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Privacy-Preserving Energy-Reading for Smart Meter

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Inclusive Smart Cities and e-Health (ICOST 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9102))

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Abstract

Smart Meters belong to the Advanced Metering Infrastructure (AMI) and allow customers to monitor locally and remotely the current usage of energy. Providers query Smart Meters for billing purpose or to establish the amount of energy needed by houses. However, reading details sent from smart meters to the energy provider can be used to violate customers’ privacy. In this paper, our contribution is two-fold: first, we present an architecture to turn traditional energy meters into Smart Meters, and then we illustrate a privacy-preserving solution, which uses Secure Two-party Computation, to preserve customers’ privacy during energy-readings. In particular, we deployed a Smart Meter built upon an existing energy meter available in Italy. Then, we collected and analysed an energy trace of two months, and we tag customers hourly/daily/monthly habits by observing their consumes. Finally, we provide the feasibility of our solution to protect customers’ privacy.

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References

  1. Andrew, C., Yao, C.: Protocols for secure computations. In: 23rd IEEE Symposium on FOCS, pp. 160–164 (1982)

    Google Scholar 

  2. Ben-David, A., Nisan, N., Pinkas,B.: Fairplaymp: a system for secure multi-party computation. In: Proceedings of the CCS Conference, pp. 257–266. ACM, New York, NY (2008)

    Google Scholar 

  3. Biselli, A., Franz, E., Coutinho, M.P.: Protection of consumer data in the smart grid compliant with the german smart metering guideline. In: Proceedings of the First ACM Workshop on Smart Energy Grid Security, SEGS 2013, pp. 41–52. ACM, New York, NY (2013)

    Google Scholar 

  4. C. P. U. Commission. The future of privacy forum and truste launch a smart grid privacy seal program, May 2011. http://tiny.cc/jlpwhx

  5. Costantino, G., Martinelli, F., Santi, P.: Investigating the Privacy vs. Forwarding Accuracy Tradeoff in Opportunistic Interest-Casting. Transactions on mobile computing (2013)

    Google Scholar 

  6. Costantino, G., Martinelli, F., Santi, P., Amoruso, D.: An implementation of secure two-party computation for smartphones with application to privacy-preserving interest-cast. In: Proceedings of the 18th International Conference Mobicom, pp. 447–450. ACM (2012)

    Google Scholar 

  7. Danezis, G., Fournet, C., Kohlweiss, M., Béguelin, S.Z.: Smart meter aggregation via secret-sharing. In SEGS@CCS, pp. 75–80 (2013)

    Google Scholar 

  8. Greveler, U., Justus, B., Loehr, D.: Forensic content detection through power consumption. In: IEEE ICC, pp. 6759–6763, June

    Google Scholar 

  9. Heck, W.: Smart energy meter will not be compulsory, April 2009. http://tiny.cc/9vpwhx

  10. Holzer, A., Franz, M., Katzenbeisser, S., Veith, H.: Secure two-party computations in ansi c. In: Proceedings of the CCS Conference, CCS 2012, pp. 772–783, NY, USA (2012)

    Google Scholar 

  11. Huang, Y., Chapman, P., Evans, D.: Privacy-preserving applications on smartphones. In: Proceedings of the 6th USENIX Conference on Hot Topics in Security, HotSec 2011, pp. 4–4. USENIX Association, Berkeley, CA (2011)

    Google Scholar 

  12. Kolesnikov, V., Schneider, T.: Improved garbled circuit: free XOR gates and applications. In: Aceto, L., Damgård, I., Goldberg, L.A., Halldórsson, M.M., Ingólfsdóttir, A., Walukiewicz, I. (eds.) ICALP 2008, Part II. LNCS, vol. 5126, pp. 486–498. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  13. Malkhi, D., Nisan, N., Pinkas, B., Sella, Y.: Fairplay—a secure two-party computation system. In: Proceedings of the 13th Conference on USENIX Security Symposium - vol. 13, SSYM 2004, pp. 20–20. USENIX Association, Berkeley, CA (2004)

    Google Scholar 

  14. Mármol, F., Sorge, C., Ugus, O., Pérez, G.: Do not snoop my habits: preserving privacy in the smart grid. IEEE Communications Magazine 50(5), 166–172 (2012)

    Article  Google Scholar 

  15. Molina-Markham, A., Danezis, G., Fu, K., Shenoy, P., Irwin, D.: Designing privacy-preserving smart meters with low-cost microcontrollers. In: Keromytis, A.D. (ed.) FC 2012. LNCS, vol. 7397, pp. 239–253. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  16. Molina-Markham, A., Shenoy, P., Fu, K., Cecchet, E., Irwin, D.: Private memoirs of a smart meter. In: Proceedings of the SenSys Workshop (Builsys), BuildSys 2010, pp. 61–66. ACM, New York, NY (2010)

    Google Scholar 

  17. Quinn, E.L.: Privacy and the new energy infrastructure, p. 43, February 2009

    Google Scholar 

  18. Rial, A., Danezis, G.: Privacy-preserving smart metering. In: Proceedings of the 10th Annual ACM Workshop on Privacy in the Electronic Society, WPES 2011, pp. 49–60. ACM, New York, NY (2011)

    Google Scholar 

  19. Sankar, L., Kar, S., Tandon, R., Poor, H.V.: Competitive privacy in the smart grid: an information-theoretic approach. CoRR, abs/1108.2237 (2011)

    Google Scholar 

  20. Thoma, C., Cui, T., Franchetti, F.: Privacy preserving smart metering system based retail level electricity market. In: Power and Energy Society General Meeting (PES), 2013 IEEE, pp. 1–5, July 2013

    Google Scholar 

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Author information

Authors and Affiliations

  1. Istituto di Informatica e Telematica, CNR, Pisa, Italy

    Gianpiero Costantino & Fabio Martinelli

Authors
  1. Gianpiero Costantino
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  2. Fabio Martinelli
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Corresponding author

Correspondence to Gianpiero Costantino .

Editor information

Editors and Affiliations

  1. University of Geneva, Geneva, Switzerland

    Antoine Geissbühler

  2. Université Joseph Fourier, Grenoble, France

    Jacques Demongeot

  3. Institut Mines Télécom Paris, CNRS IPAL (UMI 2955 Singapore), Paris, France

    Mounir Mokhtari

  4. Université de Sherbrooke, Sherbrooke, Québec, Canada

    Bessam Abdulrazak

  5. Institut Mines Télécom, CNRS LIRMM, Paris, France

    Hamdi Aloulou

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Costantino, G., Martinelli, F. (2015). Privacy-Preserving Energy-Reading for Smart Meter. In: Geissbühler, A., Demongeot, J., Mokhtari, M., Abdulrazak, B., Aloulou, H. (eds) Inclusive Smart Cities and e-Health. ICOST 2015. Lecture Notes in Computer Science(), vol 9102. Springer, Cham. https://doi.org/10.1007/978-3-319-19312-0_14

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  • DOI: https://doi.org/10.1007/978-3-319-19312-0_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19311-3

  • Online ISBN: 978-3-319-19312-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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