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Privacy-Enhanced Data Aggregation Scheme Against Internal Attackers in Smart Grid

机译：智能电网中针对内部攻击者的隐私增强数据聚合方案

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摘要

According to related research, energy consumption can be effectively reduced by using energy management information of smart grids. In smart grid architecture, electricity suppliers can monitor, predicate, and control energy generation/consumption in real time. Users can know the current price of electrical energy and obtain energy management information from smart meters. It helps users reduce home's energy use. However, electricity consumptions of users may divulge the privacy information of users. Therefore, privacy of users and communication security of the smart grid become crucial security issues. This paper presents a secure power-usage data aggregation scheme for smart grid. Electricity suppliers can learn about the current power usage of each neighborhood to arrange energy supply and distribution without knowing the individual electricity consumption of each user. This is the first scheme against internal attackers, and it provides secure batch verification. Additionally, the security of the proposed scheme is demonstrated by formal proofs.
机译：根据相关研究，通过使用智能电网的能源管理信息可以有效降低能耗。在智能电网架构中，电力供应商可以实时监控，预测和控制能源的产生/消耗。用户可以了解当前的电能价格，并从智能电表中获取能源管理信息。它可以帮助用户减少家庭的能源消耗。但是，用户的电力消耗可能泄露用户的隐私信息。因此，用户的隐私和智能电网的通信安全性成为至关重要的安全性问题。本文提出了一种智能电网的安全用电数据聚合方案。电力供应商可以了解每个社区的当前用电量，以安排能源供应和分配，而无需了解每个用户的个人用电量。这是针对内部攻击者的第一个方案，它提供了安全的批量验证。另外，通过形式证明证明了所提出方案的安全性。

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