A Multidimensional Data Aggregation Scheme with Anonymous and Demand-Response Billing

With the rapid development of smart grid technology, data acquisition and analysis of power system become increasingly complex. Processing these huge data usually requires data aggregation. However, most multidimensional data aggregation schemes cannot realize both billing and fault tolerance. In the process of two-way communication, the user’s privacy is exposed to the risk, so it is necessary to encrypt the data. Through in-depth analysis of privacy challenges and security requirements in smart grid systems, this paper proposes a multi-dimensional data aggregation scheme (MDDA-DR) with bidirectional communication, billing demand response and user anonymity in smart grid. MDDA-DR focuses on the protection of user privacy in two-way communication. Users participate in real-time communication by using a pseudonym generated by the Electricity Billing Department (MS) to ensure that the user’s real identity is not obtained by third parties. In the peak time, the user can adjust the power consumption strategy according to the demand response signal. In addition, the scheme can not only realize the function of accounting and fault tolerance, but also resist the collusive attack between any two entities, and protect user data privacy even in the face of malicious KGC. Through detailed analysis, the security of the proposed scheme under the defined security model is demonstrated. The communication cost of the scheme is analyzed theoretically, and the calculation cost is evaluated by simulation. MDDA-DR has high efficiency under the premise of protecting user privacy.