UPriv-AC:针对好奇公用事业的智能计量隐私保护机制

Tiago Bornia De Castro, N. Fernandes
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引用次数: 0

摘要

在智能电网中,智能电表取代了传统电表,实现了客户与公司之间近乎实时的通信。计量数据用于计费、监控和提供服务。然而,第三方恶意实体的截取或公用事业公司对数据的滥用可能会暴露客户的隐私。文献中关于保护终端用户隐私的解决方案讨论了数据聚合、同态加密和使用假名等技术。但是,它们并不能解决好奇的公用事业公司的问题。在本文中,我们提出了 UPriv-AC,一种具有盲签名和数据聚合功能的电表数据隐私保护机制。盲签名允许对每个用户的消费情况进行认证登记,但防止公用事业公司将认证假名映射到各自的电表。建议的聚合由电表以分散的方式执行,保护用户隐私不受好奇聚合者的影响,并通过网络接口识别用户身份。因此,我们的机制允许进行适当的网络监控,但阻止了公用事业公司建立可能泄露用户习惯和财产的消费者档案。我们将我们的建议与其他文献进行了比较分析。事实证明,盲签名比部分同态加密更安全,CPU 占用率低 50%。
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UPriv-AC: A Privacy-Preserving Mechanism for Smart Metering Against Curious Utility
In smart grids, smart meters replace traditional meters, enabling near real-time communication between customers and companies. The metering data serves for billing, monitoring, and service delivery. However, the interception of a third malicious entity, or the data misuse by the utility could expose customer privacy. The solutions in the literature to protect the privacy of end-users discuss techniques such as data aggregation, homomorphic encryption, and the use of pseudonyms. However, they don’t solve the problem of the curious utility. In this article, we propose the UPriv-AC, a meter data privacy protection mechanism with blind signature and data aggregation. The blind signature allows a certified registry of consumption per user, but preventing the utility from mapping the certified pseudonyms to their respective meters. The proposed aggregation, performed by the meters in a decentralized way, protects users’ privacy from curious aggregators and the user’s identification through the network interface. Hence, our mechanism allows a proper network monitoring, but stopping the utility from building consumer profiles that could reveal users habits and possessions. We analyzed our proposal in comparison with others in the literature. The blind signature proved to be more secure and with 50% lower CPU usage than the partially homomorphic encryption.
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