Abstract

Huge amounts of sensitive data are generated and transmitted on a smart grid infrastructure. These data are used for acquisition of various parameters of interest from smart meters in the grid and control of the grid. However, wireless communication processes across the smart grid network are vulnerable to different attacks like any other wireless communication infrastructure, which has unavoidably given rise to concerns about how to efficiently secure services and preserve privacy in smart grid network especially in metering. In this article, an efficient approach and framework was introduced for secure metering and preservation of consumers’ privacy in different neighborhood area networks of different service providers of the smart grid communication network. Our approach effectively introduced a communication framework for efficient and secure metering, privacy preservation, load balancing, and billing using perturbation and data aggregation techniques. Computational and security analysis were performed to ascertain its efficiency in terms of computational cost, energy consumption, and security. The results showed that the approach not only prevented gleaning of the metering but did so at a relatively low computational overhead compared with other approaches.

摘要

在智能电网基础设施上生成并传输了大量敏感数据。这些数据用于从电网中的智能电表获取感兴趣的各种参数，以及控制电网。然而，跨智能电网网络的无线通信过程像其他任何无线通信基础设施一样，容易受到不同攻击的攻击，这不可避免地引起了人们对如何有效保护服务以及在智能电网网络（尤其是计量）中保护隐私的担忧。在本文中，介绍了一种有效的方法和框架，用于在智能电网通信网络的不同服务提供商的不同邻域网络中安全计量和保护消费者的隐私。我们的方法有效地引入了一种通信框架，可使用扰动和数据聚合技术来实现高效，安全的计量，隐私保护，负载平衡和计费。进行了计算和安全分析，以确定其在计算成本，能耗和安全性方面的效率。结果表明，与其他方法相比，该方法不仅可以防止计量收集，而且可以在较低的计算开销下进行。