{"title":"Efficient Blockchain-Based Data Aggregation Scheme With Privacy-Preserving on the Smart Grid","authors":"Lijing Lei;Feng Wang;Chenbin Zhao;Li Xu","doi":"10.1109/TSG.2024.3435054","DOIUrl":null,"url":null,"abstract":"With the development of smart grid, the introduction of blockchain technology provides a novel idea for secure power data sharing. The existing blockchain-based data aggregation schemes generally rely on a unique leader node to perform verification algorithms, but there may be a lazy leader node not performing aggregation data verification to save computation costs. In addition, in the existing verification mechanism, light nodes need to perform the same verification operations as the leader node, which results in resource-constrained light nodes being unable to bear. In this paper, we propose an efficient blockchain-based data aggregation scheme with privacy-preserving on the smart grid, called EC-ASPG, which implements a supervised mechanism for the lazy leader node, enhancing the security of the system. Furthermore, we propose a separable consensus verification mechanism, which can prevent other light nodes from performing duplicate verification operations like the leader node, effectively improving the efficiency of consensus verification. Finally, we present a formal security proof and comprehensive performance evaluations. The results show that our scheme is secure and outperforms the compared schemes in terms of performance analysis.","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":null,"pages":null},"PeriodicalIF":8.6000,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Smart Grid","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10612996/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
With the development of smart grid, the introduction of blockchain technology provides a novel idea for secure power data sharing. The existing blockchain-based data aggregation schemes generally rely on a unique leader node to perform verification algorithms, but there may be a lazy leader node not performing aggregation data verification to save computation costs. In addition, in the existing verification mechanism, light nodes need to perform the same verification operations as the leader node, which results in resource-constrained light nodes being unable to bear. In this paper, we propose an efficient blockchain-based data aggregation scheme with privacy-preserving on the smart grid, called EC-ASPG, which implements a supervised mechanism for the lazy leader node, enhancing the security of the system. Furthermore, we propose a separable consensus verification mechanism, which can prevent other light nodes from performing duplicate verification operations like the leader node, effectively improving the efficiency of consensus verification. Finally, we present a formal security proof and comprehensive performance evaluations. The results show that our scheme is secure and outperforms the compared schemes in terms of performance analysis.
期刊介绍:
The IEEE Transactions on Smart Grid is a multidisciplinary journal that focuses on research and development in the field of smart grid technology. It covers various aspects of the smart grid, including energy networks, prosumers (consumers who also produce energy), electric transportation, distributed energy resources, and communications. The journal also addresses the integration of microgrids and active distribution networks with transmission systems. It publishes original research on smart grid theories and principles, including technologies and systems for demand response, Advance Metering Infrastructure, cyber-physical systems, multi-energy systems, transactive energy, data analytics, and electric vehicle integration. Additionally, the journal considers surveys of existing work on the smart grid that propose new perspectives on the history and future of intelligent and active grids.