization of smart metering data (2010) Proceedings of First IEEE International Conference on Smart Grid Communications, pp. 238-243. , Gaithersburg, Maryland, USA, Oct; Engel, D., Wavelet-based load profile representation for smart meter privacy (2013) Proc. IEEE PES Innovative Smart Grid Technologies (ISGT'13), pp. 1-6. , Washington, D.C., USA, Feb; Antoniadis, A., Bigot, J., Sapatinas, T., Wavelet estimators in nonparametric regression: A comparative simulation study (2001) Journal of Statistical Software, 6, pp. 1-83. , http://www.jstatsoft.org/v06/i06/jss057Rev.pdf; Chen, C., Das, B., Cook, D.J., Energy prediction based on resident's activity (2010) Proceedings of the 4th International Workshop on Knowledge Discovery from Sensor Data, , Jul; Guan, C., Luh, P., Michel, L., Wang, Y., Friedland, P., Very short-term load forecasting: Wavelet neural networks with data pre-filtering (2013) IEEE Transactions on Power Systems, 28, pp. 30-41; Paillier, P., Public-key cryptosystems based on composite degree residuosity classes (1999) Proceedings of Eurocrypt '99, Advances in Cryptology, Ser. Lecture Notes in Computer Science, 1592, pp. 223-238. , J. Stern, Ed.,. Prague, Czech Republic: Springer, May; Daubechies, I., Sweldens, W., Factoring wavelet transforms into lifting steps (1998) J. Fourier Anal. Appl., 4 (3), pp. 247-269; Jawurek, M., Kerschbaum, F., Danezis, G., Privacy technologies for smart grids - A survey of options (2012) Microsoft Research, Tech. Rep.; 2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013, ISGT Europe 2013 ; Conference date: 06-10-2013 Through 09-10-2013",
year = "2013",
doi = "10.1109/ISGTEurope.2013.6695231",
language = "English",
booktitle = "IEEE PES ISGT Europe 2013",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
}
SDG 7 Affordable and Clean Energy