CB-DA: Lightweight and Escrow-Free Certificate-Based Data Aggregation for Smart Grid

CB-DA: Lightweight and Escrow-Free Certificate-Based Data Aggregation for Smart Grid
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DOI:
10.1109/tdsc.2022.3169952
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发表时间:
2023-05
影响因子:
7.3
通讯作者:
G. K. Verma;P. Gope;N. Saxena;Neeraj Kumar
G. K. Verma;P. Gope;N. Saxena;Neeraj Kumar
中科院分区:
计算机科学2区
文献类型:
--
作者:
G. K. Verma;P. Gope;N. Saxena;Neeraj Kumar

文献摘要

相似文献

智慧城市的最新发展包括对现代智能电网的先进和优化利用,而不是传统电网。SG的范例还将房屋转变为家庭区域网络,其中多个智能设备和电器连接到电力控制中心(ECC)。电器通过智能电表向ECC共享其负载和消耗相关信息。这种消费数据可用于供需管理,例如,根据需要增加或减少生产。然而,消费者数据的安全性和隐私性非常重要,因为细粒度的智能电表数据可能会显示用户在家中的存在/缺席。为了解决这个问题,文献中提出了几种基于公钥或基于身份的数据聚合方案。然而,大多数此类方案要么存在证书管理的复杂性,要么存在密钥托管问题。为了消除这些问题,本文提出了一种高效的基于证书的数据聚合(CB-DA)方案。在提出的CB-DA方案中,所有者选择一个密钥,然后将该密钥与证书一起用作解密/签名密钥。分析表明,本文提出的CB-DA在随机oracle模型下是安全的,并且比现有的数据聚合方案效率更高。
Recent development of smart cities includes advanced and optimized use of modern smart grid (SG) than the traditional power grid. The paradigm of SG has also transformed houses into a home area networks, where several smart devices and appliances are connected to the electricity control centers (ECC). Appliances share their load and consumption related information to ECC through smart meters. This consumption data may be used for supply-demand management, for example, by ramping production up or down as needed. However, security and privacy of the consumer's data are greatly important since fine-grained smart meter data may reveal users presence/absence in their house. To address this issue, several public-key-based or identity-based data aggregation schemes have been proposed in the literature. However, most of such schemes either suffer from the complexity of certificate management or key escrow problem. To eliminate these issues, in this paper, we propose an efficient certificate-based data aggregation (CB-DA) scheme. In the proposed CB-DA scheme, the owner selects a secret key and then use the secret key along with certificates as decryption/signing keys. Our analysis shows that the proposed CB-DA is secure under the random oracle model and more efficient than the existing data aggregation schemes.