Abstract
As the traditional grid produces a large amount of greenhouse gas and cannot adapt to such new demands as dynamic electricity prices, data analysis, and early warning, smart grid with high efficiency and reliability is increasingly valued. It plays a key role in achieving carbon neutrality. Nonetheless, smart grid requires the collection of real-time power data, and personal privacy may be leaked through the frequent electricity measurement reports. With the requirements of data analysis and prediction while preserving users’ personal privacy, data aggregation schemes have emerged. However, existing schemes cannot resolve all the troubles well. Some schemes do not consider the failures for smart meters, and most of the schemes have expensive computation cost. In view of this, an efficient privacy-preserving data aggregation scheme with fault tolerance in smart grid is put forward in this paper. To be specific, the proposed scheme is lightweight due to the application of the symmetric homomorphic encryption technology and the elliptic curve cryptography. Even if some smart meters are destroyed, the proposed scheme can still successfully obtain aggregated data. Moreover, the proposed data aggregation scheme is proved to be secure, and all security requirements can be satisfied. Performance evaluation illustrates the relatively low computation cost and communication overhead of the proposed scheme compared to other related schemes.
Highlights
In recent years, the negative effects of global warming have become increasingly significant, as can be observed from the rising sea levels and the destruction of biodiversity
All countries are looking for ways to achieve carbon neutrality [1]. e application of smart grid (SG) can effectively accelerate the realization of this goal, and SG is included in long-term development plans [2,3,4,5,6]
Two preknowledge are briefly stated including elliptic curve cryptography and symmetric homomorphic encryption
Summary
The negative effects of global warming have become increasingly significant, as can be observed from the rising sea levels and the destruction of biodiversity. For the information communication in SG, a large number of sensors are employed, especially smart meters (SM), which need to collect real-time household power measurement data every 10–15 minutes and send them to the control center (CC) for electricity data analysis and dispatch [11]. (i) e proposed scheme applies lightweight symmetric homomorphic encryption technology and elliptic curve signature to accomplish efficiency, instead of commonly used time-consuming public key homomorphic encryption technologies such as Paillier [38] and BGN [39] It is characterized by the feature of fault tolerance, being able to run normally even if some SM fail to upload data reports.
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