论文标题
智能网格中的基于负载形状的隐私保护：概述
Load Shaping Based Privacy Protection in Smart Grids: An Overview
论文作者
论文摘要
智能电表（SM）收集的细颗粒能量使用数据是智能电网（SG）的关键组成部分之一。尽管此数据的收集提高了SG的效率和灵活性，但它也对消费者的隐私构成了严重威胁。通过诸如非感知设备负载监控（NALM）之类的技术，该数据可用于识别所使用的设备，因此可以披露消费者的私人生活。文献中已经提出了各种方法来保护消费者的隐私。本文着重于负载塑料（LS）方法，该方法通过家庭设施来改变消费数据以确保隐私。为了彻底分析这些方法对智能电网系统的有效性和适用性，介绍了隐私保护技术的概述以及LS方法，隐私措施和家庭设施的启发式。最后，讨论了与智能网格中隐私保护有关的可能的研究指示。
Fine-grained energy usage data collected by Smart Meters (SM) is one of the key components of the smart grid (SG). While collection of this data enhances efficiency and flexibility of SG, it also poses a serious threat to the privacy of consumers. Through techniques such as nonintrusive appliance load monitoring (NALM), this data can be used to identify the appliances being used, and hence disclose the private life of the consumer. Various methods have been proposed in the literature to preserve the consumer privacy. This paper focuses on load shaping (LS) methods, which alters the consumption data by means of household amenities in order to ensure privacy. An overview of the privacy protection techniques, as well as heuristics of the LS methods, privacy measures, and household amenities used for privacy protection are presented in order to thoroughly analyze the effectiveness and applicability of these methods to smart grid systems. Finally, possible research directions related to privacy protection in smart grids are discussed.
