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On preserving user privacy in Smart Grid advanced metering infrastructure applications

机译:关于在智能电网高级计量基础架构应用程序中保护用户隐私

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Advanced metering infrastructure (AMI) enables real-time collection of power consumption data through the Smart Grid communication network. With the current deployment of smart meters (SMs), one of the concerns that started to be raised by the customers is on the privacy of their power consumption data. The exposure of these data can lead to several privacy problems that need to be addressed before the customers can be convinced for the use of SMs. This paper has two contributions. First, it identifies the threats regarding user and data privacy in AMI applications and comprehensively surveys the existing solutions to address these threats. We categorize the existing approaches on privacy and discuss pros and cons of these approaches with respect to some criteria. Second, we pick one of the existing solutions on privacy, namely the homomorphic encryption, and evaluate its feasibility and impact on performance when used in data aggregation for real-time AMI applications. We investigate and compare the performance of homomorphic encryption in terms of data size and end-to-end delay with that of hop-by-hop secure data aggregation and data concatenation within a network of SMs via extensive simulations. We finally conclude the paper with some future privacy issues that are subject to further research. Copyright © 2013 John Wiley & Sons, Ltd.
机译:先进的计量基础架构(AMI)可以通过智能电网通信网络实时收集功耗数据。随着智能电表(SM)的当前部署,客户开始提出的关注点之一就是其功耗数据的私密性。这些数据的公开可能会导致一些隐私问题,在说服客户使用SM之前,需要解决这些问题。本文有两个贡献。首先,它可以识别AMI应用程序中与用户和数据隐私有关的威胁,并全面调查现有解决方案以应对这些威胁。我们将有关隐私的现有方法进行分类,并就某些标准讨论这些方法的优缺点。其次,我们选择一种有关隐私的现有解决方案,即同态加密,并评估其用于实时AMI应用程序的数据聚合时的可行性和对性能的影响。我们通过广泛的仿真研究和比较了同态加密在数据大小和端到端延迟方面的性能,以及在SM网络中逐跳安全数据聚合和数据串联的性能。我们最后总结了一些未来的隐私问题,这些问题有待进一步研究。版权所有©2013 John Wiley&Sons,Ltd.

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