Certificateless privacy-preserving multidimensional data aggregation scheme with fault-tolerance for fog-based smart grids

In fog-based smart grids, smart meters collect users’ electricity data in real time and transmit it to fog node (FN) for aggregation. Then FN sends the aggregated data to control center for in-depth analysis. Throughout this process, data privacy preservation must be implemented, for which privacy-preserving data aggregation (PPDA) serves as a viable solution. However, most existing PPDA schemes do not support multidimensional data aggregation and fault-tolerance(i.e. scheme can still achieve data aggregation even when some devices malfunction), and these schemes are vulnerable to collusion attacks and have high computational and communicational overheads. To address these issues, this paper proposes a certificateless privacy-preserving multidimensional data aggregation scheme with fault-tolerance. The scheme first employs Chinese Remainder Theorem to integrate multidimensional data into a single data, followed by data obfuscation using the updated blind factors, and subsequently encrypts the data via the Paillier homomorphic encryption. Security analysis indicates that the scheme achieves data confidentiality and authenticity while resisting collusion attacks. Performance comparisons indicate its advantages in both communicational and computational overheads.