ABSTRACT

Internet of Things (IoT) has been introduced into smart grids, which has achieved great improvement. The statistics of power consumption is one of the important functions but could lead to the leakage of user daily behaviour. Researchers have put efforts into secure data aggregation protocols to avoid such potential risk. However, only a few schemes have considered the dynamic unit price of electricity, and no schemes have been designed for calculating the power consumption of every appliance in a specific area. This paper proposes a novel appliance-based data aggregation scheme (ABDAS) for bill generation and demand management in smart grids. In the proposed scheme, chameleon hash function (CHF) is utilised to facilitate the extraction of aggregated data due to the characteristic of collision controllability. Furthermore, indistinguishability obfuscation (IO) is utilised to keep the chameleon hash value secret and decrease the overhead of the trusted third party. The fog nodes (FNs) in our scheme are responsible for the calculation of aggregation with its powerful computing and storage capabilities. The security analysis shows that our scheme satisfies IND-CPA and multiple security goals. Additionally, the performance evaluation indicates that the computational overhead of our scheme is lower than that of existing schemes.

摘要

物联网（IoT）已被引入智能电网，取得了很大的进步。功耗统计是重要的功能之一，但可能会导致用户日常行为的泄露。研究人员已努力研究安全的数据聚合协议，以避免此类潜在风险。但是，只有少数方案考虑了电力的动态单价，还没有设计用于计算特定区域内每个电器的功耗的方案。本文提出了一种新的基于设备的数据聚合方案 (ABDAS)，用于智能电网中的账单生成和需求管理。在所提出的方案中，由于碰撞可控性的特点，使用变色龙哈希函数（CHF）来促进聚合数据的提取。此外，不可区分性混淆 (IO) 用于保持变色龙哈希值的秘密并减少受信任第三方的开销。我们方案中的雾节点（FN）以其强大的计算和存储能力负责聚合的计算。安全分析表明，我们的方案满足 IND-CPA 和多个安全目标。此外，性能评估表明我们方案的计算开销低于现有方案。