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

机译:智能电网中有损和无损数据聚合的高效安全方案

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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,该方案同时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实体,称为网关,它们充当用户和控制中心之间的中介。在每个测量间隔的末尾,每个用户都会生成一个报告,该报告使用Paillier密码系统进行加密,并包含该用户在先前测量间隔期间的消费量以及他或她在未来另一个间隔中的消费预测。网关在收到用户的报告后,会对加密的报告执行有损和无损聚合,而不会知道其内容。在有损聚合模式下,由于Paillier密码系统的同态特性,网关可以生成用户预测的聚合数据,以帮助控制中心估算电网的未来用电量。在无损聚合模式下,网关向控制中心提供用户的帐单信息。此外,为了鼓励用户更精确地预测其未来的用电量,该方案使用特殊的计费策略,其中用户的预测准确性会影响其总电费。

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