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An Efficient Secure Scheme for Lossy and Lossless Data Aggregation in Smart Grid

机译:智能电网中有损耗和无损数据聚集的有效安全方案

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In this paper, we propose an efficient secure data aggregation scheme for the smart grid, which supports both lossy and lossless data aggregation. In order to reduce the computational overhead of the control center, our proposed model includes a number of entities, called gateways, which act as intermediaries between the users and the control center. At the end of each measurement interval, each user generates a report which is encrypted using the Paillier cryptosystem and contains the user's consumption amount during the previous measurement interval as well as his or her prediction of consumption during another interval in the future. After receiving the user's reports, gateways perform both lossy and lossless aggregation on the encrypted reports without being aware of their contents. In lossy aggregation mode, thanks to the homomorphic property of Paillier cryptosystem, the gateways generate the aggregated data of users' predictions in order to help the control center to estimate the future electricity usage of the grid. In the lossless aggregation mode, gateways provide the control center with the users' billing information. Moreover, to encourage the users to predict their future consumption amounts more precisely, this scheme uses special billing policies in which the accuracy of users' predictions can affect their total electricity costs.
机译:在本文中,我们为智能电网提出了一种有效的安全数据聚合方案,它支持有损和无损数据聚合。为了减少控制中心的计算开销,我们提出的模型包括许多称为网关的实体,该网关充当用户和控制中心之间的中间商。在每个测量间隔的末尾,每个用户生成使用Paillier密码系统加密的报告,并在以前的测量间隔内包含用户的消费量以及在未来的另一个间隔内的消费预测。收到用户的报告后,网关在加密的报告上执行有损和无损聚合,而不知道其内容。在有损聚合模式中,由于Paillier密码系统的同性恋性,网关产生用户预测的聚合数据,以帮助控制中心估计网格的未来电力使用。在无损聚合模式中,网关向控制中心提供用户的计费信息。此外,为了鼓励用户更准确地预测其未来的消费量,该方案使用用户预测的准确性可能影响其总电力成本的特殊结算策略。

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