Department of Information Technology, The University of Haripur, Haripur 22620, Pakistan.
Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11633, Saudi Arabia.
Sensors (Basel). 2022 Mar 15;22(6):2269. doi: 10.3390/s22062269.
Despite the benefits of smart grids, concerns about security and privacy arise when a large number of heterogeneous devices communicate via a public network. A novel privacy-preserving method for smart grid-based home area networks (HAN) is proposed in this research. To aggregate data from diverse household appliances, the proposed approach uses homomorphic Paillier encryption, Chinese remainder theorem, and one-way hash function. The privacy in Internet of things (IoT)-enabled smart homes is one of the major concerns of the research community. In the proposed scheme, the sink node not only aggregates the data but also enables the early detection of false data injection and replay attacks. According to the security analysis, the proposed approach offers adequate security. The smart grid distributes power and facilitates a two-way communications channel that leads to transparency and developing trust.
尽管智能电网有诸多好处，但当大量异构设备通过公共网络进行通信时，人们会对其安全性和隐私性产生担忧。本研究提出了一种基于智能电网的家庭区域网络（HAN）的隐私保护方法。为了聚合来自各种家用电器的数据，该方法使用同态 Paillier 加密、中国剩余定理和单向哈希函数。物联网（IoT）启用的智能家居中的隐私是研究社区关注的主要问题之一。在所提出的方案中，汇聚节点不仅聚合数据，还能够实现对虚假数据注入和重放攻击的早期检测。根据安全分析，所提出的方法提供了足够的安全性。智能电网分配电力并提供双向通信通道，从而实现透明度和信任的建立。
