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A Practical Privacy-Preserving Data Aggregation (3PDA) Scheme for Smart Grid

机译:实用的智能电网隐私保护数据聚合(3PDA)方案

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摘要

The real-time electricity consumption data can be used in value-added service such as big data analysis, meanwhile the single user's privacy needs to be protected. How to balance the data utility and the privacy preservation is a vital issue, where the privacy-preserving data aggregation could be a feasible solution. Most of the existing data aggregation schemes rely on a trusted third party (TTP). However, this assumption will have negative impact on reliability, because the system can be easily knocked down by the denial of service attack. In this paper, a practical privacy-preserving data aggregation scheme is proposed without TTP, in which the users with some extent trust construct a virtual aggregation area to mask the single user's data, and meanwhile, the aggregation result almost has no effect for the data utility in large scale applications. The computation cost and communication overhead are reduced in order to promote the practicability. Moreover, the security analysis and the performance evaluation show that the proposed scheme is robust and efficient.
机译:实时用电量数据可用于大数据分析等增值服务,同时需要保护单个用户的隐私。如何平衡数据实用程序和隐私保护是至关重要的问题,其中保留隐私的数据聚合可能是可行的解决方案。大多数现有的数据聚合方案都依赖于受信任的第三方(TTP)。但是,此假设会对可靠性产生负面影响,因为拒绝服务攻击很容易使系统崩溃。本文提出了一种不带TTP的实用的隐私保护数据聚合方案,其中具有一定信任度的用户构造了一个虚拟的聚合区域来掩盖单个用户的数据,同时,聚合结果对数据几乎没有影响。大规模应用中的实用程序。为了提高实用性,减少了计算成本和通信开销。此外,安全性分析和性能评估表明该方案是鲁棒和有效的。

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