A novel Approach for Privacy-Preserving Data Aggregation in Smart Grid

Over the last few years, the rapid development of smart grids and the deployment of smart metering infrastructures on a much larger scale have raised a crucial privacy concern related to the collection of real-time energy consumption data. For these purpose, data aggregation is a widely used technique for privacy preservation. Securing the data aggregation process is a challenge since smart grids are susceptible to many cyber security threats and attacks. Therefore, several approaches have been proposed to address this issue. However, many of them are vulnerable to various types of attacks and suffer from high communication and computation costs in addition to the use of complex key management schemes. To overcome this problem, we propose a secure and privacy-preserving data aggregation scheme based on homomorphic encryption. In this solution, we take advantage of the opportunities offered by ECEL-Gamal and its homomorphic property as well as the ECDSA and ECDHE algorithms to use them in order to aggregate privacy-preserving data. Through detailed analyses, we show that our proposed scheme can meet various security requirements and preserves user privacy. In addition, experiment results demonstrate that our scheme is more efficient than existing competing approaches in terms of communication and computation overhead.