Progressive Average-Based Smart Meter Privacy Enhancement Using Rechargeable Batteries
Progressive Average-Based Smart Meter Privacy Enhancement Using Rechargeable Batteries
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DOI：
10.1109/jiot.2019.2932085
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发表时间：
2019-07
影响因子：
10.6
通讯作者：
Iynkaran Natgunanathan;Mohammad Belayet Hossain;Yong Xiang;Longxiang Gao;Dezhong Peng;Jianxin Li
中科院分区：
文献类型：
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作者：
Iynkaran Natgunanathan;Mohammad Belayet Hossain;Yong Xiang;Longxiang Gao;Dezhong Peng;Jianxin Li
智能电表（SM）的使用在最近几天由于其提供的优势而显着增加。然而，对手有可能通过观察SM读数来提取关于消费者的私人信息。因此，保护使用短信的消费者的隐私非常重要。在SM隐私保护机制中，基于可再充电电池（RB）的机制是优选的，因为它们不改变SM读数。现有的机制不能保护隐私时，消费者的能源使用量低或高的一段较长的时间。此外，这些机制在能量管理单元（EMU）仅知道当前和过去的消费者能量需求的在线场景中不能很好地执行。为了解决这个问题，在这篇文章中，我们提出了一种新的在线隐私保护机制，使用渐进平均算法（PABA）来保护短信的隐私。建议的PABA使用两个独特设计的算法，以确保在高峰和非高峰期间的隐私保护和能源成本降低。此外，自适应输出平滑技术被用来进一步增强隐私。与针对SM隐私而设计的隐私保护机制相比，该机制在降低能量消耗的同时实现了更高的隐私量。仿真结果证明了所提出的隐私增强机制的有效性。
Usage of smart meters (SMs) have significantly increased in the recent days due to the advantages they offer. However, it is possible for an adversary to extract private information about a consumer by observing the SM readings. Therefore, it is important to protect the privacy of consumers using SMs. Among the SM privacy protection mechanisms, rechargeable battery (RB)-based mechanisms are preferred as they do not alter SM readings. The existing mechanisms cannot protect the privacy when the consumer energy usage is either low or high for a longer period. Furthermore, these mechanisms do not perform well in online scenario where the energy management unit (EMU) only knows the current and past consumer energy demands. To solve this problem, in this article, we proposed a novel online privacy protection mechanism to protect the privacy of SMs using a progressive average-based algorithm (PABA). The proposed PABA uses two uniquely designed algorithms to ensure protection of privacy and energy cost reduction during peak and off-peak periods. Moreover, an adaptive output smoothing technique is used to further enhance the privacy. Compared with the privacy protection mechanisms designed for tackling SM privacy, the proposed mechanism achieves higher amount of privacy while reducing the energy cost. The validity of the proposed privacy enhancement mechanism is demonstrated by simulation results.