Abstract
As a next-generation power system, the smart grid can implement fine-grained smart metering data collection to optimize energy utilization. In recent years, a large number of privacy-preservation data aggregation schemes have been proposed for smart grid, which relies on trusted third party (TTP) or central authority (CA). If the TTP or CA fails, these schemes become insecure. Therefore, this paper proposes a smart grid data aggregation scheme based on blockchain, which does not rely on TTP or CA and achieves decentralization. In this scheme, the leader election algorithm is used to select a smart meter in the residential area as a mining node to build a block. The node adopts Paillier cryptosystem algorithm to aggregate the user’s electricity consumption data. The confidentiality and integrity of user data are guaranteed, which is convenient for billing and power regulation. Security analysis shows that our scheme meets the security and privacy requirements of smart grid data aggregation. The experimental results show that this scheme is more efficient than existing competing schemes in terms of computation and communication overhead.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Fang, X., Misra, S., Xue, G., Yang, D.: Smart grid-the new and improved power grid: a survey. IEEE Commun. Surv. Tutor. 14(4), 944–980 (2011)
Xue, K.P., Li, S.H., Hong, J.N., et al.: Two-cloud secure database for numeric-related SQL range queries with privacy preserving. IEEE Trans. Inf. Foren. Secur. 12, 1596–1608 (2017)
Wu, J., Dong, M.X., Ota, K., et al.: Securing distributed storage for social internet of things using regenerating code and blom key agreement. Peer-to-Peer Netw. Appl. 8, 1133–1142 (2015)
Guan, Z., Si, G., Du, X., Liu, P.: Protecting User Privacy Based on Secret Sharing with Error Tolerance for Big Data in Smart Grid. arXiv preprint arXiv:1811.06918 (2018)
Chen, J., Liu, G., Liu, Y.: Lightweight privacy-preserving raw data publishing scheme. IEEE Trans. Emerg. Top. Comput. (2020). https://doi.org/10.1109/tetc.2020.2974183
Liu, Y., Zhao, Q.: E-voting scheme using secret sharing and K-anonymity. World Wide Web: Internet Web Inf. Syst. 22(4), 1657–1667 (2019)
Hassan, M.U., Rehmani, M.H., Kotagiri, R., Zhang, J., Chen, J.: Differential privacy for renewable energy resources based smart metering. J. Parallel Distrib. Comput. 131, 69–80 (2019)
Piao, C., Shi, Y., Yan, J., Zhang, C., Liu, L.: Privacy-preserving governmental data publishing: a fog-computing-based differential privacy approach. Future Gener. Comput. Syst. 90, 158–174 (2019)
Li, S., Xue, K., Yang, Q., Hong, P.: PPMA: privacy-preserving multisubset data aggregation in smart grid. IEEE Trans. Industr. Inf. 14, 462–471 (2018)
Liu, Y., Guo, W., Fan, C., Chang, L., Cheng, C.: A practical privacy-preserving data aggregation (3PDA) scheme for smart grid. IEEE Trans. Industr. Inf. 15(3), 1767–1774 (2018)
Guan, Z., Zhang, Y., Zhu, L., et al.: EFFECT: an efficient flexible privacy-preserving data aggregation scheme with authentication in smart grid. Sci. China Inf. Sci. 62(3), 32103 (2019)
Karampour, A., Ashouri-Talouki, M., Ladani, B.T.: An efficient privacy-preserving data aggregation scheme in smart grid. In: 2019 27th Iranian Conference on Electrical Engineering (ICEE), pp. 1967–1971. IEEE (2019)
Chen, Y., MartÃnez, J.F., Castillejo, P., López, L.: A privacy-preserving noise addition data aggregation scheme for smart grid. Energies 11(11), 2972 (2018)
Guan, Z., Zhang, Y., Wu, L., et al.: Appa: an anonymous and privacy preserving data aggregation scheme for fog-enhanced IoT. J. Netw. Comput. 125, 82–92 (2019)
Song, J., Liu, Y., Shao, J., Tang, C.: A dynamic membership data aggregation (DMDA) protocol for smart grid. IEEE Syst. J. 14(1), 900–908 (2020)
Okay, F.Y., Ozdemir, S., Xiao, Y.: Fog computing-based privacy preserving data aggregation protocols. Trans. Emerg. Telecommun. Technol. 31(4), e3900 (2020)
Guan, Z.T., et al.: Privacy-preserving and efficient aggregation based on blockchain for power grid communications in smart communities. IEEE Commun. Mag. 56(7), 82–88 (2018)
Nakamoto, S.: Bitcoin: a peer-to-peer electronic cash system. Consulted (2008)
Crosby, M., Pattanayak, P., Verma, S., Kalyanaraman, V.: Blockchain technology: beyond bitcoin. Appl. Innov. 2(6–10), 71 (2016)
Yuan, Y., Wang, F.-Y.: Parallel blockchain: concept, methods and issues. Acta Autom. Sinica 43(10), 1703–1712 (2017)
Xie, Q.H.: Research on blockchain technology and financial business innovation. Financ. Dev. Res. 5, 77–82 (2017)
Boneh, D., Lynn, B., Shacham, H.: Short signatures from the weil pairing. In: Boyd, C. (ed.) ASIACRYPT 2001. LNCS, vol. 2248, pp. 514–532. Springer, Heidelberg (2001). https://doi.org/10.1007/3-540-45682-1_30
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
Shi, E., Chan, H.T.H., Rieffel, E., Chow, R., Song, D.: Privacy-preserving aggregation of time-series data. In: Annual Network & Distributed System Security Symposium (NDSS), vol. 2, pp. 1–17 (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Fan, H., Liu, Y., Zeng, Z. (2020). Decentralizing Privacy-Preserving Data Aggregation Scheme Using Blockchain in Smart Grid. In: Yu, S., Mueller, P., Qian, J. (eds) Security and Privacy in Digital Economy. SPDE 2020. Communications in Computer and Information Science, vol 1268. Springer, Singapore. https://doi.org/10.1007/978-981-15-9129-7_10
Download citation
DOI: https://doi.org/10.1007/978-981-15-9129-7_10
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-9128-0
Online ISBN: 978-981-15-9129-7
eBook Packages: Computer ScienceComputer Science (R0)