A Privacy-Preserving Scheme for Incentive-Based Demand Response in the Smart Grid
A Privacy-Preserving Scheme for Incentive-Based Demand Response in the Smart Grid
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DOI：
10.1109/tsg.2015.2412091
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发表时间：
2016-05-01
影响因子：
9.6
通讯作者：
Fang, Yuguang
中科院分区：
文献类型：
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作者：
Gong, Yanmin;Cai, Ying;Fang, Yuguang
智能电网中的高级计量基础设施（AMI）为电网运营商和客户提供实时信息，充分发挥需求响应（DR）的潜力。然而，它给客户带来了新的隐私威胁。先前的工作已经提出了AMI中的隐私保护方法，例如时间或空间聚合。在这些作品中的一个主要假设是，细粒度的数据不需要归因于个人。然而，这一假设并不成立，在基于激励的需求响应（IDR）计划，细粒度的计量数据需要分析个人的需求削减，因此，需要归因。在本文中，我们提出了一个隐私保护计划的智能电网中的IDR程序，使DR供应商计算个人需求削减和DR奖励，同时保护客户隐私。此外，在某些情况下，例如法律的争议，客户可以揭示他/她的身份并证明他/她的电力使用简档的所有权。我们实现了隐私和效率在我们的计划，通过几个密码原语的组合，如身份提交签名和部分盲签名。据我们所知，我们是第一个在智能电网中识别和解决IDR程序隐私问题的公司。
The advanced metering infrastructure (AMI) in the smart grid provides real-time information to both grid operators and customers, exploiting the full potential of demand response (DR). However, it introduces new privacy threats to customers. Prior works have proposed privacy-preserving methods in the AMI, such as temporal or spatial aggregation. A main assumption in these works is that fine-grained data do not need to be attributable to individuals. However, this assumption does not hold in incentive-based demand response (IDR) programs where fine-grained metering data are required to analyze individual demand curtailments, and hence, need to be attributable. In this paper, we propose a privacy-preserving scheme for IDR programs in the smart grid, which enables the DR provider to compute individual demand curtailments and DR rewards while preserving customer privacy. Moreover, a customer can reveal his/her identity and prove ownership of his/her power usage profile in certain situations, such as legal disputes. We achieve both privacy and efficiency in our scheme through a combination of several cryptographic primitives, such as identity-committable signatures and partially blind signatures. As far as we know, we are the first to identify and address privacy issues for IDR programs in the smart grid.