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首页> 外文会议>IEEE Conference on Communications and Network Security >Despicable me(ter): Anonymous and fine-grained metering data reporting with dishonest meters
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Despicable me(ter): Anonymous and fine-grained metering data reporting with dishonest meters

机译：卑鄙的我（匿名）：使用不诚实的计量器报告匿名和细粒度的计量数据

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摘要

The Advanced Metering Infrastructure (AMI) is a fundamental component of modern Smart Grids, and allows fine-grained and real-time monitoring of the electricity consumption of utility customers. In an AMI, intelligent devices commonly called Smart Meters (SMs) communicate with an operation center for the purpose of management and billing. However, while on one hand this technology has the potential for advanced load balancing and grid management, it poses a threat to customers privacy. Indeed, an adversary can infer sensitive information about the end users by analyzing the metering data reported by the SMs. In this paper, we present the design of a privacy-preserving AMI for fine-grained metering data collection. We propose a collaborative protocol among SMs that achieves anonymous metering data delivery via a random multi-hop path. Our construction enables a verifier entity to detect any inconsistent behavior from SMs by accessing their internal log. Our scheme is scalable with the number of SMs in the network, and unlike existing methods, does not rely on trusted third-parties. We consider an adversarial setting where SMs are either honest-but-curious or controlled by a powerful adversary, whose aim is to deanonymize the received metering data. Finally, we prove that our protocol is secure and computationally efficient for the resource-constrained SM devices.
机译：先进的计量基础设施（AMI）是现代智能电网的基本组成部分，可以对公用事业客户的用电量进行细粒度和实时监控。在AMI中，通常称为智能电表（SM）的智能设备与运营中心进行通信，以进行管理和计费。但是，一方面，该技术具有进行高级负载平衡和网格管理的潜力，但它对客户的隐私构成了威胁。实际上，攻击者可以通过分析SM报告的计量数据来推断有关最终用户的敏感信息。在本文中，我们提出了一种用于细粒度计量数据收集的保护隐私的AMI的设计。我们提出了SM之间的协作协议，该协议可通过随机多跳路径实现匿名计量数据传输。我们的构造使验证者实体可以通过访问其内部日志来检测SM的任何不一致行为。我们的方案可以随着网络中SM的数量进行扩展，并且与现有方法不同，它不依赖于受信任的第三方。我们考虑一个对抗环境，其中SM要么诚实但好奇，要么由强大的对手控制，其目的是使接收到的计量数据匿名。最后，我们证明了我们的协议对于资源受限的SM设备是安全且计算效率高的。

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