Lightweight Fault-Tolerant Multidimensional Encrypted Data Aggregation Scheme in Smart Grids

Multi-dimensional encrypted data aggregation enables smart meters to transmit multi-source local electricity consumption data by encrypting and packaging data, ensuing users’ privacy and flexible power resource scheduling. This paper presents a lightweight fault tolerant multi-dimensional encrypted data aggregation scheme in fog computing-assisted smart grids, called FT-MEDA. To ensure transmitted electricity consumption data confidentiality, smart meters package multi-dimensional data by utilizing Chinese Remainder Theorem, and encrypt them under the modified symmetric homomorphic encryption. In addition, a key negotiation mechanism is devised to avoid the dependency on third-party trusted parties for important parameters allocation. Even if some smart meters within the negotiation group are compromised, the privacy of normal smart meters retains protected. In FT-MEDA, fog nodes (FN) deployed in smart grids, execute edge computing on integrity verification and generating aggregated encrypted data reports which will be sent to the control center (CC) for data anslysis. Security analysis indicates that FT-MEDA not only satisfies basic security requirements (e.g., confidentiality, integrity), but also resists collusion attacks and key leakage. Performance evaluation demonstrates that FT-MEDA has lightweight performance advantages in practical deployment of smart grids.