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Privacy-enhanced bi-directional communication in the Smart Grid using trusted computing

机译:使用可信计算的智能电网中增强隐私的双向通信

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Although privacy concerns in smart metering have been widely studied, relatively little attention has been given to privacy in bi-directional communication between consumers and service providers. Full bi-directional communication is necessary for incentive-based demand response (DR) protocols, such as demand bidding, in which consumers bid to reduce their energy consumption. However, this can reveal private information about consumers. Existing proposals for privacy-enhancing protocols do not support bi-directional communication. To address this challenge, we present a privacy-enhancing communication architecture that incorporates all three major information flows (network monitoring, billing and bi-directional DR) using a combination of spatial and temporal aggregation and differential privacy. The key element of our architecture is the Trustworthy Remote Entity (TRE), a node that is singularly trusted by mutually distrusting entities. The TRE differs from a trusted third party in that it uses Trusted Computing approaches and techniques to provide a technical foundation for its trustworthiness. A automated formal analysis of our communication architecture shows that it achieves its security and privacy objectives with respect to a previously-defined adversary model. This is therefore the first application of privacy-enhancing techniques to bi-directional smart grid communication between mutually distrusting agents.
机译:尽管已经对智能计费中的隐私问题进行了广泛的研究,但是在消费者和服务提供商之间的双向通信中,对隐私的关注却很少。全面的双向通信对于基于激励的需求响应(DR)协议(例如需求出价)而言是必需的,在该协议中,消费者希望降低能耗。但是,这可以显示有关消费者的私人信息。现有的用于增强隐私的协议的建议不支持双向通信。为了解决这一挑战,我们提出了一种增强隐私的通信体系结构,该体系结构结合了所有三个主要信息流(网络监视,计费和双向DR),并结合使用了时空聚合和差分隐私。我们体系结构的关键元素是可信赖的远程实体(TRE),该节点由互不信任的实体唯一地信任。 TRE与受信任的第三方的不同之处在于,它使用受信任的计算方法和技术来为其可信赖性提供技术基础。对我们的通信体系结构进行的自动形式化分析表明,相对于先前定义的对手模型,它可以实现其安全和隐私目标。因此,这是隐私增强技术在互不信任的代理之间的双向智能电网通信中的首次应用。

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