Blockchain-Based Privacy-Preserving Sensor Data Sharing with Fine-Grained Authorization in Microgrid

• Published in: Security and communication networks 2023, Vol.2023, p.1-11
• Main Authors: Yu, Jinhu, Han, Yue, Zhang, Kai, Chen, Siyuan, Li, Jinguo
• Format: Article
• Language: English
• Subjects: Access control; Algorithms; Authenticity; Blockchain; Communications systems; Confidentiality; Consumers; Cryptography; Curves; Digital signatures; Distributed generation; Employment; Information sharing; Internet of Things; Lightweight; Privacy; Registration; Reputations; Sensors; Smart sensors; Wind turbines
• ISSN: 1939-0114; 1939-0122
• DOI: 10.1155/2023/9621839

Microgrid is a power system that includes various energy sources (e.g., solar panels and wind turbines), where a number of device status and sensing data are collected and transmitted by smart sensors. Based on sensing-as-a-service in microgrid, sensor owners and sensor data consumers can effectively perform data sharing operations. However, the state-of-the-art sensor data sharing works in microgrid have the following two limitations: (i) cannot support fine-grained authorization for sensor owners and sensor data consumers and (ii) fail to simultaneously consider confidentiality and authenticity for sensor data sharing. To address the problems, in this article, we propose a lightweight privacy-preserving sensing data sharing system with fine-grained authorization in microgrid. Technically, we employed attribute-based signature methodology to design a fined-grained authorization mechanism for sensor data users. Moreover, a lightweight hyper elliptic curve-based signcryption scheme is employed to provide confidentiality and authenticity for sensor data sharing. To clarify the feasibility of our proposed system, we implement the system and evaluate the performance. The experimental results show that the system achieves small communication and time overhead, as well as highly acceptable gas consumption of smart contract.