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Intelligence is one of the most important aspects in the development of ourfuture communities. Ranging from smart home, smart building, to smart city, allthese smart infrastructures must be supported by intelligent power supply.Smart grid is proposed to solve all challenges of future electricity supply. Insmart grid, in order to realize optimal scheduling, a Smart Meter (SM) isinstalled at each home to collect the near real-time electricity consumptiondata, which can be used by the utilities to offer better smart home services.However, the near real-time data may disclose user's privacy. An adversary maytrack the application usage patterns by analyzing the user's electricityconsumption profile. In this paper, we propose a privacy-preserving andefficient data aggregation scheme. We divide users into different groups andeach group has a private blockchain to record its members' data. To preservethe inner privacy within a group, we use pseudonym to hide user's identity, andeach user may create multiple pseudonyms and associate his/her data withdifferent pseudonyms. In addition, the bloom filter is adopted for fastauthentication. The analysis shows that the proposed scheme can meet thesecurity requirements, and achieve a better performance than other popularmethods.

Privacy-preserving and Efficient Aggregation based on Blockchain for Power Grid Communications in Smart Communities