Abstract
Smart meters in the generate a large amount of power data. However, data privacy in the process of calculation, storage, and transmission is an urgent problem to be solved. Therefore, in this paper we propose a power resource dispatching framework (PRDF) with a privacy protection function, which uses a scheme based on . Using pseudonyms and aggregating users’ power data, PRDF not only protects users’ privacy, but also reduces the computing cost and communication overhead under traditional cloud computing. In addition, if the control center finds that a user has submitted abnormal data, it can send a request to the user management center to track the real identity of the user. Our scheme satisfies security requirements based on the , including confidentiality and unforgeability. Furthermore, we compare our scheme with other schemes by simulations. Simulation results show that compared with traditional methods, our method performs better in terms of the computation cost.
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