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DPIP: A Demand Response Privacy Preserving Interaction Protocol

For Trusted Third Party Involvement

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Business Information Systems Workshops (BIS 2015)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 228))

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Abstract

We propose a demand response privacy preserving interaction and intermediary protocol design (DPIP) using a trusted third party design to facilitate the collection of Smart Metering data and to perform Demand Response while preserving the privacy of residential customers in the Smart Grid. DPIP relies on intermediaries hiding customer program participation from Demand Response Aggregators (DRA) and thus enhance their anonymity and it provides individualized privacy preserved billing. This is the first of a series of papers. Its focus is the protocol, while following work discusses the role of differential privacy. Keywords: Smart Grid Management, Privacy, Privacy Enhancing Technologies.

The research leading to these results has received funding from the European Union’s Seventh Framework Programme (FP7-SMARTCITIES-2013) under grant agreement no 608712.

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References

  1. Arshad, N., Dahlquist, E., Javed, F., Vassileva, I., Wallin, F.: Forecasting for demand response in smart grids: an analysis on use of anthropologic and structural data and short term multiple loads forecasting. Appl. Energy 96, 150–160 (2012)

    Article  Google Scholar 

  2. Avellana, N.: iURBAN Intelligent URBAN Energy Tool. FP7-SMARTCITIES-2013-608712 (2014). http://www.iurban-project.eu/about-the-project-en/related-projects.html Called 30 October 2014

  3. Baligh, H.H., Richartz, L.E.: An analysis of vertical market structures. Manage. Sci. 10(4), 667–689 (1964)

    Article  Google Scholar 

  4. Bieser, G., Strüker, J., Weppner, H.: Intermediaries for the internet of energy - exchanging smart meter data as a business model. In: ECIS 2011 (2011)

    Google Scholar 

  5. Blaze, M., Bleumer, G., Strauss, M.J.: Divertible protocols and atomic proxy cryptography. In: Nyberg, K. (ed.) EUROCRYPT 1998. LNCS, vol. 1403, pp. 127–144. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  6. Brown, I., Martin, A., Paverd, A.: Security and privacy in smart grid demand response systems. In: Second Internaional Workshop, SmartGridSec2014, Munich Germany (2014)

    Google Scholar 

  7. Protection Profile for the Gateway of a Smart Metering System (Smart Meter Gateway PP) Common Criteria, SMGW-PP, Version 1.3, 31 March 2014

    Google Scholar 

  8. Cecchet, E., Fu, K., Irwin, D., Molina-Markham, A., Shenoy, P.: Private memoirs of a smart meter. In: BuildSys@SenSys 2010 (2010)

    Google Scholar 

  9. Dwork, C.: Differential privacy. In: Bugliesi, M., Preneel, B., Sassone, V., Wegener, I. (eds.) ICALP 2006. LNCS, vol. 4052, pp. 1–12. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  10. Dwork, C., Smith, A.: Differential privacy for statistics: what we know and what we want to learn. J. Privacy Confidentiality 1, 135–154 (2009)

    Google Scholar 

  11. Eibl, G., Engel, D.: Influence of data granularity on nonintrusive appliance load monitoring. In: 2nd ACM Workshop on Information Hiding and Multimedia Security (2014)

    Google Scholar 

  12. Erkin, Z., Troncoso-Pastoriza, J.R., Lagendijk, R.L., Pérez-González, F.: Privacy-preserving data aggregation in smart metering systems. IEEE Sig. Process. Mag. 30, 75–86 (2013)

    Article  Google Scholar 

  13. Jawurek, M., Johns, M., Rieck, K.: Smart metering de-pseudonymization. In: ACSAC (2011)

    Google Scholar 

  14. 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)

    Chapter  Google Scholar 

  15. Jawurek, M., Kerschbaum, F., Orlandi, C.: Zero-knowledge using garbled circuits: how to prove non-algebraic statements efficiently. In: ACM Conference on Computer and Communications Security 2013 (2013)

    Google Scholar 

  16. Jeske, T.: Privacy-preserving smart metering without a trusted-third-party. In: SECRYPT 2011 (2011)

    Google Scholar 

  17. Karwe, M, Strüker, J.: Privacy in residential demand side management applications. In: Smart Grid Security: Second Internaional Workshop, SmartGridSec2014, Munich Germany (2014)

    Google Scholar 

  18. Kerschbaum, F., Strüker, J.: From a barrier to a bride: data-privacy in deregulated smart grids. In: Thirty Third International Journal Conference on Information Systems, Orlando USA (2012)

    Google Scholar 

  19. Li, H., Lin, X., Yang, H., Liang, X., Lu, R., Shen, X.: EPPDR: an efficient privacy-preserving demand response scheme with adaptive key evolution in smart grid. IEEE Trans. Parallel Distrib. Syst. 25, 2053–2064 (2014)

    Article  Google Scholar 

  20. McKenna, E., Richardson, I., Thomson, M.: Smart meter data: balancing consumer privacy with legitimate applications. Energy Policy 41, 807–814 (2012)

    Article  Google Scholar 

  21. 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)

    Chapter  Google Scholar 

  22. Pretschner, A., Schaefer, C.: Mechanisms for usage control. In: ASIACCS (2008)

    Google Scholar 

  23. Skopik, F.: Security is not enough! on privacy challenges in smart grids. Int. J. Smart Grid Clean Energy 1, 7–14 (2012)

    Article  Google Scholar 

  24. Sweeny, L.: k-Anonymity: a model for protecting privacy. Int. J. Uncertainty Fuzziness Knowl. Based Syst. 10, 557–570 (2002)

    Article  Google Scholar 

  25. Westin, A.: Privacy and Freedom. Atheneum, New York (1967)

    Google Scholar 

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Correspondence to Markus Karwe .

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Karwe, M., Müller, G. (2015). DPIP: A Demand Response Privacy Preserving Interaction Protocol. In: Abramowicz, W. (eds) Business Information Systems Workshops. BIS 2015. Lecture Notes in Business Information Processing, vol 228. Springer, Cham. https://doi.org/10.1007/978-3-319-26762-3_20

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  • DOI: https://doi.org/10.1007/978-3-319-26762-3_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26761-6

  • Online ISBN: 978-3-319-26762-3

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