Personalized Privacy Protection and Security Aggregation Technology for Smart Grid.
International Conference on Artificial Intelligence, Systems and Network Security(2023)
Abstract
Smart grid is a new type of power system that integrates traditional power grid and information network, and is an essential key infrastructure. However, due to the wide coverage of smart grids, there is a risk of privacy leakage or malicious tampering when smart meters transmit user electricity information upwards. This article proposes a secure aggregation scheme that supports personalized privacy parameters for users and prevents tampering. The smart meter adopts a personalized local differential privacy algorithm to perturb and desensitize the user's electricity consumption, and then uses digital signature technology based on elliptic curve cryptography for signature. Then, the superior node of the smart meter can execute a weighted aggregation algorithm to obtain aggregated electricity data. The proposed scheme in this article has the characteristics of small computational complexity and flexibility. After theoretical analysis and experimental verification, this scheme can meet security requirements. Compared with existing schemes, it can obtain more accurate aggregation results and has practical application value.
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