Open Access

ARTICLE

SFSDA: Secure and Flexible Subset Data Aggregation with Fault Tolerance for Smart Grid

by Dong Chen¹, Tanping Zhou^1,2,3,*, Xu An Wang^1,2, Zichao Song¹, Yujie Ding¹, Xiaoyuan Yang^1,2

1 College of Cryptography Engineering, Engineering University of PAP, Xi’an, 710086, China
2 Key Laboratory of Network and Information Security under the PAP, Xi’an, 710086, China
3 Institute of Software Chinese Academy of Sciences, Beijing, 100080, China

* Corresponding Author: Tanping Zhou. Email:

Intelligent Automation & Soft Computing 2023, 37(2), 2477-2497. https://doi.org/10.32604/iasc.2023.039238

Received 17 January 2023; Accepted 11 April 2023; Issue published 21 June 2023

Abstract

Smart grid (SG) brings convenience to users while facing great challenges in protecting personal private data. Data aggregation plays a key role in protecting personal privacy by aggregating all personal data into a single value, preventing the leakage of personal data while ensuring its availability. Recently, a flexible subset data aggregation (FSDA) scheme based on the Paillier homomorphic encryption was first proposed by Zhang et al. Their scheme can dynamically adjust the size of each subset and obtain the aggregated data in the corresponding subset. In this paper, firstly, an efficient attack with both theorems proving and experimentative verification is launched. We find that in a specific scenario where the encrypted data constructed by a smart meter (SM) exceeds the size of one Paillier ciphertext, the malicious fog node (FN) may use the received ciphertext to obtain the reading of the SM. Secondly, to avoid the possibility of privacy disclosure under certain circumstances, additional hash functions are added to the individual encryption process. In addition, fault tolerance is very important to aggregation schemes in practical scenarios. In most of the current schemes, once some SMs failed, then they will not work. As far as we know, there is no multi-subset aggregation scheme both supports flexible subset data aggregation and fault tolerance. Finally, we construct the first secure flexible subset data aggregation (SFSDA) scheme with fault tolerance by combining the fault tolerance method with the flexible multi-subset aggregation, where FN enables the control server (CS) to finally decrypt the aggregated ciphertext by recovering equivalent ciphertexts when some SMs fail to submit their ciphertexts. Experiments show that our SFSDA scheme keeps the efficiency in implementing a flexible multi-subset aggregation function, and only has a small delay in implementing fault-tolerant data aggregation.

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Keywords

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