Abstract
The data aggregation is an essential requirement in the smart grid that is gradually replacing the traditional grid for its reliability, flexibility, efficiency and other excellent performance. The one-dimensional data aggregation schemes cannot meet the requirements of fine-grained analysis, while most multi-dimensional data aggregation schemes rely on a trusted third party (TTP). Besides, some multi-dimensional data aggregation schemes cannot resist the collusion attacks from some users, the aggregator and the control center. In order to satisfy the fine grained analysis of the electricity consumption data and resist the collusion attack, meanwhile alleviate the dependence on the TTP, we propose a multi-dimensional data aggregation scheme based on the EC-ElGamal cryptosystem and the super increasing sequences. The scheme can achieve fine-grained data analysis of multi-dimensional electricity data, and each entity generates its own keys without any TTP, which avoids users’ privacy leakage. Furthermore, our scheme can resist the replay attack and the collusion attack from some users, the control center and the aggregator. Security analysis shows that the proposed scheme can meet the security requirements of the smart grid and is more practical than the existing schemes.
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
Zhan, Y., Zhou, L., Wang, B., Duan, P., Zhang, B.: Efficient function queryable and privacy preserving data aggregation scheme in smart grid. IEEE Trans. Parallel Distrib. Syst. 33(12), 3430–3441 (2022)
Wu, L., Xu, M., Fu, S., Luo, Y., Wei, Y.: FPDA: fault-tolerant and privacy-enhanced data aggregation scheme in fog-assisted smart grid. IEEE Internet Things J. 9(7), 5254–5265 (2021)
Singh, P., Masud, M., Hossain, M.S., Kaur, A.: Blockchain and homomorphic encryption-based privacy-preserving data aggregation model in smart grid. Comput. Electr. Eng. 93, 107209 (2021)
Li, S., Xue, K., Yang, Q., Hong, P.: PPMA: privacy-preserving multisubset data aggregation in smart grid. IEEE Trans. Industr. Inf. 14(2), 462–471 (2017)
Zhang, W., Liu, S., Xia, Z.: A distributed privacy-preserving data aggregation scheme for smart grid with fine-grained access control. J. Inform. Secur. Appl. 66, 103118 (2022)
Lu, R., Liang, X., Li, X., Lin, X., Shen, X.: EPPA: an efficient and privacy-preserving aggregation scheme for secure smart grid communications. IEEE Trans. Parallel Distrib. Syst. 23(9), 1621–1631 (2012)
Lu, R., Alharbi, K., Lin, X., Huang, C.: A novel privacy-preserving set aggregation scheme for smart grid communications. In: 2015 IEEE Global Communications Conference (GLOBECOM), pp. 1–6 (2015)
Boudia, O.R.M., Senouci, S.M., Feham, M.: Elliptic curve-based secure multidimensional aggregation for smart grid communications. IEEE Sens. J. 17(23), 7750–7757 (2017)
Shen, H., Zhang, M., Shen, J.: Efficient privacy-preserving cube-data aggregation scheme for smart grids. IEEE Trans. Inf. Forensics Secur. 12(6), 1369–1381 (2017)
Anany, L.: Transform-and-conquer. Introduction to the Design and Analysis of Algorithms, 225–228(2002)
Chen, Y., Martínez-Ortega, J.F., Castillejo, P., López, L.: A homomorphic-based multiple data aggregation scheme for smart grid. IEEE Sens. J. 19(10), 3921–3929 (2019)
Zeng, Z., Wang, X., Liu, Y., Chang, L.: MSDA: multi-subset data aggregation scheme without trusted third party. Front. Comp. Sci. 16, 1–7 (2022)
Zuo, X., Li, L., Peng, H., Luo, S., Yang, Y.: Privacy-preserving multidimensional data aggregation scheme without trusted authority in smart grid. IEEE Syst. J. 15(1), 395–406 (2020)
Fan, C.I., Huang, S.Y., Lai, Y.L.: Privacy-enhanced data aggregation scheme against internal attackers in smart grid. IEEE Trans. Industr. Inf. 10(1), 666–675 (2013)
Bao, H., Lu, R.: Comment on privacy-enhanced data aggregation scheme against internal attackers in smart grid. IEEE Trans. Industr. Inf. 12(1), 2–5 (2015)
He, D., Kumar, N., Zeadally, S., Vinel, A., Yang, L.T.: Efficient and privacy-preserving data aggregation scheme for smart grid against internal adversaries. IEEE Trans. Smart Grid 8(5), 2411–2419 (2017)
Bao, H., Lu, R.: A new differentially private data aggregation with fault tolerance for smart grid communications. IEEE Internet Things J. 2(3), 248–258 (2015)
Ming, Y., Zhang, X., Shen, X.: Efficient privacy-preserving multi-dimensional data aggregation scheme in smart grid. IEEE Access 7, 32907–32921 (2019)
ElGamal, T.: A public key cryptosystem and a signature scheme based on discrete logarithms. IEEE Trans. Inf. Theory 31(4), 469–472 (1985)
Boneh, D., Goh, E.-J., Nissim, K.: Evaluating 2-DNF formulas on ciphertexts. In: Kilian, J. (ed.) TCC 2005. LNCS, vol. 3378, pp. 325–341. Springer, Heidelberg (2005). https://doi.org/10.1007/978-3-540-30576-7_18
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
De Caro, A., Iovino, V.: jPBC: Java pairing based cryptography. In: 2011 IEEE Symposium on Computers and Communications (ISCC), pp. 850–855. IEEE (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Yan, S., Sun, Y., Zhang, W., Liu, Y., Zhang, C., Wang, H. (2024). Multi-dimensional Data Aggregation Scheme without a Trusted Third Party in Smart Grid. In: Vaidya, J., Gabbouj, M., Li, J. (eds) Artificial Intelligence Security and Privacy. AIS&P 2023. Lecture Notes in Computer Science, vol 14510. Springer, Singapore. https://doi.org/10.1007/978-981-99-9788-6_7
Download citation
DOI: https://doi.org/10.1007/978-981-99-9788-6_7
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-9787-9
Online ISBN: 978-981-99-9788-6
eBook Packages: Computer ScienceComputer Science (R0)