Skip to main content

Selecting Privacy Solutions to Prioritise Control in Smart Metering Systems

  • Conference paper
  • First Online:
Critical Information Infrastructures Security (CRITIS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 10242))

Abstract

The introduction of the Smart Grid brings with it several benefits to society, because its bi-directional communication allows both users and utilities to have better control over energy usage. However, it also has some privacy issues with respect to the privacy of the customers when analysing their consumption data. In this paper we review the main privacy-preserving techniques that have been proposed and compare their efficiency, to accurately select the most appropriate ones for undertaking control operations. Both privacy and performance are essential for the rapid adoption of Smart Grid technologies.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Mohassel, R.R., Fung, A., Mohammadi, F., Raahemifar, K.: A survey on advanced metering infrastructure. Int. J. Electr. Power Energy Syst. 63, 473–484 (2014)

    Article  Google Scholar 

  2. Jawurek, M., Kerschbaum, F., Danezis, G.: Sok: Privacy technologies for smart grids-a survey of options. Microsoft Res., Cambridge, UK (2012)

    Google Scholar 

  3. Mahmud, R., Vallakati, R., Mukherjee, A., Ranganathan, P., Nejadpak, A.: A survey on smart grid metering infrastructures: threats and solutions. In: 2015 IEEE International Conference on Electro/Information Technology (EIT), pp. 386–391. IEEE (2015)

    Google Scholar 

  4. Souri, H., Dhraief, A., Tlili, S., Drira, K., Belghith, A.: Smart metering privacy-preserving techniques in a nutshell. Proc. Comput. Sci. 32, 1087–1094 (2014)

    Article  Google Scholar 

  5. Finster, S., Baumgart, I.: Privacy-aware smart metering: a survey. IEEE Commun. Surv. Tutorials 16(3), 1732–1745 (2014)

    Article  Google Scholar 

  6. Alcaraz, C., Lopez, J.: Analysis of requirements for critical control systems. Int. J. Crit. Infrastruct. Prot. (IJCIP) 5, 137–145 (2012)

    Article  Google Scholar 

  7. Brundtland Commission et al.: Our common future, Towards sustainable development. World Commission on Environment and Development (WCED). Geneva: United Nation (1987) Chap. 2

    Google Scholar 

  8. Al-Kuwaiti, M., Kyriakopoulos, N., Hussein, S.: A comparative analysis of network dependability, fault-tolerance, reliability, security, and survivability. IEEE Commun. Surv. Tutorials 11(2), 106–124 (2009)

    Article  Google Scholar 

  9. Bohli, J.M., Sorge, C., Ugus, O.: A privacy model for smart metering. In: 2010 IEEE International Conference on Communications Workshops (ICC), pp. 1–5. IEEE (2010)

    Google Scholar 

  10. 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, pp. 61–66. ACM (2010)

    Google Scholar 

  11. Jawurek, M., Johns, M., Kerschbaum, F.: Plug-in privacy for smart metering billing. In: Fischer-Hübner, S., Hopper, N. (eds.) PETS 2011. LNCS, vol. 6794, pp. 192–210. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-22263-4_11

    Chapter  Google Scholar 

  12. Pedersen, T.P.: Non-interactive and information-theoretic secure verifiable secret sharing. In: Feigenbaum, J. (ed.) CRYPTO 1991. LNCS, vol. 576, pp. 129–140. Springer, Heidelberg (1992). https://doi.org/10.1007/3-540-46766-1_9

    Google Scholar 

  13. LeMay, M., Gross, G., Gunter, C.A., Garg, S.: Unified architecture for large-scale attested metering. In: 2007 40th Annual Hawaii International Conference on System Sciences, HICSS 2007, pp. 115–115. IEEE (2007)

    Google Scholar 

  14. Kalogridis, G., Efthymiou, C., Denic, S.Z., Lewis, T.A., Cepeda, R.: Privacy for smart meters: Towards undetectable appliance load signatures. In: 2010 First IEEE International Conference on Smart Grid Communications (SmartGridComm), pp. 232–237. IEEE (2010)

    Google Scholar 

  15. Efthymiou, C., Kalogridis, G.: Smart grid privacy via anonymization of smart metering data. In: 2010 First IEEE International Conference on Smart Grid Communications (SmartGridComm), pp. 238–243. IEEE (2010)

    Google Scholar 

  16. Petrlic, R.: A privacy-preserving concept for smart grids. Sicherheit in vernetzten Systemen 18, B1–B14 (2010)

    Google Scholar 

  17. Rottondi, C., Verticale, G., Capone, A.: Privacy-preserving smart metering with multiple data consumers. Comput. Netw. 57(7), 1699–1713 (2013)

    Article  Google Scholar 

  18. Li, F., Luo, B., Liu, P.: Secure information aggregation for smart grids using homomorphic encryption. In: 2010 First IEEE International Conference on Smart Grid Communications (SmartGridComm), pp. 327–332 (2010)

    Google Scholar 

  19. Paillier, P.: Public-key cryptosystems based on composite degree residuosity classes. In: Stern, J. (ed.) EUROCRYPT 1999. LNCS, vol. 1592, pp. 223–238. Springer, Heidelberg (1999). https://doi.org/10.1007/3-540-48910-X_16

    Chapter  Google Scholar 

  20. Lin, H.-Y., Tzeng, W.-G., Shen, S.-T., Lin, B.-S.P.: A practical smart metering system supporting privacy preserving billing and load monitoring. In: Bao, F., Samarati, P., Zhou, J. (eds.) ACNS 2012. LNCS, vol. 7341, pp. 544–560. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-31284-7_32

    Chapter  Google Scholar 

Download references

Acknowledgements

The second author receives funding from the Ramón y Cajal research programme financed by the Ministerio de Economía y Competitividad. In addition, this work also has been partially supported by the same ministry through the research project PERSIST (TIN2013-41739-R), by the Andalusian government through the project FISSICO (P11-TIC-07223) and by the European Commission through the H2020 project NECS (H2020-MSCA-ITN-2015- 675320).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Juan E. Rubio .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Rubio, J.E., Alcaraz, C., Lopez, J. (2017). Selecting Privacy Solutions to Prioritise Control in Smart Metering Systems. In: Havarneanu, G., Setola, R., Nassopoulos, H., Wolthusen, S. (eds) Critical Information Infrastructures Security. CRITIS 2016. Lecture Notes in Computer Science(), vol 10242. Springer, Cham. https://doi.org/10.1007/978-3-319-71368-7_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-71368-7_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-71367-0

  • Online ISBN: 978-3-319-71368-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics