Grouping-Based Aggregation Protocol with Error Tolerance for Privacy-Preservation in Smart Grid

Abstract

Smart grid, as the next generation of power grid characterized by “two-way” communication, has been paid great attention to realizing reliable and flexible electricity delivery for our future lives. In order to support the two-way communication in smart grid, a large number of smart meters (SMs) should be deployed for customers to report their real-time data to control center. However, this kind of real-time report would disclose users’ privacy, bring down the users’ willingness to participate in smart grid. In order to address this problem, in this paper, we propose a groupingbased aggregation protocol with error tolerance for privacy-preservation in smart grid (GBAP-ETPP), which employs the counting bloom filter to save storage space and improve the query efficiency. We also solve the false positive of bloom filter by choosing appropriate IDs in the system setup. In addition, we group users and all users in the same group share the same key. Thus, we can normally run our algorithm by substitution even there are some malfunctioning SMs. Detailed security analysis and theoretical proof show that our scheme can guarantee the security and privacy requirements of all the users in the smart grid.