A Privacy-Preserving Scheme to Support Dual-agent Selection in Smart Grid

With the rapid development of IoT technology, smart grid, as one of its core applications, is gradually realising the intelligent management of the power system. The popularity of smart meters and other devices enables the grid to monitor power consumption in real time, providing a large amount of data support for grid operations. However, the privacy sensitivity of these data is extremely high, and how to effectively protect user privacy has become an important challenge for the development of smart grid. To address this problem, this paper proposes a privacy-preserving data aggregation scheme based on proxy reencryption, which aims to ensure the privacy and security of user data without sacrificing data utility. The secure collection and processing of data is achieved by constructing a multi-layer system model containing a trusted centre, a control centre, a fog node and a smart meter. It enables the data to complete aggregation and conversion in an encrypted state, effectively preventing unauthorised access and data leakage. At the same time, the solution supports bidirectional selective aggregation, allowing the system to flexibly perform data aggregation operations according to demand, improving system applicability and efficiency. Security analysis and performance evaluation show that the scheme proposed in this paper is effective in protecting user privacy and system security.