Abstract
Due to the advancements in digital information and information technology, the automated meter reading has been replaced with advanced metering infrastructure which is based on smart metering. Smart metering enables the collection of fine-grained meter readings, which allows several features such as real time monitoring of electricity consumption, dynamic pricing and time-of-use billing. However, those fine-grained consumption measurements raise serious privacy concerns by inferring the consumers’ personal habits and behaviors. In this paper, we propose an efficient privacy-preserving time-of-use billing protocol for smart metering. Our proposed solution uses the homomorphic property of the elliptic curve Pedersen commitment to perform the billing process without revealing the consumption readings to the utility provider. Security and performance analysis show that our suggested approach offers better privacy protection in comparison with existing solutions, in addition to providing efficient computational cost.
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References
Saleem, Y., Crespi, N., Rehmani, M.H., Copeland, R.: Internet of things-aided smart grid: technologies, architectures, applications, prototypes, and future research directions. IEEE Access 7, 62962–63003 (2019)
Asghar, M.R., Dán, G., Miorandi, D., Chlamtac, I.: Smart meter data privacy: a survey. IEEE Commun. Surv. Tuts. 19(4), 2820–2835 (2017)
Papakonstantinou, V., Kloza, D.: Legal protection of personal data in smart grid and smart metering systems from the European perspective. In: Smart grid security, pp. 41–129. Springer, London (2015)
Mylrea, M.: Smart energy-internet-of-things opportunities require smart treatment of legal, privacy and cyber security challenges. J. World Energy Law Bus. 10(2), 147–158 (2017)
Romdhane, R.B., Hammami, H., Hamdi, M., Kim, T.H.: At the cross roads of lattice-based and homomorphic encryption to secure data aggregation in smart grid. In: 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), pp. 1067–1072. IEEE (2019)
Romdhane, R.B., Hammami, H., Hamdi, M., Kim, T.H.: A novel approach for privacy-preserving data aggregation in smart grid. In: 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), pp. 1060–1066. IEEE (2019)
Ford, V., Siraj, A., Rahman, M.A.: Secure and efficient protection of consumer privacy in advanced metering infrastructure supporting fine-grained data analysis. J. Comput. Syst. Sci. 83(1), 84–100 (2017)
Bohli, J.M., Sorge, C., Ugus, O.: A privacy model for smart metering. In: 2010 IEEE International Conference on Communications Workshops, pp. 1–5. IEEE (2010)
Zhao, J., Liu, J., Qin, Z., Ren, K.: Privacy protection scheme based on remote anonymous attestation for trusted smart meters. IEEE Trans. Smart Grid 9(4), 3313–3320 (2016)
Eccles, T., Halak, B.: A secure and private billing protocol for smart metering. IACR Cryptol. ePrint Arch. 2017, 654 (2017)
Danezis, G., Kohlweiss, M., Rial, A.: Differentially private billing with rebates. In: International Workshop on Information Hiding, pp. 148–162. Springer, Berlin, Heidelberg (2011)
Backes, M., Meiser, S.: Differentially private smart metering with battery recharging. In: Data Privacy Management and Autonomous Spontaneous Security, pp. 194–212. Springer, Berlin, Heidelberg (2013)
McLaughlin, S., McDaniel, P., Aiello, W.: Protecting consumer privacy from electric load monitoring. In: Proceedings of the 18th ACM Conference on Computer and Communications Security, pp. 87–98 (2011)
Yang, W., Li, N., Qi, Y., Qardaji, W., McLaughlin, S., McDaniel, P.: Minimizing private data disclosures in the smart grid. In: Proceedings of the 2012 ACM Conference on Computer and Communications Security, pp. 415–427 (2012)
Abidin, A., Aly, A., Cleemput, S., Mustafa, M.A.: Secure and privacy-friendly local electricity trading and billing in smart grid. arXiv preprint arXiv:1801.08354 (2018)
Wang, X.F., Mu, Y., Chen, R.M.: An efficient privacy-preserving aggregation and billing protocol for smart grid. Secur. Commun. Netw. 9(17), 4536–4547 (2016)
Gope, P., Sikdar, B.: A lightweight and privacy-preserving data aggregation for dynamic pricing-based billing in smart grids. In: 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), pp. 1–7. IEEE (2018)
Rial, A., Danezis, G.: Privacy-preserving smart metering. In: Proceedings of the 10th Annual ACM Workshop on Privacy in the Electronic Society, pp. 49–60 (2011)
Jawurek, M., Johns, M., Kerschbaum, F.: Plug-in privacy for smart metering billing. In: International Symposium on Privacy Enhancing Technologies Symposium, pp. 192–210. Springer, Berlin, Heidelberg (2011)
Eccles, T., Halak, B.: Performance analysis of secure and private billing protocols for smart metering. Cryptography 1(3), 20 (2017)
França, B.F.: Homomorphic Mini-Blockchain Scheme (2015)
Pedersen, T.P.: Non-interactive and information-theoretic secure verifiable secret sharing. In: Annual International Cryptology Conference, pp. 129–140. Springer, Berlin, Heidelberg (1991)
Moreno, C., Fischmeister, S.: Accurate measurement of small execution times—getting around measurement errors. IEEE Embed. Syst. Lett. 9(1), 17–20 (2017)
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Ben Romdhane, R., Hammami, H., Hamdi, M., Kim, TH. (2021). An Efficient and Privacy-Preserving Billing Protocol for Smart Metering. In: Barolli, L., Woungang, I., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2021. Lecture Notes in Networks and Systems, vol 226. Springer, Cham. https://doi.org/10.1007/978-3-030-75075-6_57
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