Smart grid is a network of computers and power infrastructures that monitor and control energy usage by collecting data from\r\nthe power grid. It can gather and distribute information about the behavior of all consumers in order to improve the efficiency,\r\nreliability, economics, safety, and sustainability of electricity services. In this paper, we propose a self-certi??ed P??C-based privacypreserving\r\ndata aggregation scheme in smart grid to increase computation efficiency and achieve privacy protection of end users.\r\nTo realize the anonymous aggregation of multidimensional data, we adopt the Chinese Remainder ?eorem and homomorphic\r\nproperty of Paillier cryptosystem to achieve it. Comparing our scheme with Lu et al.�s scheme, the result shows that our scheme has\r\nmore advantages over Lu et al.�s scheme in terms of computational costs of the user, GW, and OA. A??er adopting batch veri??cation\r\ntechnique, the computational cost of GW is constant in our scheme, however, that of GW is linear with the number of the users in\r\nLu et al.�s scheme. Furthermore, our scheme also supports the anonymity of the user�s identity. It indicates that the local gateway\r\nGW does not know the real identity of the resident user such that the privacy of the user is better protected.
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