Privacy-preserving data aggregation has been extensively studied in smart grid. However, almost all existing schemes aggregate the total electricity consumption data of the whole user set, which sometimes cannot meet the fine-grained demands from control center in smart grid. In this paper, we propose a privacy-preserving multisubset data aggregation scheme, named PPMA, in smart grid. PPMA can aggregate users' electricity consumption data of different ranges, while guaranteeing the privacy of individual users. Detailed security analysis shows that PPMA can protect individual user's electricity consumption privacy against a strong adversary. In addition, extensive experiments results demonstrate that PPMA has less computation overhead and no more extra communication and storage costs.

中文翻译：

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PPMA：智能电网中保护隐私的多子集数据聚合


隐私保护数据聚合在智能电网中得到了广泛的研究。然而，现有方案几乎都是汇总整个用户组的总用电量数据，有时无法满足智能电网控制中心的细粒度需求。在本文中，我们提出了一种智能电网中保护隐私的多子集数据聚合方案，称为 PPMA。 PPMA可以聚合不同范围的用户用电数据，同时保证个人用户的隐私。详细的安全分析表明，PPMA可以保护个人用户的用电隐私，抵御强大的对手。此外，大量的实验结果表明，PPMA 具有更少的计算开销，并且不再有额外的通信和存储成本。